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		<id>https://pardeewiki.du.edu//index.php?title=Socio-Political&amp;diff=9169</id>
		<title>Socio-Political</title>
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		<updated>2018-09-24T01:56:13Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Please cite as: Hughes, Barry&amp;amp;nbsp;B., and José R. Solórzano. 2014. &amp;quot;IFs Governance and Socio-Cultural Model Documentation .&amp;quot; Working paper 2014.03.05.a. Pardee Center for International Futures, Josef Korbel School of International Studies, University of Denver, Denver, CO. Accessed DD Month YYYY &amp;amp;lt;https://pardee.du.edu/wiki/Socio-Political&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span&amp;gt;A substantial portion of the socio-political model of IFs is scattered throughout the other models. There are &amp;quot;policy handles&amp;quot; or intervention points throughout those models. For instance, in the population model, multipliers on the total fertility rate can reflect policy decisions (although they can also reflect the model user&#039;s judgment concerning social changes in the country or region, independent of policy). Patterns of regulation, subsidy, tax incidence, and provision of state services are so diffuse and complicated that we resort to looking at their aggregate consequences through various &amp;quot;policy handles&amp;quot; rather than trying to represent them explicitly.&amp;lt;/span&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information on this module, please use the links below or read more at [[Socio-Political#Socio-political_Equations|Socio-Political Equations Overview]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Structure and Agent System: Socio-Political&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;tableGrid&amp;quot; style=&amp;quot;width:100%;&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;5&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;width: 50%&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;System/Subsystem&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Socio-political&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Organizing Structure&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Social fabric&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Stocks&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Levels of human well-being and institutional development (human and social capital)&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Cultural structures&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; valign=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Flows&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Social expenditures&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Value change&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Key Aggregate&amp;amp;nbsp;&#039;&#039;&#039; &#039;&#039;&#039;Relationships&amp;amp;nbsp;&#039;&#039;&#039;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;(illustrative, not comprehensive)&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Growth in literacy and human development;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Democratic development, state failure&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; valign=&amp;quot;center&amp;quot; | &amp;lt;div style=&amp;quot;text-align: left&amp;quot;&amp;gt;&#039;&#039;&#039;Key Agent-Class Behavior&amp;amp;nbsp;&#039;&#039;&#039; &#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;text-align: left&amp;quot;&amp;gt;(illustrative, not comprehensive)&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Government efforts to develop human capital through spending on health, education, R&amp;amp;D&amp;lt;/div&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Unlike the use of cohort-component structures in demographics and of markets and social accounting matrices for economics, there is no standard organizing structure that is widely used for representing socio-political systems. In the context of the TERRA project, IFs developed a multi-component approach to structure that might be called the &amp;quot;social fabric&amp;quot; (a la Robert Pestel).&lt;br /&gt;
&lt;br /&gt;
Although representation of agent-class behavior would be of special interest in a socio-political module, most relationships in IFs remain at the level of aggregate specifications.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Dominant Relations: Socio-political&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Domestic Socio-Political Change: Dominant Relations&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Social and political change occurs on three dimensions (social characteristics or individual life conditions, values, socio-political institutions and process). Although GDP per capita is strongly correlated with all dimensions of change, it might be more appropriate to conceptualize a syndrome or complex of developmental change than to portray an economically-driven process.&amp;lt;ref&amp;gt;here is the first reference&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For causal diagram see [[Socio-Political#Socio-political_Flow_Charts|Socio-Political Flow Charts Overview]].&lt;br /&gt;
&lt;br /&gt;
For equations see, for example, [[Socio-Political#Socio-political_Equations|Socio-Political Equations Overview]].&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Key dynamics are directly linked to the dominant relations&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
*The model computes some key social characteristics/life conditions, including life expectancy and fertility rates in the demographic model, but the user can affect them via multipliers (mortm, tfrm). Literacy rate is an endogenous function of education spending, which the user can influence (via gdsm).&lt;br /&gt;
*The model computes value or cultural change on three dimensions: traditional versus secular-rational, survival versus self-expression, and modernism versus postmodernism, which the user can affect via additive factors (tradsrateadd, survseadd, matpostradd).&lt;br /&gt;
*Freedom, democracy (the POLITY measure), autocracy, economic freedom, and the status of women are all computed endogenously but can all be shifted by the user via multipliers (freedomm, democm, autocm, econfreem, gemm)&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Domestic Socio-Political Change: Selected Added Value&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The larger socio-political model provides representation and control over government spending on education, health, the military, R&amp;amp;D, foreign aid, and a residual category. Military spending is linked to interstate politics, both as a driver of threat and as a result of action-and-reaction based arms spending. The sub-model provides aggregated indicators of the physical quality of life and the human development index.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Socio-political Flow Charts&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
[[File:SP1.gif|frame|center|Visual representation of  the social and political module]]&lt;br /&gt;
&lt;br /&gt;
The social and political module represents a complex of interacting structures and processes. These include:&lt;br /&gt;
&lt;br /&gt;
*The various social characteristics or life conditions of individuals&lt;br /&gt;
*Human values, beliefs, and orientations’&lt;br /&gt;
*Social and political structures, informal as well as formal&lt;br /&gt;
*Social and political processes, both domestic and international&lt;br /&gt;
&lt;br /&gt;
Cultural foundations frame all of these components. And all of the components interact closely with human demographic and economic systems.&lt;br /&gt;
&lt;br /&gt;
The socio-political elements of IFs are among the most dynamically evolving aspects of the overall modeling system.&amp;amp;nbsp;Much, but not everything in the above figure has been fully represented yet within IFs; the figure indicates direction of development and shows implemented elements in italics.&lt;br /&gt;
&lt;br /&gt;
For more, please read the links below.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Characteristics: Life Conditions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Individuals are the foundations of society. Many social indicators are actually aggregated indicators of their condition. The Human Development Index (HDI) is a widely-used summary measure of that life condition, based on life expectancy, educational attainment, and GDP per capita.&lt;br /&gt;
&lt;br /&gt;
[[File:Sp2.gif|frame|center|Visual representation of life conditions]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Physical Quality of Life (PQLI)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The Overseas Development Council (then under the leadership of Jim Grant) developed and publicized a measure of (physical) quality of life (the PQLI) many years ago. It combines literarcy rate, infant mortality rate, and life expectancy, using scales from the lowest to the highest values in the global system. It weights the three scales equally. The literacy rate is, in turn, a function of the per capita spending levels on education, estimated cross-sectionally. In many respects the PQLI was a predecessor of the [[Socio-Political#Social_Characteristics:_Life_Conditions|human development index (HDI)]].[[File:Sp3.gif|frame|center|Visual representation of Physical Quality of Life (PQLI)]]&lt;br /&gt;
&lt;br /&gt;
Based on country/region-specific Physical Quality of Life, it is possible to compute world quality of life (WPQLI) and the North-South gap in quality of life (NSPQLI). Given country-specific literacy rates, it is also possible to compute world literacy (WLIT).&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Income Distribution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Income distribution is represented by the share of national income earned by the poorest 20 percent of the population. That share is obtained from data whenever possible, but is estimated from a cross-sectional relationship when necessary and changed over time by that relationship (the values tend, however, to be very stable both in the real world and in the model). Because initial conditions of variables affected by income share, such as fertility and mortality rates, already reflect existing income distributions, it is only the changes in that distribution relative to the expected value that the model uses in such relationships. A parameter (incshrm) is available to change income share and thus affect those variables influenced by it.&lt;br /&gt;
&lt;br /&gt;
[[File:Sp4.gif|frame|center|Visual representation of income distribution]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Characteristics: Networking&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Being electronically networked is an increasingly important aspect of human life condition. The number of networked persons (NUMNWP) is a function primarily of the growth rate in that number (NUMNWPGR). It is ultimately constrained, however, by the size of the population and by the number of connections and organizational memberships that people can have (numnwplim). The growth in networked person number slows as it approaches the ultimate limit. The model user can affect the growth pattern via a multiplier on the growth rate (numnwpgrm).&lt;br /&gt;
&lt;br /&gt;
This approach was added to IFs during the TERRA project and draws on the thinking of Tom Tesch and Pol Descamps.&lt;br /&gt;
&lt;br /&gt;
[[File:NetworkedPersons2.gif|frame|center|Visual representation of networking.]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Values and Cultural Evolution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs computes change in three cultural dimensions identified by the World Values Survey (Inglehart 1997). Those are dimensions of materialism/post-materialism, survival/self-expression, and traditional/secular-rational values.&lt;br /&gt;
&lt;br /&gt;
Inglehart has identified large cultural regions that have substantially different patterns on these value dimensions and IFs represents those regions, using them to compute shifts in value patterns specific to them.&lt;br /&gt;
&lt;br /&gt;
Levels on the three cultural dimensions are predicted not only for the country/regional populations as a whole, but in each of 6 age cohorts. Not shown in the flow chart is the option, controlled by the parameter &amp;quot;wvsagesw,&amp;quot; of computing country/region change over time in the three dimensions by functions for each cohort (value of wvsagesw = 1) or by computing change only in the first cohort and then advancting that through time (value of wvsagesw = 2).&lt;br /&gt;
&lt;br /&gt;
The model uses country-specific data from the World Values Survey project to compute a variety of parameters in the first year by cultural region (English-speaking, Orthodox, Islamic, etc.). The key parameters for the model user are the three country/region-specific additive factors on each value/cultural dimension (matpostradd, etc.).&lt;br /&gt;
&lt;br /&gt;
Finally, the model contains data on the size (percentage of population) of the two largest ethnic/cultural groupings. At this point these parameters have no forward linkages to other variables in the model.&lt;br /&gt;
&lt;br /&gt;
[[File:Sp6.gif|frame|center|Visual representation of social values and cultural evolution]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Organization and Change&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The sociopolitical module computes change in freedom (political and economic) and the status of women. For freedom it uses both the measure of the Freedom House and the combined measure for democracy (building on democracy and autocracy) of the POLITY project. It also computes a measure of economic freedom and of gender equality.[[File:Sp7.gif|frame|center|Visual representation of change in freedom and the status of women]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Organization: Stability/State Failure&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The State Failure project has analyzed the propensity for different types of state failures within countries, including those associated with revolution, ethnic conflict, genocide-politicide, and abrupt regime change (using categories and data pioneered by Ted Robert Gurr. Upon the advice of Gurr, IFs groups the first three as internal war and the last as political instability.&lt;br /&gt;
&lt;br /&gt;
IFs uses the same primary variables (infant mortality, democracy, and trade openness) as the State Failure project to drive forecasts of the probability of individual events of state failure, of ongoing episodes of it, and of the magnitude of episodes. In addition, it allows the use in the formulation of GDP per capita and years of education. Many other linkages have been and can be explored, including cultural regions.&lt;br /&gt;
&lt;br /&gt;
[[File:Sp8.gif|frame|center|Visual representation of stability/state failure]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Government Spending&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The economic submodel provides total government spending. Government spending by category begins as a simple product of total government consumption and fractional shares by spending category.&lt;br /&gt;
&lt;br /&gt;
Spending by type (military, health, education, research and development, other, and foreign aid) is largely specified exogenously, building on the initial conditions for each country/region. In addition, an action-reaction (arms-race) dynamic can be established in military spending if the action-reaction switch is turned on. After adjustments to foreign aid and military spending, spending in all categories is re-normalized to equal total governmental spending.&lt;br /&gt;
&lt;br /&gt;
Educational spending is further broken out of total educational spending. The user can shift the spending across three educational levels (primary, secondary, and tertiary) through the use of an educational multiplier.[[File:Gs1.gif|frame|center|Visual representation of government spending]]&lt;br /&gt;
&lt;br /&gt;
See also the specifications of [[Economics#Firm_Accounts|detailed final demand]]&amp;amp;nbsp;and of [[Economics#International_Finance|international finance]].&lt;br /&gt;
&lt;br /&gt;
== Drug Demand ==&lt;br /&gt;
&lt;br /&gt;
The UNODC drug report finds that illicit drug use is concentrated amongst the youth, notably young males living in an urban environment. The UNODC report also finds a pronounced gender gap in relation to illicit drug consumption. Gender equality and empowerment seems to act as a key driver when it comes to determining drug consumption. For example, in the United States, characterized by a small gender gap, female drug use is about two thirds that of males, whereas in some other countries, including India and Indonesia, female drug use is as low as one tenth that of males, though there is a risk that female drug use may be underreported.&lt;br /&gt;
&lt;br /&gt;
In addition, we have also found poverty, inequality and government health expenditure as drivers of specific types of drug prevalence. Policy options with respect to drug prevalence are represented in the model using multipliers which can be used to simulate an increase or decrease in drug prevalence. The table below lists the driving variables for each of the drug types.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; align=&amp;quot;center&amp;quot; cellspacing=&amp;quot;1&amp;quot; cellpadding=&amp;quot;1&amp;quot; style=&amp;quot;width: 444px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Drug Type&#039;&#039;&#039;&lt;br /&gt;
| &#039;&#039;&#039;Driving Variables&#039;&#039;&#039;&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | &#039;&#039;&#039;Driving Variables in IFS&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
Amphetamines&lt;br /&gt;
&lt;br /&gt;
| Youth Bulge, Gender Inequalities&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | YTHBULGE, GEM&lt;br /&gt;
|-&lt;br /&gt;
| Cocaine&lt;br /&gt;
| Consumption levels, Gender Empowerment Measure and Income Inequality&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | (C/POP), GEM, GINIDOM&lt;br /&gt;
|-&lt;br /&gt;
| Opiates&lt;br /&gt;
| Poverty, Youth Bulge and Urban Population&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | INCOMELT310LN, YTHBULGE, POPURBAN&lt;br /&gt;
|-&lt;br /&gt;
| Prescription Opiods&lt;br /&gt;
| Health Expenditure&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | HLEXPEND&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The figure below shows a diagrammatic representation of the drug demand model in IFs,&lt;br /&gt;
&lt;br /&gt;
[[File:DrugModelFinalKBN.jpg|frame|center|500x600px|Drug Demand in IFs]]&lt;br /&gt;
&lt;br /&gt;
== Violence ==&lt;br /&gt;
&lt;br /&gt;
Mortality from conflict is driven using the probability of internal war (SFINTLWARALL). Mortality from homicides and violence against women and children are driven using the youthbulge (YTHBULGE) and the GINI co-efficient (GINIDOM). &amp;amp;nbsp;&amp;amp;nbsp;Police violence deaths are driven by homicides(SVDTHSOTHERINTERPERSON) and the Corruption index in IFs (GOVCORRUPT). Finally, mortality from self-harm is calculated using mental health deaths (which are calculated in the health model) and deaths of women and children (SVDTHSWOMENANDCHILDREN). There are user controllable parameters available in the model to increase the death rates (&#039;&#039;&#039;&#039;&#039;svmulm&#039;&#039;&#039;&#039;&#039;) and the total number of deaths (&#039;&#039;&#039;&#039;&#039;svdthsadd&#039;&#039;&#039;&#039;&#039;) for each of the categories of violence. Finally, the homicide index(HOMICIDEINDEX) is calculated using each of the death rates mentioned above excluding self-harm. The homicide index itself is used in computing a conflict component of the security index in IFs (GOVINDSECUR).&lt;br /&gt;
&lt;br /&gt;
The figure below shows a visual representation of the violence model in IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:ViolenceModelFinal.jpg|frame|center|500x600px|Violence model in IFs]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Socio-political Equations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
A substantial portion of the policy model of IFs is scattered throughout the other models. There are &amp;quot;policy handles&amp;quot; or intervention points throughout those models. For instance, in the population model, multipliers on the total fertility rate can reflect policy decisions (although they can also reflect the model user&#039;s judgment concerning social changes in the country or region, independent of policy). Similarly, in the energy model, the multiplier on energy demand can represent conservation policy. Similarly, the ultimate energy resource base and the rate of resource discovery remain uncertain in part because they are subject to a wide range of government interventions - multipliers can introduce assumptions about such interventions. In the economic module, the level of trade protection is very clearly a policy parameter as is the multiplier on the tax rate. Patterns of regulation, subsidy, tax incidence, and provision of state services are so diffuse and complicated that we resort to looking at their aggregate consequences through various &amp;quot;policy handles&amp;quot; rather than trying to represent them explicitly.&lt;br /&gt;
&lt;br /&gt;
IFs contains other categories of sociol-political activity, however, that it represents in more integrated fashion in the sociopolitical module as a four-dimensional social fabric: social characteristics/life condition, values, social structures (formal and informal), and social processes.&lt;br /&gt;
&lt;br /&gt;
For help understanding the equations see [[Understand_IFs#Equation_Notation|Notation]].&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Life Conditions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Literacy changes from the initial level for the region because of a multiplier (LITM).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LIT_{\gamma}=\mathbf{LIT}^{t=1}_{\gamma}*LITM_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The function upon which the literacy multiplier is based represents the cross sectional relationship globally between educational expenditures per capita (EDEX) from the government submodel and literacy rate (LIT). Rather than imposing the typical literacy rate on a region (and thereby being inconsistent with initial empirical values), the literacy multiplier is the ratio of typical literacy at current expenditure levels to the normal literacy level at initial expenditure levels. This formulation predates the development of an educational module that calculates the numbers of those with a primary education (one common definition of literacy). As that module is refined, we will likely derive literacy dynamics from it.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LITM=\frac{AnalFunc(EDEX)}{AnalFunc(\mathbf{EDEX}^{t=1})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Educational expenditures (and thus implicitly literacy and labor efficiency) are tied back to the economic model via the economic production function.&lt;br /&gt;
&lt;br /&gt;
Given life expectancy, literacy, and infant mortality levels from the mortality distribution, it is possible to compute the Physical Quality of Life Index (PQLI) that the Overseas Development Council developed (ODC, 1977: 147#154). This measure averages the three quality of life indicators, first normalizing each indicator so that it ranges from zero to 100. The normaliza&amp;quot;tion is not needed for literacy; for life expectancy it converts the range of approximately 28 (LIFEXPMIN) to 80 (LIFEXPMAX) years into 0 to 100; for infant mortality it converts the range of approximately 229 per thousand (INFMORMAX) to 9 per thousand (INFMORMIN) into 0 to 100.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PQLI_{\gamma}=\frac{LIT_{\gamma}+\frac{LIFEXP_{\gamma}-\mathbf{lifexpmin}}{LifExpMax-\mathbf{lifexpmin}}*100+\frac{\mathbf{infmormax}-MORDST_{\gamma,c-1}}{\mathbf{infmormax}-InfMorMin}*100}{300}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifExpMax=Max(LIFEXP^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorMin=Min(INFMOR^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For most users, the United Nations Development Program’s human development index (HDI) has replaced the PQLI as an integrated measure of life condition. It is a simple average of three sub-indices for life expectancy, education, and GDP per capita (using purchasing power parity). The life expectancy sub-index is the same as was used for the PQLI. The literacy sub-index is again the literacy rate. The GDP per capita index is a logged form that runs from a minimum of 100 to a maximum of $40,000 per capita. The measure in IFs differs slightly from the HDI version, because it does not put educational enrollment rates into a broader educational index with literacy; that will be changed as the educational model of IFs is better tested.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDI_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{LIFEXPMAX-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(40000)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although the HDI is a wonderful measure for looking at past and current life conditions, it has some limitations when looking at the longer-term future. Specifically, the fixed upper limits for life expectancy and GDP per capita are likely to be exceeded by many countries before the end of the 21st century. IFs has therefore introduced a floating version of the HDI, in which the maximums for those two index components are calculated from the maximum performance of any state in the system in each forecast year.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDIFLOAT_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{HDILIFEMAXFLOAT-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(GDPPCPMAX)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The floating measure, in turn, has some limitations because it introduces relative attainment into the equation rather than absolute attainment. IFs therefore uses still a third version of the HDI, one that allows the users to specify probable upper limits for life expectancy and GDPPC in the twenty-first century. Those enter into a fixed calculation of which the normal HDI could be considered a special case.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDI21stFIX_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDILIFEMAX21=\mathbf{hdilifemaxf}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{HDILIFEMAX21-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Log(GDPPCP21)=Log(\mathbf{hdigdppcmax}*1000)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(GDPPCP21)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
It is useful to compute several additional global indicators, a world physical quality of life index (WPQLI), a world life expectancy (WLIFE), a world literacy rate (WLIT), and a North#South gap index or ratio of quality of life in the &amp;quot;developed -D&amp;quot; regions to the &amp;quot;less developed-L&amp;quot; regions (NSPQLI).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WPQLI=\frac{\sum^RPQLI_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WLIFE=\frac{\sum^RLIFEXP_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WLIT=\frac{\sum^RLIT_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NSPQLI=\frac{\frac{\sum^DPQLI_{\gamma}*POP_{\gamma}}{\sum^DPOP_{\gamma}}}{\frac{\sum^LPQLI_{\gamma}*POP_{\gamma}}{\sum^LPOP_{\gamma}}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Income Distribution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The income share of the poorest 20 percent of the population (INCSHR) depends on the GDP per capita at PPP (GDPPCP) and on an exogenous income share multiplier (incshrm).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCSHR^t_{\gamma}=INCSHR^t_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{incshrm_{\gamma}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The introduction of different household types into the social accounting matrix structure of IFs made possible the computation of a more sophisticated measure of income distribution tied directly to the model’s computation of household income (HHINC) and household size (HHPOP) by type. A domestic Gini value (GINIDOM) is calculated from a function that uses the normal Lorenz curve foundation for Gini indices. Because that function can calculate values that are quite different from the empirical initial values, a ratio of the empirical value to the initial computed value (GINIDOMRI) is used for scaling purposes. The model’s formulation of the relative household income levels of different household types, and therefore the calculation of a domestic GINI based on those income levels, are in early versions and are still rather crude.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINIDOM^t_{\gamma}=GINIFUN(HHINC_{R,S},HHPOP_{R,S})*GINIDomRI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINIDomRI^{t-1}_{\gamma}=\frac{GINIDOM^{t-1}_{\gamma}}{GINIFUN(HHINC^{{\gamma}-1}_{R,S},HHPOP^{t-1}_{R,S})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
One value of a domestic Gini calculation is that it, in turn, makes possible the calculation of the percentage of population living on less than one dollar per day (INCOMELT1) or two dollars per day (INCOMELT2). Functions were estimated linking GDP per capita at purchasing power (GDPPCP) and the Gini index to those percentages. Again, IFs uses initial conditions for scaling purposes.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT1^t_{\gamma}=AnalFunc(GDPPCP_{\gamma},GINIDOM_{\gamma})*INCOMELT1RI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT1RI^{t-1}_{\gamma}=\frac{\mathbf{INCOMELT1}^{t-1}{\gamma}}{AnalFunc(GDPPCP^{\gamma-1}_{\gamma},GINIDOM^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT2^t_{\gamma}=AnalFunc(GDPPCP_{\gamma},GINIDOM_{\gamma})*INCOMELT2RI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT2RI^{t-1}_{\gamma}=\frac{INCOMELT2^{t-1}_{\gamma}}{AnalFunc(GDPPCP^{\gamma-1}_{\gamma},GINIDOM^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
IFs also calculates a global Gini index across all countries/regions in the model, again using the standard Lorenz curve approach to areas of inequality and equality. It does not yet take into account intra-regional income differentials, but the foundation is now in place to do so.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINI^t_{\gamma}=GINIFUN(GDP_R,POP_R)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user interface of IFs now uses the same Lorenz-curve approach to allow the user to calculate a specialized-display GINI for any variable that can be represented across all countries/regions of the model.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Equations Networking&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The focal point of this portion of the model is on the computation of the total number of networked persons (NUMNWP). The rate of growth in that number (NUMNWPGR) is subject to several forces. The initial value of that rate is set in the data preprocessor of the model from empirical data. When no data are available for a country or region, the rate is set at a level determined via a cross-sectional relationship between GDP per capita (PPP) and portion of population networked.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NUMNWP_{\gamma}=NUMNWP^{t-1}_{\gamma}*(1+NumNwGR^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NumNwGR^t_{\gamma}=NUMNWPGR^{t-1}_{\gamma}*(\frac{nwplm-NUMNWP^{t-1}_{\gamma}}{nwplm-NUMNWP^{t-1}_{\gamma}})^2*numnwpgrm&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;nwplm=numnwplim*POP_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Over time the growth rate of networked persons is subject to a saturating function, as the actual number of networked persons approaches a limit. The limit is set by an exogenous multiplier (numnwplim) on total population; networked persons can exceed total population because of multiple affiliations of individuals (households, NGOs, companies). The user of the model can accelerate or de-accelerate the process of networking via a multiplier on the growth rate (numnwpgrm).&lt;br /&gt;
&lt;br /&gt;
Although of interest in its own right, the number of networked persons is also carried forward in the model to the production function of the economy.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Values&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs computes change in three cultural dimensions identified by the World Values Survey [[Introduction_to_IFs#IFs_Bibliography|(Inglehart 1997)]]. Those are dimensions of materialism/post-materialism (MATPOSTR), survival/self-expression (SURVSE), and traditional/secular-rational values (TRADSRAT). On each dimension the process for calculation is somewhat more complicated than for freedom or gender empowerment, however, because the dynamics for change in the cultural dimensions involves the aging of population cohorts. IFs uses the six population cohorts of the World Values Survey (1= 18-24; 2=25-34; 3=35-44; 4=45-54; 5=55-64; 6=65+). It calculates change in the value orientation of the youngest cohort (c=1) from change in GDP per capita at PPP (GDPPCP), but then maintains that value orientation for the cohort and all others as they age. Analysis of different functional forms led to use of an exponential form with GDP per capita for materialism/postmaterialism and to use of logarithmic forms for the two other cultural dimensions (both of which can take on negative values).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MATPOSTR_{\gamma,c-1}=\mathbf{MATPOSTR}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShMP}^t_{\gamma-cultural}+\mathbf{matpostradd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\mathbf{CultShMP}^t_{\gamma-cultural}=F(\mathbf{MATPOSTR}^{t-1}_{\gamma,c-1},AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SURVSE_{\gamma,c-1}=\mathbf{SURVSE}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShSE}^t_{\gamma-cultural}+\mathbf{survseadd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CultShSE^t_{\gamma-cultural}=F(\mathbf{SURVSE}^{t-1}_{\gamma,c-1}, AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TRADSRAT_{\gamma,c-1}=\mathbf{TRADSRAT}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShTS}^t_{\gamma-cultural}+\mathbf{tradsratadd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\mathbf{CultShTS}^t_{\gamma-cultural}=F(\mathbf{TRADSRAT}^{t-1}_{\gamma,c-1},AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user can influence values on each of the cultural dimensions via two parameters. The first is a cultural shift factor (e.g. CultSHMP) that affects all of the IFs countries/regions in a given cultural region as defined by the World Value Survey. Those factors have initial values assigned to them from empirical analysis of how the regions differ on the cultural dimensions (determined by the pre-processor of raw country data in IFs), but the user can change those further, as desired. The second parameter is an additive factor specific to individual IFs countries/regions (e.g. matpostradd). The default values for the additive factors are zero.&lt;br /&gt;
&lt;br /&gt;
Some users of IFs may not wish to assume that aging cohorts carry their value orientations forward in time, but rather want to compute the cultural orientation of cohorts directly from cross-sectional relationships. Those relationships have been calculated for each cohort to make such an approach possible. The parameter (wvsagesw) controls the dynamics associated with the value orientation of cohorts in the model. The standard value for it is 2, which results in the &amp;quot;aging&amp;quot; of value orientations. Any other value for wvsagesw (the WVS aging switch) will result in use of the cohort-specific functions with GDP per capita.&lt;br /&gt;
&lt;br /&gt;
Regardless of which approach to value-change dynamics is used, IFs calculates the value orientation for a total region/country as a population cohort-weighted average.&lt;br /&gt;
&lt;br /&gt;
IFs uses an approach that is similar to the one for literacy in order to estimate the future of another measure created by the United Nations Development Program, one called the Gender Equity Measure (GEM). The closer the values of that measure approach &amp;quot;1&amp;quot;, the closer women are to men in political and social power.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GEM_{\gamma}=GEM^{t-1}_{\gamma}*\frac{AnalFunc(GDPPC_{\gamma})}{AnalFunc(GDPPC^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Structures or Institutions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs endogenizes level of freedom (FREEDOM), based on the Freedom House measures, by linking change from initial conditions to GDP per capita at purchasing power parity in an analytic function. For discussion of the relationship between GDP and democracy, see [[Introduction_to_IFs#IFs_Bibliography|Londregran and Poole (1996)]]&amp;amp;nbsp;and [[Introduction_to_IFs#IFs_Bibliography|Przeworski and Limongi (1997)]]. The latter view it as a probabilistic relationship in which there are a variety of reasons (often external pressure) at all levels of economic development for the conversion of dictatorships to democracies and in which the conversion of democracies to dictatorships occurs commonly at low but not high levels of development. That pattern creates a positive correlation between economic development and democratic government. A multiplier in freedom level (freedomm) increases or decreases the level of freedom.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;FREEDOM_{\gamma}=FREEDOM^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(\mathbf{GDPPCP}^{t-1}_{\gamma})}*\mathbf{freedomm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The Economic Freedom Institute (with leadership from the Fraser Institute; see Gwartney and Lawson with Samida, 2000) have also introduced a measure of economic freedom. IFs represents that in similar fashion.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;ECONFREE_{\gamma}=ECONFREE^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{econfreem}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The POLITY project provides an alternative to the freedom house measure of freedom or democracy level. In fact, it provides multiple variables related to political system. IFs EARLIER included formations of two of those, democracy (DEMOC) and autocracy (AUTOC). They worked in completely analogous fashion.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOC_{\gamma}=DEMOC^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{democm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AUTOC_{\gamma}=AUTOC^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{autocm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
More recently, IFs has (1) combined the two Polity project measures into a single one as is often done with the Polity measures, setting POLITYDEMOC equal to democracy – autocracy + 10, a measure that runs from 0 to 20; (2) introduced a more complicated, multi-level forecast for the new measure.&lt;br /&gt;
&lt;br /&gt;
Specifically, the project identified three levels of analysis for factors that affect democratic change: domestic, regional, and systemic. At each of the three levels there are multiple factors that can affect democracy within states. At the domestic level we can identify two categories of factors in particular:&lt;br /&gt;
&lt;br /&gt;
*GDP per capita. This variable correlates highly with almost all measures of social condition; GDP provides the resources for democratization and other social change.&lt;br /&gt;
*values/culture. Values clearly do differ across countries and regions of the world and almost certainly affect propensity to democratize.&lt;br /&gt;
&lt;br /&gt;
At the regional level (or, more accurately, the &amp;quot;swing-states&amp;quot; level) we can also identify three prospective drivers:&lt;br /&gt;
&lt;br /&gt;
*world average effects. It is possible that the world average exerts a pull-effect on states around the world (for instance, increasingly globalization could lead to homogenization of a wide variety of social structures around the world).&lt;br /&gt;
*swing states effects. Some states within regions quite probably affect/lead others (obviously the former Soviet Union was a prime example of such a swing state within its sphere of influence, but there is reason to believe in lesser and less coercive effects elsewhere).&lt;br /&gt;
*regional average. States within a region possibly affect each other more generally, such that &amp;quot;swing states&amp;quot; are moved by regional patterns and not simply movers of them.&lt;br /&gt;
&lt;br /&gt;
At the system level we identify three:&lt;br /&gt;
&lt;br /&gt;
*systemic leadership impetus. It is often suggested that the United States and other developed countries can affect democratization in less developed countries, either positively or negatively&lt;br /&gt;
*snowballing of democracy (Huntington 1991). The wave character of democratization suggests that there may be an internal dynamic, a self-reinforcing positive feedback loop, of the process globally, partially independent of other forces that act on the process. Such a conclusion is consistent with the fact that idea spread and global regime development influence many types of social change (Hughes 2001)&lt;br /&gt;
*miscellaneous other forces. Historic analysis would identify world war, economic depression, and other factors to explain the global pattern of democratization, especially the surge or retreat of waves.&lt;br /&gt;
&lt;br /&gt;
A project document prepared for the CIA’s Strategic Assessment Group (SAG) analyzed historic data and, in cooperation with David Epstein and Larry Diamond, fit an approach to it that cut across these three levels (see Hughes 2002: 59-74 for elaboration and documentation of the empirical work). The empirical work is not documented again here. The work did not find significant and consistent regional level effects, however, and the regional variables are therefore normally turned off.&lt;br /&gt;
&lt;br /&gt;
The resulting formulation uses the domestic level as an initial base calculation because it is the empirically strongest piece, and later adds (optionally) the regional level effects and the systemic effects. The base calculation is further tied to the actual empirical levels in the initial year of the run, with the impact of the driving variables being felt only in change of those levels. An ‘expected&amp;quot; democracy level (DEMOCEXP) is computed using an analytic function that uses GDP per capita at purchasing power parity (GDPPCP) and the World Value Survey’s survival and self-expression dimension (SURVSE). These were found quite powerful in their level of correlation with democracy and the WVS dimension, interestingly, carries a cultural component into the formulation. The user can further modify this basic formulation with an exogenous multiplier (democm).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCPOLITYBase^t_{\gamma}=\mathbf{DEMOCPOLITY}^{t-1}_{\gamma}*\frac{DEMOCEXP^t_{\gamma}}{DEMOCEXP^{t-1}_{\gamma}}*\mathbf{democm}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCEXP^t_{\gamma}=AnalFunc(GDPPCP^t_{\gamma},SURVSE^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
It is also useful to have a separate calculation of the empirically strongest piece of the formulation, namely the domestic effects, but without any adjustment to the initial empirical values. The expected democracy variable (DEMOCEXP) carries that. It can be compared with the fully computed values to see the degree to which there may be tension in countries between democracy levels that GDP per capita and values would predict, on the one hand, and those that are in the initial data. The greatest tension levels tend to be in the Middle Eastern countries, where decmocracy is considerably below &amp;quot;expected&amp;quot; levels.&lt;br /&gt;
&lt;br /&gt;
The initial conditions of democracy in countries carry a considerable amount of idiosyncratic, country-specific influence, much of which can be expected to erode over time. Therefore a revised base level is computed that converges over time from the base component with the empirical initial condition built in to the value expected purely on the base of the analytic formulation. The user can control the rate of convergence with a parameter that specifies the years over which convergence occurs (polconv) and, in fact, basically shut off convergence by sitting the years very high.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sweffects}=1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:then &amp;lt;math&amp;gt;SwingEffects^t_{\gamma}=timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-1}*(WDemoc^{t-1}-DEMOCPOLITY^{t-1}_{\gamma-Swingee})+timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-2}*(DEMOCPOLITY^{t-1}_{\gamma-Swinger}-DEMOCPOLITY^{t-1}_{\gamma-Swingee})+timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-3}*(RgDemoc-DEMOCPOLITY^{t-1}_{\gamma-Swingee})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;timeadj=.2&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WDemoc^{t-1}=\frac{\sum^RDEMOCPOLITY^{t-1}_{\gamma}}{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
else&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SwingEffects^t_{\gamma}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On top of the country-specific calculation sits the (optional) regional or swing state effect calculation (SwingEffects), turned on by setting the swing states parameter (swseffects) to 1. The swing effects term has three components. The first is a world effect, whereby the democracy level in any given state (the &amp;quot;swingee&amp;quot;) is affected by the world average level, with a parameter of impact (swingstdem) and a time adjustment (timeadj) . The second is a regionally powerful state factor, the regional &amp;quot;swinger&amp;quot; effect, with similar parameters. The third is a swing effect based on the average level of democracy in the region (RgDemoc).&lt;br /&gt;
&lt;br /&gt;
David Epstein of Columbia University did extensive estimation of the parameters (the adjustment parameter on each term is 0.2). Unfortunately, the levels of significance were inconsistent across swing states and regions. Moreover, the term with the largest impact is the global term, already represented somewhat redundantly in the democracy wave effects. Hence, these swing effects are normally turned off and are available for optional use.&lt;br /&gt;
&lt;br /&gt;
Also on top of the country-level effects sits the effect of global waves (DemGlobalEffects). Those depend on the amplitude of waves (DEMOCWAVE) relative to their initial condition and on a multiplier (EffectMul) that translates the amplitude into effects on states in the system. Because democracy and democratic wave literature often suggests that the countries in the middle of the democracy range are most susceptible to movements in the level of democracy, the analytic function enhances the affect in the middle range and dampens it at the high and low ends.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemGlobalEffect^t_{\gamma}=(DEMOCWAVE^t-\mathbf{democwave^{t-1}})*EffectMul_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MDemocPolity^{t-1}_{\gamma}=MovingAverage(DEMOCPOLITY^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;EffectMul_{\gamma}=AnalFunc(MDemocPolity^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The democratic wave amplitude is a level that shifts over time (DemocWaveShift) with a normal maximum amplitude (democwvmax) and wave length (democwvlen), both specified exogenously, with the wave shift controlled by a endogenous parameter of wave direction that shifts with the wave length (DEMOCWVDIR). The normal wave amplitude can be affected also by impetus towards or away from democracy by a systemic leader (DemocImpLead), assumed to be the exogenously specified impetus from the United States (democimpus) compared to the normal impetus level from the U.S. (democimpusn) and the net impetus from other countries/forces (democimpoth).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCWAVE^t=DEMOCWAVE^{t-1}+DemocImpLead+\mathbf{democimpoth}+DemocWaveShift&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocImpLead=\frac{(\mathbf{democimpus-democimpusn)*eldemocimp}}{\mathbf{democwvlen}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocWaveShift=\mathbf{\frac{democwvmax}{demowvlen}}*DEMOCWVDIR&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Given both the global and regional/swing-state effects, it is possible to add these to the basic country calculation for the final computation of the level of democracy using the Polity scale. The size of the swing effects is constrained by an external parameter (swseffmax).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCPOLITY^t_{\gamma}=DEMOCPOLITYBaseRev^t_{\gamma}+SwingEffect^t_{\gamma}+DemGlobalEffects^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Stability/State Failure&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The State Failure project has analyzed the propensity for different types of state failures within countries, including those associated with revolution, ethnic conflict, genocide-politicide, and abrupt regime change (using categories and data pioneered by Ted Robert Gurr. Upon the advice of Gurr, IFs groups the first three as internal war and the last as political instability.&lt;br /&gt;
&lt;br /&gt;
The extensive database of the project includes many measures of failure. IFs has variables representing three measures in each of the two categories, corresponding to the probability of the first year of a failure event (SFINSTABY1 and SFINTLWARY1), the probability of the first year or a continuing year (SFINSTABALL and SFINTLWARALL), and the magnitude of a first year or continuing event (SFINSTABMAG and SFINTLWARMAG).&lt;br /&gt;
&lt;br /&gt;
Using data from the State Failure project, formulations were estimated for each variable using up to five independent variables that exist in the IFs model: democracy as measured on the Polity scale (DEMOCPOLITY), infant mortality (INFMOR) relative to the global average (WINFMOR), trade openness as indicated by exports (X) plus imports (M) as a percentage of GDP, GDP per capita at purchasing power parity (GDPPCP), and the average number of years of education of the population at least 25 years old (EDYRSAG25). The first three of these terms were used because of the state failure project findings of their importance and the last two were introduced because they were found to have very considerable predictive power with historic data.&lt;br /&gt;
&lt;br /&gt;
The IFs project developed an analytic function capability for functions with multiple independent variables that allows the user to change the parameters of the function freely within the modeling system. The default values seldom draw upon more than 2-3 of the independent variables, because of the high correlation among many of them. Those interested in the empirical analysis should look to a project document (Hughes 2002) prepared for the CIA’s Strategic Assessment Group (SAG), or to the model for the default values.&lt;br /&gt;
&lt;br /&gt;
One additional formulation issue grows out of the fact that the initial values predicted for countries or regions by the six estimated equations are almost invariably somewhat different, and sometimes quite different than the empirical rate of failure. There may well be additional variables, some perhaps country-specific, that determine the empirical experience, and it is somewhat unfortunate to lose that information. Therefore the model computes three different forecasts of the six variables, depending on the user’s specification of a state failure history use parameter (sfusehist). If the value is 0, forecasts are based on predictive equations only. The equation below illustrates the formulation and that for the other five state failure variables varies with estimation. The analytic function obviously handles various formulations including linear and logarithmic.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=0&amp;lt;/math&amp;gt; then (no history)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=PredictedTerm^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm^t_{\gamma}=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If the value of the sfusehist parameter is 1, the historical values determine the initial level for forecasting, and the predictive functions are used to change that level over time. Again the equation is illustrative.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=1&amp;lt;/math&amp;gt; then (use history)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=\frac{PredictedTerm^t_f}{PredictedTerm^{t-1}_f}*\mathbf{SFINSTABALL}^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If the value of the sfusehist parameter is 2, the historical values determine the initial level for forecasting, the predictive functions are used to change the level over time, and the forecast values converge over time to the predictive ones, gradually eliminating the influence of the country-specific empirical base. That is, the second formulation above converges linearly towards the first over years specified by a parameter (polconv), using the CONVERGE function of IFs.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=3&amp;lt;/math&amp;gt; then (converge)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALLBase^t_{\gamma}=\frac{PredictedTerm^t_f}{PredictedTerm^{t-1}_f}*\mathbf{SFINSTABALL}^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=ConvergeOverTime(SFINSTABALLBase^t_{\gamma},PredictedTerm^t_f,\mathbf{polconv})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Probability of state failure from different causes ==&lt;br /&gt;
&lt;br /&gt;
The variables represent the probability of failure with respect to distinct conceptual groups of drivers.&lt;br /&gt;
&lt;br /&gt;
*SFDEM (demography)&lt;br /&gt;
*SFECONDEV (economic/development)&lt;br /&gt;
*SFGOV (governance)&lt;br /&gt;
*SFIMBAL (structural imbalances)&lt;br /&gt;
&lt;br /&gt;
=== Input variables needed to compute the probabilities ===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;1&amp;quot; cellpadding=&amp;quot;1&amp;quot; width=&amp;quot;0&amp;quot; style=&amp;quot;width:576px;&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 150px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Drivers&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 72px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Coeff.&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 138px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Units&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 84px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Transformation&lt;br /&gt;
&lt;br /&gt;
! style=&amp;quot;width: 132px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Other specification&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Demography&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Infant mortality&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.77919&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Deaths/1000 Births&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
population&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.30204&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Millions&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Population growth&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.07767&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Youth bulge (15-29/15+)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.0077&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Net migration&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
-0.29432&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Millions&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
-8.23582&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Economic/Development&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.30591&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Thousands (2011 PPP)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
GDP/cap (log) growth&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.06393&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Life expectancy&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.02537&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Years&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-2.06558&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Governance&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Polity&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.03273&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-10 to 10&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Polity^2&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.02155&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Polity&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-2.89726&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Structural Imbalances&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
polity v GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.04735&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Polity - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln(GDP/cap)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Pooled&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Life Exp. v GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.0558&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Life Exp. - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln(GDP/cap)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Partial Pool (re)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Youth Bulge v Polity&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.0131&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Yth Blg&amp;amp;nbsp;% - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Based on year 2013&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-4.23404&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Formulation for the probabilities is below, where β0 is the constant, β1…k are the parameters listed above, and X1…k are the driver values&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Economic Inequality and Political Conflict&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs does not yet include this important relationship. See Lichbach (1989) and Moore, Lindstrom, and O’Regan (1996) for analyses of how difficult this relationship is to specify. One critical problem is conceptualization of political conflict, political repression, political instability, political violence, political protest, etc. There are clearly many interacting, but separate dimensions for consideration. As Lichbach (1989: 448) says, &amp;quot;robust EI-PC laws have not been discovered.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
== Drug Model Equations ==&lt;br /&gt;
&lt;br /&gt;
We use linear regressions for each of the variables described above. We fit&amp;amp;nbsp;this linear equation to logistic curves to derive the final prevalence rate. The methodology used here is similar to what is used in the water and sanitation model in the International Futures tool to compute access to water and sanitation.&amp;lt;ref&amp;gt;Rothman, D.S. and Irfan M.T, IFs infrastructure model documentation, Working Paper 2013.07.22, Josef Korbel School of International Studies, University of Denver, Denver CO. https://pardee.du.edu/ifs-infrastructure-model-documentation&amp;lt;/ref&amp;gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
The values are computed using the equations given below,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=(0.040239 * \frac{C_{R}}{POP_{R}}) + (1.966652 * GEM_{R}) + (0.476489* GINIDOM_{R}) - 8.7474&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=(3.522315 * YTHBULGE_{R}) + (2.495262* GEM_{R})-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=(-.1.946209* LN(100 * \frac{INCOMELT310LN _{R}}{ POP_{R}}) + &amp;lt;/math&amp;gt;&lt;br /&gt;
::::::::::::&amp;lt;math&amp;gt;(4.236404* YTHBULGE_{R}) + (.7277734 * LN(100 * \frac{POPURBAN _{R}}{ POP_{R}}) - 8.601204&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=(.2469778 * 100 * \frac{HLEXPEND_{R}} {GDP_{R}})-7.063833&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
​&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
*C is the amount of household consumption in billion USD&lt;br /&gt;
*POP is the population&lt;br /&gt;
*YTHBULGE is the youth bulge (Population aged between 15-29 years as a percent of the total population)&lt;br /&gt;
*INCOMELT310LN is the number of people living in poverty (earning less than USD 3.10 per day.&lt;br /&gt;
*POPURBAN is the number of people living in urban areas.&lt;br /&gt;
*HLEXPEND is the amount of health spending (private and public)&lt;br /&gt;
*GDP is the gross domestic product&lt;br /&gt;
&lt;br /&gt;
=== Pre-Processor and first year ===&lt;br /&gt;
&lt;br /&gt;
The values for drug prevalence are initialized using illicit drug demand data from the UNODC. However, data availability from this source is low. Appendix II shows the data coverage across countries from the UNODC. Therefore, filling holes for the first year where no data is available is crucial. There are three options available to the user when filling holes. They are,&lt;br /&gt;
&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using IHME equations to fill holes- &amp;amp;nbsp;&#039;&#039;&#039;The institute for health and metric evaluation also provides data on drug prevalence and this source has much higher coverage (184 countries from 1990 to 2016). However, this data pertains to treatment of drug prevalence. We developed regression equations to estimate levels of illicit drug use from the IHME drug prevalence data set. Appendix III describes these regression equations in detail.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using forecast year equations - &#039;&#039;&#039;This method uses the forecast year equations to derive the drug prevalence value for the first year of the model.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using regional averages from the UNODC- &#039;&#039;&#039;Alternatively, we can also use regional averages for illicit drug prevalence to fill in holes for individual countries. &amp;amp;nbsp;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user can choose the initialization method using the parameter &#039;&#039;&#039;&#039;&#039;druginitsw&#039;&#039;&#039;&#039;&#039;. By default the model will choose the first option i.e. using IHME equations to fill in holes for the first year of the model.&lt;br /&gt;
&lt;br /&gt;
=== Forecast Years ===&lt;br /&gt;
&lt;br /&gt;
==== Computing Drug Demand Using the Bottom Up Approach ====&lt;br /&gt;
&lt;br /&gt;
In the forecast years, logistic regressions are used to first estimate the drug prevalence rates. The equations for amphetamines are shown below,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{amphetamines}=(3.522315 * YTHBULGE_{R} )+ (2.495262* GEM_{R} )-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{cocaine}=(.040239 * \frac{C_{R}}{POP_{R}} + (1.96421* GEM_{R} )+(.0476489* GINIDOM_{(R)})-8.7474&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{opiates}=(.7277734 * LN(POPURBAN_{R} ))+ (.42364* YTHBULGE_{R} )+(-.1946*LN(INCOMELT190LN_{R} ))-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{presopioid}=(.2469778 * HLEXPEND_{R})-7.06&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This value is then used to compute the prevalence rate for each of the four drug types as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=100*\frac{e^{(z_{amphetamines} )}}{1+e^{(z_{amphetamines}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=100*\frac{e^{(z_{cocaine} )}}{1+e^{(z_{cocaine}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=100*\frac{e^{(z_{opiates} )}}{1+e^{(z_{opiates}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=100*\frac{e^{(z_{presopioid} )}}{1+e^{(z_{presopioid}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above values are then adjusted for the shift factor, multipliers and a cap on the maximum possible value&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=AMIN(DRUGUSEAMPHETAMINE_{R}+DrugShift_{R} ),2.3)*druguseamphetaminem_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=AMIN(DRUGUSECOCAINE_{R}+DrugShift_{R} ),2.3)*drugusecocainem_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=AMIN(DRUGUSEOPIATES_{R}+DrugShift_{R} ),2.3)*druguseopiatesm_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=AMIN(DRUGUSEPRESCRIPTOPIOID_{R}+DrugShift_{R} ),2.3)*druguseprescriptopioidm_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;DrugShift&#039;&#039;&#039; is the shift factor computed in the first year of the model which is used to chain the forecast values to the historical values from the data&lt;br /&gt;
&lt;br /&gt;
2.3 is the cap on drug prevalence for amphetamines.&amp;amp;nbsp;&amp;lt;ref&amp;gt;These caps have been chosen on the basis of the highest historical global prevalence rates&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;AMIN&#039;&#039;&#039; is the function used to get the minimum value of drug prevalence and the cap (2.3). Since prevalence of drug usage tends to be slow moving over time, we have also capped the rate of growth of the prevalence rate for all four drug types. The growth rate in the drug prevalence rate is capped at 5 percent for every country for every year. However, this growth rate is not applicable when the parameters on drug prevalence rate are activated by a user.&lt;br /&gt;
&lt;br /&gt;
Finally, total drug use is computed as the average of the four drug types divided by a &#039;&#039;&#039;drugusepolyindex&#039;&#039;&#039; parameter which is set to 1.2. This is done to account for users who use multiple drugs.&lt;br /&gt;
&lt;br /&gt;
=== Adjusting Drug Use Using the Top Down Approach ===&lt;br /&gt;
&lt;br /&gt;
The paragraph above described the computation of drug prevalence using the bottom up approach (i.e. drug prevalence is computed for each drug type individually and this is used to compute total drug demand). However, another approach to computing drug demand would be to compute total drug demand first and distribute that across drug types (i.e. a top down approach). The model computes total drug demand using this top down approach and then converges the drug demand computed through the bottom up approach to the same&lt;br /&gt;
&lt;br /&gt;
The top down model uses youth bulge and household consumption as the two main drivers.&lt;br /&gt;
&lt;br /&gt;
Total drug demand is calculated as,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{druguseest}=(1.245 * YTHBULGE_{R} )+ (.508* \frac{C_{R}}{POP_{R}})-3.498&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DruguseEst_{R}=100*\frac{(e^{(z_{druguseest} )}}{1+e^{(z_{druguseest} )}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The total drug use from the bottom up approach is converged to the above value over a period of 100 years. Note that there is a restriction on the year growth and decline rate of total drug use of 2%.&lt;br /&gt;
&lt;br /&gt;
== Violence Model Equations ==&lt;br /&gt;
&lt;br /&gt;
=== Pre-processor and first year ===&lt;br /&gt;
&lt;br /&gt;
In the pre-processor, each of the violence variables are initialized using death rate data from the Institute for Health and Metric Evaluation (IHME). Please note that we only forecast mortality and the model currently does not have a representation of the prevalence of violence.&lt;br /&gt;
&lt;br /&gt;
For the conflict deaths, instead of using the latest data point for initialization, we use a weighted average of conflict deaths from the previous 10 years which is then divided by two to generate a more realistic number for the initialization.&lt;br /&gt;
&lt;br /&gt;
Where no data is available for any particular type of violence, we use the forecast equations to fill in holes for the first year of the model.&lt;br /&gt;
&lt;br /&gt;
In the first year of the model, we need to make sure that the total deaths from violence matches the total deaths from intentional injuries in the health model. Hence we normalize the total violence deaths to the total intentional injuries deaths. Please note that this normalization is optional&amp;amp;nbsp;(i.e. the user can activate a switch &#039;&#039;&#039;&#039;&#039;svvionormsw&#039;&#039;&#039;&#039;&#039;). The normalization will also be activated in the event the user turns on the forward linkage switch from the violence model to the health model &#039;&#039;&#039;&#039;&#039;svtohlsw&#039;&#039;&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
For the normalization we first calculate the total deaths from intentional injuries in the health model. This term is called the AdjustedViolenceTerm. Now, we calculate the total deaths from the violence model and call this tem SVTerm. The deaths from the violence model are now normalized to the deaths from the health model using the equations below. (The below equation is used for normalizing conflict deaths. Similar equations are used for the other types of violence),&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICT_{R}=((AdjustedViolenceTerm_{R}*(SVDTHSCONFLICT_{R}*POP_{R}/SVTerm_{R})/POP_{R})*100000&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
POP is the total population&lt;br /&gt;
&lt;br /&gt;
Shift factors are then calculated in the first year to chain the forecast values to the historical data.&lt;br /&gt;
&lt;br /&gt;
=== Forecast Years ===&lt;br /&gt;
&lt;br /&gt;
In the forecast years estimated values are calculated using forecast equations for each type of violence. The forecast equations have been explained in Table 1 below. Each of the types of violence are calculated using this estimated value and the respective shift factor calculated in the first year of the model and the multipliers on the death rates are applied.&lt;br /&gt;
&lt;br /&gt;
The equations used are as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICT_{R}=((ConflictEst)_{R}+ConflictShift_{R})*svmulm_{R,2} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSOTHERINTERPERSON_{R}=(HomicideEst_{R}+HomicideShift_{R})*svmulm_{R,5} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSWOMENCHILDREN_{R}=(WomenandChilEst_{R}+WomenandChilShift_{R})*svmulm_{R,4} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSPOLICS_{R}=(PoliceEst_{R}+ PoliceShift_{R})*svmulm_{R,3} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSELFHARM_{R}=(SelfHarmEst_{R}+ SelfHarmShift_{R})*svmulm_{R,1} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
ConflictEst, HomicideEst, WomenandChilEst, PoliceEst and SelfHarmEst are the estimated level of&amp;amp;nbsp;deaths calculated using the forecast equations.&lt;br /&gt;
&lt;br /&gt;
ConflictShift, HomicideShift, WomenandChilShift, PoliceShift and SelfHarmShift are the shift factors calculated in the first year of the model.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; width=&amp;quot;0&amp;quot; style=&amp;quot;width:694px;&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|+ Functions used to compute estimates in the forecast years in the violence model&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;No&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Function&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;R-Squared&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Independent variable&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Co-efficient&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Constant&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
1&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Conflict deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.5885&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Internal War magnitude&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
.5501&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
.0991&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; rowspan=&amp;quot;2&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
2&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Police violence deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.1447&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Log of homicides&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
.25879&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-3.3145&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Police violence deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.1447&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Log of corruption&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
0.28308&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-3.3145&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; rowspan=&amp;quot;2&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
3&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Interpersonal Violence Deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.21&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Youthbulge&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
1.04344&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-10.5462&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Interpersonal Violence Deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.21&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
GINI&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
2.4341&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-10.5462&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
After this, the total number of deaths are calculated for each category. For this purpose, we first calculate the total populations for adult males, women and children from the population model as &#039;&#039;&#039;AdultMaleTerm&#039;&#039;&#039;, &#039;&#039;&#039;WomenTerm&#039;&#039;&#039; and &#039;&#039;&#039;ChildrenTerm&#039;&#039;&#039; respectively. Next, we calculate the total number of deaths for each of the categories and apply the additive parameters on total deaths (&#039;&#039;&#039;&#039;&#039;svdthsadd&#039;&#039;&#039;&#039;&#039;) as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSOTHERINTERTOT_{R}=(SVDTHSOTHERINTERPERSON_{R}/100000)*AdultMaleTerm)+svdthsadd_{R,5}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSPOLICSTOT_{R}=(SVDTHSPOLICS_{R}/100000)*POP_{R})+svdthsadd_{R,3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSWOMENANDCHILTOT_{R}=(SVDTHSWOMENANDCHILDREN_{R}/100000)*(WomenTerm_{R}+ChildrenTerm_{R}))+svdthsadd_{R,3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICTTOT_{R}=(SVDTHSCONFLICT_{R}/100000)*POP_{R})+svdthsadd_{R,2}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSELFHARMTOT_{R}=(SVDTHSSELFHARM_{R}/100000)*POP_{R})+svdthsadd_{R,1}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this stage, we calculate the total deaths from societal violence as a simple sum of each of the above categories,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSOCIETALVIOLENCETOT_{R}=(SVDTHSCONFLICTTOT_{R}+SVDTHSOTHERINTERTOT_{R}+SVDTHSPOLICSTOT_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;+SVDTHSWOMENANDCHILTOT_{R}+SVDTHSSELFHARMTOT_{R})+ svdthsadd_{R,6}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Because&amp;amp;nbsp;we have applied additive parameters above, we perform a recalculation of the total death rates using the total number of deaths from each category of violence.&lt;br /&gt;
&lt;br /&gt;
We now calculate the total death rate from societal violence,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SOCIETALVIOLENCEDEATHS_{R}=(SVDTHSSOCIETALVIOLENCETOT_{R}/POP_{R} )*100000&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, the homicide index is calculated using each of the above except self-harm. The contribution of each term to the homicide index can be changed using the parameter &#039;&#039;&#039;&#039;&#039;svindexm&#039;&#039;&#039;&#039;&#039;. Each term is set to a value of 1 in the Base Case.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Policy Equations: Government Expenditures&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The fiscal model of IFs is quite simple and builds on the computation of government consumption (GOVCON) in the economic model.&lt;br /&gt;
&lt;br /&gt;
IFs expenditures fall into six categories: military, health, education, research and development, other, and foreign aid. IFs divides total government consumption (GOVCON) into these five destination sectors (GDS) with a vector of government spending coefficients (GK) based on initial conditions. The user can change that default pattern of government spending over time with a multiplier parameter (gdsm). The model normalizes the allocation to assure that the money spent is no more or less than total government consumption.&lt;br /&gt;
&lt;br /&gt;
The last category of spending complicates the allocation of spending to destination categories. It is traditional not to think of foreign aid in terms of its percentage of the governmental budget (as we often think of defense or educational expenditures), but to think of it in terms of a percentage of the GDP. For instance, the United Nations has called for foreign aid spending equal to 0.7% (earlier 1.0%) of GDP of donor countries. Moreover, for some governments, foreign aid is not an expenditure, but a receipt and an addition to government revenues.&lt;br /&gt;
&lt;br /&gt;
Therefore IFs actually calculates foreign aid expenditures and receipts first and fixes those amounts (see the [[Socio-Political#Policy_Equations:_Foreign_Aid|foreign aid equations]]). It then allocates the amount of government spending that remains in the coffers of aid donors (or the augmented amount available to aid recipients) among the other categories, normalizing the allocation to the sum of the coefficients in those other categories.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDS^t_{\gamma,g}=GOVCON_{\gamma}*GK^{t-1}_{\gamma,g}*\mathbf{gdsm}_{\gamma,g}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GK^{t-1}_{\gamma,g}=\frac{\mathbf{GDS}^{t-1}_{\gamma,g}}{\mathbf{GOVCON}^{t-1}_{\gamma}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
There are several forward linkages of government spending that are important. A mortality multiplier (MORTMG) is computed for the demographic model, using changes in health spending from the initial year and a parameter of the impact of that spending (elashc).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MORTMG_{\gamma}=1-(\frac{GDS_{\gamma,g=health}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=health}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elashc}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Three of the forward linkages carry information on spending to the calculation of multifactor productivity in the economic production function, for additive rather than multiplicative use. One variable tracks change in education spending (CNGEDUC), modified by an elasticity of education on MFP (elmfped) and carries it forward. Another tracks changes in health spending (CNGHLTH) using a parameter (elmfphl). The third tracks changes in R&amp;amp;D spending with a parameter of impact (elmfprd). In each case there is a lag involved because of computational sequence.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGEDUC^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=educ}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=educ}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfped}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGHLTH^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=health}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=health}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfphl}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGRAND^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=R\&amp;amp;D}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=R\&amp;amp;D}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfprd}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Because essentially of an older variable form for the education term that is still used in the agricultural model’s production function, the first of the three terms is transferred to that older variable (LEFMG).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LEFMG^{t-1}_{\gamma}=CNGEDUC^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Policy Equations: Foreign Aid&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs uses a &amp;quot;pool&amp;quot; approach to aid (AID) rather than indicating bilateral flows from particular donors to particular recipients. That is, all aid from all donors flows into the pool and then all recipients draw proportions of the pool.&lt;br /&gt;
&lt;br /&gt;
IFs uses the aid value parameter (AIDDON) to calculate the aid (AID) from donors and AIDREC to calculate the targeted aid to recipients. The pool of aid donations determines the actual total level of interstate aid flows, however, and is allocated among potential recipients according to the proportions targeted for each.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AID_{\gamma}=\frac{GDP*(\mathbf{aidrec}_{\gamma}-\mathbf{aiddon}_{\gamma})}{100}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Aid outflows are negative and the total aid pool given (AIDP) is the sum of the negative flows, while the total desired aid of recipients (AIDR) is the sum of positive flows.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AIDP=\sum^R-AID_{\gamma}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;lt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AIDR=\sum^RAID_{\gamma}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;gt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
A recomputation of aid for recipients distributes the aid pool across their demands.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AID=AIDP*\frac{AID_{\gamma}}{AIDR}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;gt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
:&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= References =&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Socio-Political&amp;diff=9168</id>
		<title>Socio-Political</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Socio-Political&amp;diff=9168"/>
		<updated>2018-09-24T01:51:27Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Please cite as: Hughes, Barry&amp;amp;nbsp;B., and José R. Solórzano. 2014. &amp;quot;IFs Governance and Socio-Cultural Model Documentation .&amp;quot; Working paper 2014.03.05.a. Pardee Center for International Futures, Josef Korbel School of International Studies, University of Denver, Denver, CO. Accessed DD Month YYYY &amp;amp;lt;https://pardee.du.edu/wiki/Socio-Political&amp;amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span&amp;gt;A substantial portion of the socio-political model of IFs is scattered throughout the other models. There are &amp;quot;policy handles&amp;quot; or intervention points throughout those models. For instance, in the population model, multipliers on the total fertility rate can reflect policy decisions (although they can also reflect the model user&#039;s judgment concerning social changes in the country or region, independent of policy). Patterns of regulation, subsidy, tax incidence, and provision of state services are so diffuse and complicated that we resort to looking at their aggregate consequences through various &amp;quot;policy handles&amp;quot; rather than trying to represent them explicitly.&amp;lt;/span&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information on this module, please use the links below or read more at [[Socio-Political#Socio-political_Equations|Socio-Political Equations Overview]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Structure and Agent System: Socio-Political&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;tableGrid&amp;quot; style=&amp;quot;width:100%;&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;5&amp;quot; border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;width: 50%&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;System/Subsystem&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Socio-political&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Organizing Structure&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Social fabric&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Stocks&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Levels of human well-being and institutional development (human and social capital)&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Cultural structures&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; valign=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Flows&#039;&#039;&#039;&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Social expenditures&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Value change&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; | &amp;lt;div&amp;gt;&#039;&#039;&#039;Key Aggregate&amp;amp;nbsp;&#039;&#039;&#039; &#039;&#039;&#039;Relationships&amp;amp;nbsp;&#039;&#039;&#039;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;(illustrative, not comprehensive)&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Growth in literacy and human development;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;&amp;amp;nbsp;&amp;lt;/div&amp;gt;&amp;lt;div&amp;gt;Democratic development, state failure&amp;lt;/div&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;text-align: left&amp;quot; valign=&amp;quot;center&amp;quot; | &amp;lt;div style=&amp;quot;text-align: left&amp;quot;&amp;gt;&#039;&#039;&#039;Key Agent-Class Behavior&amp;amp;nbsp;&#039;&#039;&#039; &#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;lt;/div&amp;gt;&amp;lt;div style=&amp;quot;text-align: left&amp;quot;&amp;gt;(illustrative, not comprehensive)&amp;lt;/div&amp;gt;&lt;br /&gt;
| style=&amp;quot;text-align: left; padding-left: 10px&amp;quot; align=&amp;quot;center&amp;quot; | &amp;lt;div&amp;gt;Government efforts to develop human capital through spending on health, education, R&amp;amp;D&amp;lt;/div&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Unlike the use of cohort-component structures in demographics and of markets and social accounting matrices for economics, there is no standard organizing structure that is widely used for representing socio-political systems. In the context of the TERRA project, IFs developed a multi-component approach to structure that might be called the &amp;quot;social fabric&amp;quot; (a la Robert Pestel).&lt;br /&gt;
&lt;br /&gt;
Although representation of agent-class behavior would be of special interest in a socio-political module, most relationships in IFs remain at the level of aggregate specifications.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Dominant Relations: Socio-political&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Domestic Socio-Political Change: Dominant Relations&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Social and political change occurs on three dimensions (social characteristics or individual life conditions, values, socio-political institutions and process). Although GDP per capita is strongly correlated with all dimensions of change, it might be more appropriate to conceptualize a syndrome or complex of developmental change than to portray an economically-driven process.&amp;lt;ref&amp;gt;here is the first reference&amp;lt;/ref&amp;gt;&lt;br /&gt;
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For causal diagram see [[Socio-Political#Socio-political_Flow_Charts|Socio-Political Flow Charts Overview]].&lt;br /&gt;
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For equations see, for example, [[Socio-Political#Socio-political_Equations|Socio-Political Equations Overview]].&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Key dynamics are directly linked to the dominant relations&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
*The model computes some key social characteristics/life conditions, including life expectancy and fertility rates in the demographic model, but the user can affect them via multipliers (mortm, tfrm). Literacy rate is an endogenous function of education spending, which the user can influence (via gdsm).&lt;br /&gt;
*The model computes value or cultural change on three dimensions: traditional versus secular-rational, survival versus self-expression, and modernism versus postmodernism, which the user can affect via additive factors (tradsrateadd, survseadd, matpostradd).&lt;br /&gt;
*Freedom, democracy (the POLITY measure), autocracy, economic freedom, and the status of women are all computed endogenously but can all be shifted by the user via multipliers (freedomm, democm, autocm, econfreem, gemm)&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Domestic Socio-Political Change: Selected Added Value&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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The larger socio-political model provides representation and control over government spending on education, health, the military, R&amp;amp;D, foreign aid, and a residual category. Military spending is linked to interstate politics, both as a driver of threat and as a result of action-and-reaction based arms spending. The sub-model provides aggregated indicators of the physical quality of life and the human development index.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Socio-political Flow Charts&amp;lt;/span&amp;gt; =&lt;br /&gt;
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=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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[[File:SP1.gif|frame|center|Visual representation of  the social and political module]]&lt;br /&gt;
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The social and political module represents a complex of interacting structures and processes. These include:&lt;br /&gt;
&lt;br /&gt;
*The various social characteristics or life conditions of individuals&lt;br /&gt;
*Human values, beliefs, and orientations’&lt;br /&gt;
*Social and political structures, informal as well as formal&lt;br /&gt;
*Social and political processes, both domestic and international&lt;br /&gt;
&lt;br /&gt;
Cultural foundations frame all of these components. And all of the components interact closely with human demographic and economic systems.&lt;br /&gt;
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The socio-political elements of IFs are among the most dynamically evolving aspects of the overall modeling system.&amp;amp;nbsp;Much, but not everything in the above figure has been fully represented yet within IFs; the figure indicates direction of development and shows implemented elements in italics.&lt;br /&gt;
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For more, please read the links below.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Characteristics: Life Conditions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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Individuals are the foundations of society. Many social indicators are actually aggregated indicators of their condition. The Human Development Index (HDI) is a widely-used summary measure of that life condition, based on life expectancy, educational attainment, and GDP per capita.&lt;br /&gt;
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[[File:Sp2.gif|frame|center|Visual representation of life conditions]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Physical Quality of Life (PQLI)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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The Overseas Development Council (then under the leadership of Jim Grant) developed and publicized a measure of (physical) quality of life (the PQLI) many years ago. It combines literarcy rate, infant mortality rate, and life expectancy, using scales from the lowest to the highest values in the global system. It weights the three scales equally. The literacy rate is, in turn, a function of the per capita spending levels on education, estimated cross-sectionally. In many respects the PQLI was a predecessor of the [[Socio-Political#Social_Characteristics:_Life_Conditions|human development index (HDI)]].[[File:Sp3.gif|frame|center|Visual representation of Physical Quality of Life (PQLI)]]&lt;br /&gt;
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Based on country/region-specific Physical Quality of Life, it is possible to compute world quality of life (WPQLI) and the North-South gap in quality of life (NSPQLI). Given country-specific literacy rates, it is also possible to compute world literacy (WLIT).&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Income Distribution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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Income distribution is represented by the share of national income earned by the poorest 20 percent of the population. That share is obtained from data whenever possible, but is estimated from a cross-sectional relationship when necessary and changed over time by that relationship (the values tend, however, to be very stable both in the real world and in the model). Because initial conditions of variables affected by income share, such as fertility and mortality rates, already reflect existing income distributions, it is only the changes in that distribution relative to the expected value that the model uses in such relationships. A parameter (incshrm) is available to change income share and thus affect those variables influenced by it.&lt;br /&gt;
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[[File:Sp4.gif|frame|center|Visual representation of income distribution]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Characteristics: Networking&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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Being electronically networked is an increasingly important aspect of human life condition. The number of networked persons (NUMNWP) is a function primarily of the growth rate in that number (NUMNWPGR). It is ultimately constrained, however, by the size of the population and by the number of connections and organizational memberships that people can have (numnwplim). The growth in networked person number slows as it approaches the ultimate limit. The model user can affect the growth pattern via a multiplier on the growth rate (numnwpgrm).&lt;br /&gt;
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This approach was added to IFs during the TERRA project and draws on the thinking of Tom Tesch and Pol Descamps.&lt;br /&gt;
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[[File:NetworkedPersons2.gif|frame|center|Visual representation of networking.]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Values and Cultural Evolution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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IFs computes change in three cultural dimensions identified by the World Values Survey (Inglehart 1997). Those are dimensions of materialism/post-materialism, survival/self-expression, and traditional/secular-rational values.&lt;br /&gt;
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Inglehart has identified large cultural regions that have substantially different patterns on these value dimensions and IFs represents those regions, using them to compute shifts in value patterns specific to them.&lt;br /&gt;
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Levels on the three cultural dimensions are predicted not only for the country/regional populations as a whole, but in each of 6 age cohorts. Not shown in the flow chart is the option, controlled by the parameter &amp;quot;wvsagesw,&amp;quot; of computing country/region change over time in the three dimensions by functions for each cohort (value of wvsagesw = 1) or by computing change only in the first cohort and then advancting that through time (value of wvsagesw = 2).&lt;br /&gt;
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The model uses country-specific data from the World Values Survey project to compute a variety of parameters in the first year by cultural region (English-speaking, Orthodox, Islamic, etc.). The key parameters for the model user are the three country/region-specific additive factors on each value/cultural dimension (matpostradd, etc.).&lt;br /&gt;
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Finally, the model contains data on the size (percentage of population) of the two largest ethnic/cultural groupings. At this point these parameters have no forward linkages to other variables in the model.&lt;br /&gt;
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[[File:Sp6.gif|frame|center|Visual representation of social values and cultural evolution]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Organization and Change&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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The sociopolitical module computes change in freedom (political and economic) and the status of women. For freedom it uses both the measure of the Freedom House and the combined measure for democracy (building on democracy and autocracy) of the POLITY project. It also computes a measure of economic freedom and of gender equality.[[File:Sp7.gif|frame|center|Visual representation of change in freedom and the status of women]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Organization: Stability/State Failure&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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The State Failure project has analyzed the propensity for different types of state failures within countries, including those associated with revolution, ethnic conflict, genocide-politicide, and abrupt regime change (using categories and data pioneered by Ted Robert Gurr. Upon the advice of Gurr, IFs groups the first three as internal war and the last as political instability.&lt;br /&gt;
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IFs uses the same primary variables (infant mortality, democracy, and trade openness) as the State Failure project to drive forecasts of the probability of individual events of state failure, of ongoing episodes of it, and of the magnitude of episodes. In addition, it allows the use in the formulation of GDP per capita and years of education. Many other linkages have been and can be explored, including cultural regions.&lt;br /&gt;
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[[File:Sp8.gif|frame|center|Visual representation of stability/state failure]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Government Spending&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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The economic submodel provides total government spending. Government spending by category begins as a simple product of total government consumption and fractional shares by spending category.&lt;br /&gt;
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Spending by type (military, health, education, research and development, other, and foreign aid) is largely specified exogenously, building on the initial conditions for each country/region. In addition, an action-reaction (arms-race) dynamic can be established in military spending if the action-reaction switch is turned on. After adjustments to foreign aid and military spending, spending in all categories is re-normalized to equal total governmental spending.&lt;br /&gt;
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Educational spending is further broken out of total educational spending. The user can shift the spending across three educational levels (primary, secondary, and tertiary) through the use of an educational multiplier.[[File:Gs1.gif|frame|center|Visual representation of government spending]]&lt;br /&gt;
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See also the specifications of [[Economics#Firm_Accounts|detailed final demand]]&amp;amp;nbsp;and of [[Economics#International_Finance|international finance]].&lt;br /&gt;
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== Drug Demand ==&lt;br /&gt;
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The UNODC drug report finds that illicit drug use is concentrated amongst the youth, notably young males living in an urban environment. The UNODC report also finds a pronounced gender gap in relation to illicit drug consumption. Gender equality and empowerment seems to act as a key driver when it comes to determining drug consumption. For example, in the United States, characterized by a small gender gap, female drug use is about two thirds that of males, whereas in some other countries, including India and Indonesia, female drug use is as low as one tenth that of males, though there is a risk that female drug use may be underreported.&lt;br /&gt;
&lt;br /&gt;
In addition, we have also found poverty, inequality and government health expenditure as drivers of specific types of drug prevalence. Policy options with respect to drug prevalence are represented in the model using multipliers which can be used to simulate an increase or decrease in drug prevalence. The table below lists the driving variables for each of the drug types.&lt;br /&gt;
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{| border=&amp;quot;1&amp;quot; align=&amp;quot;center&amp;quot; cellspacing=&amp;quot;1&amp;quot; cellpadding=&amp;quot;1&amp;quot; style=&amp;quot;width: 444px;&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| &#039;&#039;&#039;Drug Type&#039;&#039;&#039;&lt;br /&gt;
| &#039;&#039;&#039;Driving Variables&#039;&#039;&#039;&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | &#039;&#039;&#039;Driving Variables in IFS&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
| &lt;br /&gt;
Amphetamines&lt;br /&gt;
&lt;br /&gt;
| Youth Bulge, Gender Inequalities&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | YTHBULGE, GEM&lt;br /&gt;
|-&lt;br /&gt;
| Cocaine&lt;br /&gt;
| Consumption levels, Gender Empowerment Measure and Income Inequality&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | (C/POP), GEM, GINIDOM&lt;br /&gt;
|-&lt;br /&gt;
| Opiates&lt;br /&gt;
| Poverty, Youth Bulge and Urban Population&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | INCOMELT310LN, YTHBULGE, POPURBAN&lt;br /&gt;
|-&lt;br /&gt;
| Prescription Opiods&lt;br /&gt;
| Health Expenditure&lt;br /&gt;
| style=&amp;quot;width: 166px;&amp;quot; | HLEXPEND&lt;br /&gt;
|}&lt;br /&gt;
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The figure below shows a diagrammatic representation of the drug demand model in IFs,&lt;br /&gt;
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[[File:DrugModelFinalKBN.jpg|frame|center|500x600px|Drug Demand in IFs]]&lt;br /&gt;
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== Violence ==&lt;br /&gt;
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Mortality from conflict is driven using the probability of internal war (SFINTLWARALL). Mortality from homicides and violence against women and children are driven using the youthbulge (YTHBULGE) and the GINI co-efficient (GINIDOM). &amp;amp;nbsp;&amp;amp;nbsp;Police violence deaths are driven by homicides(SVDTHSOTHERINTERPERSON) and the Corruption index in IFs (GOVCORRUPT). Finally, mortality from self-harm is calculated using mental health deaths (which are calculated in the health model) and deaths of women and children (SVDTHSWOMENANDCHILDREN). There are user controllable parameters available in the model to increase the death rates (&#039;&#039;&#039;&#039;&#039;svmulm&#039;&#039;&#039;&#039;&#039;) and the total number of deaths (&#039;&#039;&#039;&#039;&#039;svdthsadd&#039;&#039;&#039;&#039;&#039;) for each of the categories of violence. Finally, the homicide index(HOMICIDEINDEX) is calculated using each of the death rates mentioned above excluding self-harm. The homicide index itself is used in computing a conflict component of the security index in IFs (GOVINDSECUR).&lt;br /&gt;
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The figure below shows a visual representation of the violence model in IFs.&lt;br /&gt;
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[[File:ViolenceModelFinal.jpg|frame|center|500x600px|Violence model in IFs]]&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Socio-political Equations&amp;lt;/span&amp;gt; =&lt;br /&gt;
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=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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A substantial portion of the policy model of IFs is scattered throughout the other models. There are &amp;quot;policy handles&amp;quot; or intervention points throughout those models. For instance, in the population model, multipliers on the total fertility rate can reflect policy decisions (although they can also reflect the model user&#039;s judgment concerning social changes in the country or region, independent of policy). Similarly, in the energy model, the multiplier on energy demand can represent conservation policy. Similarly, the ultimate energy resource base and the rate of resource discovery remain uncertain in part because they are subject to a wide range of government interventions - multipliers can introduce assumptions about such interventions. In the economic module, the level of trade protection is very clearly a policy parameter as is the multiplier on the tax rate. Patterns of regulation, subsidy, tax incidence, and provision of state services are so diffuse and complicated that we resort to looking at their aggregate consequences through various &amp;quot;policy handles&amp;quot; rather than trying to represent them explicitly.&lt;br /&gt;
&lt;br /&gt;
IFs contains other categories of sociol-political activity, however, that it represents in more integrated fashion in the sociopolitical module as a four-dimensional social fabric: social characteristics/life condition, values, social structures (formal and informal), and social processes.&lt;br /&gt;
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For help understanding the equations see [[Understand_IFs#Equation_Notation|Notation]].&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Life Conditions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Literacy changes from the initial level for the region because of a multiplier (LITM).&lt;br /&gt;
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:&amp;lt;math&amp;gt;LIT_{\gamma}=\mathbf{LIT}^{t=1}_{\gamma}*LITM_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
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The function upon which the literacy multiplier is based represents the cross sectional relationship globally between educational expenditures per capita (EDEX) from the government submodel and literacy rate (LIT). Rather than imposing the typical literacy rate on a region (and thereby being inconsistent with initial empirical values), the literacy multiplier is the ratio of typical literacy at current expenditure levels to the normal literacy level at initial expenditure levels. This formulation predates the development of an educational module that calculates the numbers of those with a primary education (one common definition of literacy). As that module is refined, we will likely derive literacy dynamics from it.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LITM=\frac{AnalFunc(EDEX)}{AnalFunc(\mathbf{EDEX}^{t=1})}&amp;lt;/math&amp;gt;&lt;br /&gt;
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Educational expenditures (and thus implicitly literacy and labor efficiency) are tied back to the economic model via the economic production function.&lt;br /&gt;
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Given life expectancy, literacy, and infant mortality levels from the mortality distribution, it is possible to compute the Physical Quality of Life Index (PQLI) that the Overseas Development Council developed (ODC, 1977: 147#154). This measure averages the three quality of life indicators, first normalizing each indicator so that it ranges from zero to 100. The normaliza&amp;quot;tion is not needed for literacy; for life expectancy it converts the range of approximately 28 (LIFEXPMIN) to 80 (LIFEXPMAX) years into 0 to 100; for infant mortality it converts the range of approximately 229 per thousand (INFMORMAX) to 9 per thousand (INFMORMIN) into 0 to 100.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PQLI_{\gamma}=\frac{LIT_{\gamma}+\frac{LIFEXP_{\gamma}-\mathbf{lifexpmin}}{LifExpMax-\mathbf{lifexpmin}}*100+\frac{\mathbf{infmormax}-MORDST_{\gamma,c-1}}{\mathbf{infmormax}-InfMorMin}*100}{300}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifExpMax=Max(LIFEXP^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorMin=Min(INFMOR^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For most users, the United Nations Development Program’s human development index (HDI) has replaced the PQLI as an integrated measure of life condition. It is a simple average of three sub-indices for life expectancy, education, and GDP per capita (using purchasing power parity). The life expectancy sub-index is the same as was used for the PQLI. The literacy sub-index is again the literacy rate. The GDP per capita index is a logged form that runs from a minimum of 100 to a maximum of $40,000 per capita. The measure in IFs differs slightly from the HDI version, because it does not put educational enrollment rates into a broader educational index with literacy; that will be changed as the educational model of IFs is better tested.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDI_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{LIFEXPMAX-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(40000)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although the HDI is a wonderful measure for looking at past and current life conditions, it has some limitations when looking at the longer-term future. Specifically, the fixed upper limits for life expectancy and GDP per capita are likely to be exceeded by many countries before the end of the 21st century. IFs has therefore introduced a floating version of the HDI, in which the maximums for those two index components are calculated from the maximum performance of any state in the system in each forecast year.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDIFLOAT_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{HDILIFEMAXFLOAT-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(GDPPCPMAX)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The floating measure, in turn, has some limitations because it introduces relative attainment into the equation rather than absolute attainment. IFs therefore uses still a third version of the HDI, one that allows the users to specify probable upper limits for life expectancy and GDPPC in the twenty-first century. Those enter into a fixed calculation of which the normal HDI could be considered a special case.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDI21stFIX_{\gamma}=\frac{LifeExpInd_{\gamma}+LitInd+GDPInd}{3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;HDILIFEMAX21=\mathbf{hdilifemaxf}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LifeExpInd=\frac{LIFEXP_{\gamma}-LIFEXPMIN}{HDILIFEMAX21-LIFEXPMIN}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LitInd=LIT_{\gamma}/100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Log(GDPPCP21)=Log(\mathbf{hdigdppcmax}*1000)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDPInd=\frac{Log(GDPPCP_{\gamma}*1000)-Log(100)}{Log(GDPPCP21)-Log(100)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
It is useful to compute several additional global indicators, a world physical quality of life index (WPQLI), a world life expectancy (WLIFE), a world literacy rate (WLIT), and a North#South gap index or ratio of quality of life in the &amp;quot;developed -D&amp;quot; regions to the &amp;quot;less developed-L&amp;quot; regions (NSPQLI).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WPQLI=\frac{\sum^RPQLI_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WLIFE=\frac{\sum^RLIFEXP_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WLIT=\frac{\sum^RLIT_{\gamma}*POP_{\gamma}}{WPOP}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NSPQLI=\frac{\frac{\sum^DPQLI_{\gamma}*POP_{\gamma}}{\sum^DPOP_{\gamma}}}{\frac{\sum^LPQLI_{\gamma}*POP_{\gamma}}{\sum^LPOP_{\gamma}}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Income Distribution&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The income share of the poorest 20 percent of the population (INCSHR) depends on the GDP per capita at PPP (GDPPCP) and on an exogenous income share multiplier (incshrm).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCSHR^t_{\gamma}=INCSHR^t_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{incshrm_{\gamma}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The introduction of different household types into the social accounting matrix structure of IFs made possible the computation of a more sophisticated measure of income distribution tied directly to the model’s computation of household income (HHINC) and household size (HHPOP) by type. A domestic Gini value (GINIDOM) is calculated from a function that uses the normal Lorenz curve foundation for Gini indices. Because that function can calculate values that are quite different from the empirical initial values, a ratio of the empirical value to the initial computed value (GINIDOMRI) is used for scaling purposes. The model’s formulation of the relative household income levels of different household types, and therefore the calculation of a domestic GINI based on those income levels, are in early versions and are still rather crude.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINIDOM^t_{\gamma}=GINIFUN(HHINC_{R,S},HHPOP_{R,S})*GINIDomRI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINIDomRI^{t-1}_{\gamma}=\frac{GINIDOM^{t-1}_{\gamma}}{GINIFUN(HHINC^{{\gamma}-1}_{R,S},HHPOP^{t-1}_{R,S})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
One value of a domestic Gini calculation is that it, in turn, makes possible the calculation of the percentage of population living on less than one dollar per day (INCOMELT1) or two dollars per day (INCOMELT2). Functions were estimated linking GDP per capita at purchasing power (GDPPCP) and the Gini index to those percentages. Again, IFs uses initial conditions for scaling purposes.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT1^t_{\gamma}=AnalFunc(GDPPCP_{\gamma},GINIDOM_{\gamma})*INCOMELT1RI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT1RI^{t-1}_{\gamma}=\frac{\mathbf{INCOMELT1}^{t-1}{\gamma}}{AnalFunc(GDPPCP^{\gamma-1}_{\gamma},GINIDOM^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT2^t_{\gamma}=AnalFunc(GDPPCP_{\gamma},GINIDOM_{\gamma})*INCOMELT2RI^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;INCOMELT2RI^{t-1}_{\gamma}=\frac{INCOMELT2^{t-1}_{\gamma}}{AnalFunc(GDPPCP^{\gamma-1}_{\gamma},GINIDOM^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
IFs also calculates a global Gini index across all countries/regions in the model, again using the standard Lorenz curve approach to areas of inequality and equality. It does not yet take into account intra-regional income differentials, but the foundation is now in place to do so.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GINI^t_{\gamma}=GINIFUN(GDP_R,POP_R)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user interface of IFs now uses the same Lorenz-curve approach to allow the user to calculate a specialized-display GINI for any variable that can be represented across all countries/regions of the model.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Social Equations Networking&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The focal point of this portion of the model is on the computation of the total number of networked persons (NUMNWP). The rate of growth in that number (NUMNWPGR) is subject to several forces. The initial value of that rate is set in the data preprocessor of the model from empirical data. When no data are available for a country or region, the rate is set at a level determined via a cross-sectional relationship between GDP per capita (PPP) and portion of population networked.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NUMNWP_{\gamma}=NUMNWP^{t-1}_{\gamma}*(1+NumNwGR^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;NumNwGR^t_{\gamma}=NUMNWPGR^{t-1}_{\gamma}*(\frac{nwplm-NUMNWP^{t-1}_{\gamma}}{nwplm-NUMNWP^{t-1}_{\gamma}})^2*numnwpgrm&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;nwplm=numnwplim*POP_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Over time the growth rate of networked persons is subject to a saturating function, as the actual number of networked persons approaches a limit. The limit is set by an exogenous multiplier (numnwplim) on total population; networked persons can exceed total population because of multiple affiliations of individuals (households, NGOs, companies). The user of the model can accelerate or de-accelerate the process of networking via a multiplier on the growth rate (numnwpgrm).&lt;br /&gt;
&lt;br /&gt;
Although of interest in its own right, the number of networked persons is also carried forward in the model to the production function of the economy.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Values&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs computes change in three cultural dimensions identified by the World Values Survey [[Introduction_to_IFs#IFs_Bibliography|(Inglehart 1997)]]. Those are dimensions of materialism/post-materialism (MATPOSTR), survival/self-expression (SURVSE), and traditional/secular-rational values (TRADSRAT). On each dimension the process for calculation is somewhat more complicated than for freedom or gender empowerment, however, because the dynamics for change in the cultural dimensions involves the aging of population cohorts. IFs uses the six population cohorts of the World Values Survey (1= 18-24; 2=25-34; 3=35-44; 4=45-54; 5=55-64; 6=65+). It calculates change in the value orientation of the youngest cohort (c=1) from change in GDP per capita at PPP (GDPPCP), but then maintains that value orientation for the cohort and all others as they age. Analysis of different functional forms led to use of an exponential form with GDP per capita for materialism/postmaterialism and to use of logarithmic forms for the two other cultural dimensions (both of which can take on negative values).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MATPOSTR_{\gamma,c-1}=\mathbf{MATPOSTR}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShMP}^t_{\gamma-cultural}+\mathbf{matpostradd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\mathbf{CultShMP}^t_{\gamma-cultural}=F(\mathbf{MATPOSTR}^{t-1}_{\gamma,c-1},AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SURVSE_{\gamma,c-1}=\mathbf{SURVSE}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShSE}^t_{\gamma-cultural}+\mathbf{survseadd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CultShSE^t_{\gamma-cultural}=F(\mathbf{SURVSE}^{t-1}_{\gamma,c-1}, AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TRADSRAT_{\gamma,c-1}=\mathbf{TRADSRAT}^{t-1}_{\gamma,c-1}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}+\mathbf{CultShTS}^t_{\gamma-cultural}+\mathbf{tradsratadd}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\mathbf{CultShTS}^t_{\gamma-cultural}=F(\mathbf{TRADSRAT}^{t-1}_{\gamma,c-1},AnalFunc(GDPPCP^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user can influence values on each of the cultural dimensions via two parameters. The first is a cultural shift factor (e.g. CultSHMP) that affects all of the IFs countries/regions in a given cultural region as defined by the World Value Survey. Those factors have initial values assigned to them from empirical analysis of how the regions differ on the cultural dimensions (determined by the pre-processor of raw country data in IFs), but the user can change those further, as desired. The second parameter is an additive factor specific to individual IFs countries/regions (e.g. matpostradd). The default values for the additive factors are zero.&lt;br /&gt;
&lt;br /&gt;
Some users of IFs may not wish to assume that aging cohorts carry their value orientations forward in time, but rather want to compute the cultural orientation of cohorts directly from cross-sectional relationships. Those relationships have been calculated for each cohort to make such an approach possible. The parameter (wvsagesw) controls the dynamics associated with the value orientation of cohorts in the model. The standard value for it is 2, which results in the &amp;quot;aging&amp;quot; of value orientations. Any other value for wvsagesw (the WVS aging switch) will result in use of the cohort-specific functions with GDP per capita.&lt;br /&gt;
&lt;br /&gt;
Regardless of which approach to value-change dynamics is used, IFs calculates the value orientation for a total region/country as a population cohort-weighted average.&lt;br /&gt;
&lt;br /&gt;
IFs uses an approach that is similar to the one for literacy in order to estimate the future of another measure created by the United Nations Development Program, one called the Gender Equity Measure (GEM). The closer the values of that measure approach &amp;quot;1&amp;quot;, the closer women are to men in political and social power.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GEM_{\gamma}=GEM^{t-1}_{\gamma}*\frac{AnalFunc(GDPPC_{\gamma})}{AnalFunc(GDPPC^{t-1}_{\gamma})}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Structures or Institutions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs endogenizes level of freedom (FREEDOM), based on the Freedom House measures, by linking change from initial conditions to GDP per capita at purchasing power parity in an analytic function. For discussion of the relationship between GDP and democracy, see [[Introduction_to_IFs#IFs_Bibliography|Londregran and Poole (1996)]]&amp;amp;nbsp;and [[Introduction_to_IFs#IFs_Bibliography|Przeworski and Limongi (1997)]]. The latter view it as a probabilistic relationship in which there are a variety of reasons (often external pressure) at all levels of economic development for the conversion of dictatorships to democracies and in which the conversion of democracies to dictatorships occurs commonly at low but not high levels of development. That pattern creates a positive correlation between economic development and democratic government. A multiplier in freedom level (freedomm) increases or decreases the level of freedom.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;FREEDOM_{\gamma}=FREEDOM^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(\mathbf{GDPPCP}^{t-1}_{\gamma})}*\mathbf{freedomm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The Economic Freedom Institute (with leadership from the Fraser Institute; see Gwartney and Lawson with Samida, 2000) have also introduced a measure of economic freedom. IFs represents that in similar fashion.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;ECONFREE_{\gamma}=ECONFREE^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{econfreem}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The POLITY project provides an alternative to the freedom house measure of freedom or democracy level. In fact, it provides multiple variables related to political system. IFs EARLIER included formations of two of those, democracy (DEMOC) and autocracy (AUTOC). They worked in completely analogous fashion.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOC_{\gamma}=DEMOC^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{democm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AUTOC_{\gamma}=AUTOC^{t-1}_{\gamma}*\frac{AnalFunc(GDPPCP_{\gamma})}{AnalFunc(GDPPCP^{t-1}_{\gamma})}*\mathbf{autocm}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
More recently, IFs has (1) combined the two Polity project measures into a single one as is often done with the Polity measures, setting POLITYDEMOC equal to democracy – autocracy + 10, a measure that runs from 0 to 20; (2) introduced a more complicated, multi-level forecast for the new measure.&lt;br /&gt;
&lt;br /&gt;
Specifically, the project identified three levels of analysis for factors that affect democratic change: domestic, regional, and systemic. At each of the three levels there are multiple factors that can affect democracy within states. At the domestic level we can identify two categories of factors in particular:&lt;br /&gt;
&lt;br /&gt;
*GDP per capita. This variable correlates highly with almost all measures of social condition; GDP provides the resources for democratization and other social change.&lt;br /&gt;
*values/culture. Values clearly do differ across countries and regions of the world and almost certainly affect propensity to democratize.&lt;br /&gt;
&lt;br /&gt;
At the regional level (or, more accurately, the &amp;quot;swing-states&amp;quot; level) we can also identify three prospective drivers:&lt;br /&gt;
&lt;br /&gt;
*world average effects. It is possible that the world average exerts a pull-effect on states around the world (for instance, increasingly globalization could lead to homogenization of a wide variety of social structures around the world).&lt;br /&gt;
*swing states effects. Some states within regions quite probably affect/lead others (obviously the former Soviet Union was a prime example of such a swing state within its sphere of influence, but there is reason to believe in lesser and less coercive effects elsewhere).&lt;br /&gt;
*regional average. States within a region possibly affect each other more generally, such that &amp;quot;swing states&amp;quot; are moved by regional patterns and not simply movers of them.&lt;br /&gt;
&lt;br /&gt;
At the system level we identify three:&lt;br /&gt;
&lt;br /&gt;
*systemic leadership impetus. It is often suggested that the United States and other developed countries can affect democratization in less developed countries, either positively or negatively&lt;br /&gt;
*snowballing of democracy (Huntington 1991). The wave character of democratization suggests that there may be an internal dynamic, a self-reinforcing positive feedback loop, of the process globally, partially independent of other forces that act on the process. Such a conclusion is consistent with the fact that idea spread and global regime development influence many types of social change (Hughes 2001)&lt;br /&gt;
*miscellaneous other forces. Historic analysis would identify world war, economic depression, and other factors to explain the global pattern of democratization, especially the surge or retreat of waves.&lt;br /&gt;
&lt;br /&gt;
A project document prepared for the CIA’s Strategic Assessment Group (SAG) analyzed historic data and, in cooperation with David Epstein and Larry Diamond, fit an approach to it that cut across these three levels (see Hughes 2002: 59-74 for elaboration and documentation of the empirical work). The empirical work is not documented again here. The work did not find significant and consistent regional level effects, however, and the regional variables are therefore normally turned off.&lt;br /&gt;
&lt;br /&gt;
The resulting formulation uses the domestic level as an initial base calculation because it is the empirically strongest piece, and later adds (optionally) the regional level effects and the systemic effects. The base calculation is further tied to the actual empirical levels in the initial year of the run, with the impact of the driving variables being felt only in change of those levels. An ‘expected&amp;quot; democracy level (DEMOCEXP) is computed using an analytic function that uses GDP per capita at purchasing power parity (GDPPCP) and the World Value Survey’s survival and self-expression dimension (SURVSE). These were found quite powerful in their level of correlation with democracy and the WVS dimension, interestingly, carries a cultural component into the formulation. The user can further modify this basic formulation with an exogenous multiplier (democm).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCPOLITYBase^t_{\gamma}=\mathbf{DEMOCPOLITY}^{t-1}_{\gamma}*\frac{DEMOCEXP^t_{\gamma}}{DEMOCEXP^{t-1}_{\gamma}}*\mathbf{democm}^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCEXP^t_{\gamma}=AnalFunc(GDPPCP^t_{\gamma},SURVSE^t_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
It is also useful to have a separate calculation of the empirically strongest piece of the formulation, namely the domestic effects, but without any adjustment to the initial empirical values. The expected democracy variable (DEMOCEXP) carries that. It can be compared with the fully computed values to see the degree to which there may be tension in countries between democracy levels that GDP per capita and values would predict, on the one hand, and those that are in the initial data. The greatest tension levels tend to be in the Middle Eastern countries, where decmocracy is considerably below &amp;quot;expected&amp;quot; levels.&lt;br /&gt;
&lt;br /&gt;
The initial conditions of democracy in countries carry a considerable amount of idiosyncratic, country-specific influence, much of which can be expected to erode over time. Therefore a revised base level is computed that converges over time from the base component with the empirical initial condition built in to the value expected purely on the base of the analytic formulation. The user can control the rate of convergence with a parameter that specifies the years over which convergence occurs (polconv) and, in fact, basically shut off convergence by sitting the years very high.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sweffects}=1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:then &amp;lt;math&amp;gt;SwingEffects^t_{\gamma}=timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-1}*(WDemoc^{t-1}-DEMOCPOLITY^{t-1}_{\gamma-Swingee})+timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-2}*(DEMOCPOLITY^{t-1}_{\gamma-Swinger}-DEMOCPOLITY^{t-1}_{\gamma-Swingee})+timeadj*\mathbf{swingstsdem}_{\gamma-Swinger,p-3}*(RgDemoc-DEMOCPOLITY^{t-1}_{\gamma-Swingee})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;timeadj=.2&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;WDemoc^{t-1}=\frac{\sum^RDEMOCPOLITY^{t-1}_{\gamma}}{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
else&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SwingEffects^t_{\gamma}=0&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
On top of the country-specific calculation sits the (optional) regional or swing state effect calculation (SwingEffects), turned on by setting the swing states parameter (swseffects) to 1. The swing effects term has three components. The first is a world effect, whereby the democracy level in any given state (the &amp;quot;swingee&amp;quot;) is affected by the world average level, with a parameter of impact (swingstdem) and a time adjustment (timeadj) . The second is a regionally powerful state factor, the regional &amp;quot;swinger&amp;quot; effect, with similar parameters. The third is a swing effect based on the average level of democracy in the region (RgDemoc).&lt;br /&gt;
&lt;br /&gt;
David Epstein of Columbia University did extensive estimation of the parameters (the adjustment parameter on each term is 0.2). Unfortunately, the levels of significance were inconsistent across swing states and regions. Moreover, the term with the largest impact is the global term, already represented somewhat redundantly in the democracy wave effects. Hence, these swing effects are normally turned off and are available for optional use.&lt;br /&gt;
&lt;br /&gt;
Also on top of the country-level effects sits the effect of global waves (DemGlobalEffects). Those depend on the amplitude of waves (DEMOCWAVE) relative to their initial condition and on a multiplier (EffectMul) that translates the amplitude into effects on states in the system. Because democracy and democratic wave literature often suggests that the countries in the middle of the democracy range are most susceptible to movements in the level of democracy, the analytic function enhances the affect in the middle range and dampens it at the high and low ends.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemGlobalEffect^t_{\gamma}=(DEMOCWAVE^t-\mathbf{democwave^{t-1}})*EffectMul_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MDemocPolity^{t-1}_{\gamma}=MovingAverage(DEMOCPOLITY^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;EffectMul_{\gamma}=AnalFunc(MDemocPolity^{t-1}_{\gamma})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The democratic wave amplitude is a level that shifts over time (DemocWaveShift) with a normal maximum amplitude (democwvmax) and wave length (democwvlen), both specified exogenously, with the wave shift controlled by a endogenous parameter of wave direction that shifts with the wave length (DEMOCWVDIR). The normal wave amplitude can be affected also by impetus towards or away from democracy by a systemic leader (DemocImpLead), assumed to be the exogenously specified impetus from the United States (democimpus) compared to the normal impetus level from the U.S. (democimpusn) and the net impetus from other countries/forces (democimpoth).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCWAVE^t=DEMOCWAVE^{t-1}+DemocImpLead+\mathbf{democimpoth}+DemocWaveShift&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocImpLead=\frac{(\mathbf{democimpus-democimpusn)*eldemocimp}}{\mathbf{democwvlen}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocWaveShift=\mathbf{\frac{democwvmax}{demowvlen}}*DEMOCWVDIR&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Given both the global and regional/swing-state effects, it is possible to add these to the basic country calculation for the final computation of the level of democracy using the Polity scale. The size of the swing effects is constrained by an external parameter (swseffmax).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DEMOCPOLITY^t_{\gamma}=DEMOCPOLITYBaseRev^t_{\gamma}+SwingEffect^t_{\gamma}+DemGlobalEffects^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Socio-political Equations: Stability/State Failure&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The State Failure project has analyzed the propensity for different types of state failures within countries, including those associated with revolution, ethnic conflict, genocide-politicide, and abrupt regime change (using categories and data pioneered by Ted Robert Gurr. Upon the advice of Gurr, IFs groups the first three as internal war and the last as political instability.&lt;br /&gt;
&lt;br /&gt;
The extensive database of the project includes many measures of failure. IFs has variables representing three measures in each of the two categories, corresponding to the probability of the first year of a failure event (SFINSTABY1 and SFINTLWARY1), the probability of the first year or a continuing year (SFINSTABALL and SFINTLWARALL), and the magnitude of a first year or continuing event (SFINSTABMAG and SFINTLWARMAG).&lt;br /&gt;
&lt;br /&gt;
Using data from the State Failure project, formulations were estimated for each variable using up to five independent variables that exist in the IFs model: democracy as measured on the Polity scale (DEMOCPOLITY), infant mortality (INFMOR) relative to the global average (WINFMOR), trade openness as indicated by exports (X) plus imports (M) as a percentage of GDP, GDP per capita at purchasing power parity (GDPPCP), and the average number of years of education of the population at least 25 years old (EDYRSAG25). The first three of these terms were used because of the state failure project findings of their importance and the last two were introduced because they were found to have very considerable predictive power with historic data.&lt;br /&gt;
&lt;br /&gt;
The IFs project developed an analytic function capability for functions with multiple independent variables that allows the user to change the parameters of the function freely within the modeling system. The default values seldom draw upon more than 2-3 of the independent variables, because of the high correlation among many of them. Those interested in the empirical analysis should look to a project document (Hughes 2002) prepared for the CIA’s Strategic Assessment Group (SAG), or to the model for the default values.&lt;br /&gt;
&lt;br /&gt;
One additional formulation issue grows out of the fact that the initial values predicted for countries or regions by the six estimated equations are almost invariably somewhat different, and sometimes quite different than the empirical rate of failure. There may well be additional variables, some perhaps country-specific, that determine the empirical experience, and it is somewhat unfortunate to lose that information. Therefore the model computes three different forecasts of the six variables, depending on the user’s specification of a state failure history use parameter (sfusehist). If the value is 0, forecasts are based on predictive equations only. The equation below illustrates the formulation and that for the other five state failure variables varies with estimation. The analytic function obviously handles various formulations including linear and logarithmic.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=0&amp;lt;/math&amp;gt; then (no history)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=PredictedTerm^t_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm^t_{\gamma}=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If the value of the sfusehist parameter is 1, the historical values determine the initial level for forecasting, and the predictive functions are used to change that level over time. Again the equation is illustrative.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=1&amp;lt;/math&amp;gt; then (use history)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=\frac{PredictedTerm^t_f}{PredictedTerm^{t-1}_f}*\mathbf{SFINSTABALL}^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
If the value of the sfusehist parameter is 2, the historical values determine the initial level for forecasting, the predictive functions are used to change the level over time, and the forecast values converge over time to the predictive ones, gradually eliminating the influence of the country-specific empirical base. That is, the second formulation above converges linearly towards the first over years specified by a parameter (polconv), using the CONVERGE function of IFs.&lt;br /&gt;
&lt;br /&gt;
:if &amp;lt;math&amp;gt;\mathbf{sfusehist}=3&amp;lt;/math&amp;gt; then (converge)&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALLBase^t_{\gamma}=\frac{PredictedTerm^t_f}{PredictedTerm^{t-1}_f}*\mathbf{SFINSTABALL}^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SFINSTABALL^t_{\gamma}=ConvergeOverTime(SFINSTABALLBase^t_{\gamma},PredictedTerm^t_f,\mathbf{polconv})&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;PredictedTerm=ANALFUN(GDPPCP^t_{\gamma},DemocTerm^t,InfMorTerm^t,TradeTerm^t,Educ25Term^t)&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DemocTerm=DemoPolity_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;InfMorTerm=\frac{INFMOR_{\gamma}}{WINFMOR}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;TradeTerm=\frac{X_{\gamma}+M_{\gamma}}{GDP}*100&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;Educ25Term=EDYRSAG25_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Probability of state failure from different causes ==&lt;br /&gt;
&lt;br /&gt;
The variables represent the probability of failure with respect to distinct conceptual groups of drivers.&lt;br /&gt;
&lt;br /&gt;
*SFDEM (demography)&lt;br /&gt;
*SFECONDEV (economic/development)&lt;br /&gt;
*SFGOV (governance)&lt;br /&gt;
*SFIMBAL (structural imbalances)&lt;br /&gt;
&lt;br /&gt;
=== Input variables needed to compute the probabilities ===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;1&amp;quot; cellpadding=&amp;quot;1&amp;quot; width=&amp;quot;0&amp;quot; style=&amp;quot;width:576px;&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 150px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Drivers&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 72px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Coeff.&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 138px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Units&lt;br /&gt;
&lt;br /&gt;
! nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width: 84px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Transformation&lt;br /&gt;
&lt;br /&gt;
! style=&amp;quot;width: 132px; height: 35px;&amp;quot; scope=&amp;quot;col&amp;quot; | &lt;br /&gt;
Other specification&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Demography&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Infant mortality&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.77919&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Deaths/1000 Births&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
population&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.30204&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Millions&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Population growth&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.07767&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Youth bulge (15-29/15+)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
0.0077&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
Net migration&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
-0.29432&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
Millions&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:2px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:2px;&amp;quot; | &lt;br /&gt;
-8.23582&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:2px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:2px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:2px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Economic/Development&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.30591&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Thousands (2011 PPP)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
GDP/cap (log) growth&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.06393&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Percent&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Life expectancy&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.02537&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Years&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-2.06558&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Governance&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Polity&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.03273&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-10 to 10&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Polity^2&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.02155&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
Polity&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-2.89726&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;lt;u&amp;gt;&#039;&#039;&#039;Structural Imbalances&#039;&#039;&#039;&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:19px;&amp;quot; | &lt;br /&gt;
&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
polity v GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.04735&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Polity - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln(GDP/cap)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Pooled&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Life Exp. v GDP/cap&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-0.0558&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Life Exp. - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
Ln(GDP/cap)&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Partial Pool (re)&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
Youth Bulge v Polity&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
0.0131&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
[Yth Blg&amp;amp;nbsp;% - Expected]&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
Based on year 2013&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:150px;height:10px;&amp;quot; | &lt;br /&gt;
_cons&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:72px;height:10px;&amp;quot; | &lt;br /&gt;
-4.23404&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:138px;height:10px;&amp;quot; | &lt;br /&gt;
-&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:84px;height:10px;&amp;quot; | &lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:132px;height:10px;&amp;quot; | &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Formulation for the probabilities is below, where β0 is the constant, β1…k are the parameters listed above, and X1…k are the driver values&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Economic Inequality and Political Conflict&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs does not yet include this important relationship. See Lichbach (1989) and Moore, Lindstrom, and O’Regan (1996) for analyses of how difficult this relationship is to specify. One critical problem is conceptualization of political conflict, political repression, political instability, political violence, political protest, etc. There are clearly many interacting, but separate dimensions for consideration. As Lichbach (1989: 448) says, &amp;quot;robust EI-PC laws have not been discovered.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
== Drug Model Equations ==&lt;br /&gt;
&lt;br /&gt;
We use linear regressions for each of the variables described above. We fit&amp;amp;nbsp;this linear equation to logistic curves to derive the final prevalence rate. The methodology used here is similar to what is used in the water and sanitation model in the International Futures tool to compute access to water and sanitation.&amp;lt;ref&amp;gt;Rothman, D.S. and Irfan M.T, IFs infrastructure model documentation, Working Paper 2013.07.22, Josef Korbel School of International Studies, University of Denver, Denver CO. https://pardee.du.edu/ifs-infrastructure-model-documentation&amp;lt;/ref&amp;gt;&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
The values are computed using the equations given below,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=(0.040239 * \frac{C_{R}}{POP_{R}}) + (1.966652 * GEM_{R}) + (0.476489* GINIDOM_{R}) - 8.7474&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=(3.522315 * YTHBULGE_{R}) + (2.495262* GEM_{R})-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=(-.1.946209* LN(100 * \frac{INCOMELT310LN _{R}}{ POP_{R}}) + &amp;lt;/math&amp;gt;&lt;br /&gt;
::::::::::::&amp;lt;math&amp;gt;(4.236404* YTHBULGE_{R}) + (.7277734 * LN(100 * \frac{POPURBAN _{R}}{ POP_{R}}) - 8.601204&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=(.2469778 * 100 * \frac{HLEXPEND_{R}} {GDP_{R}})-7.063833&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
​&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
*C is the amount of household consumption in billion USD&lt;br /&gt;
*POP is the population&lt;br /&gt;
*YTHBULGE is the youth bulge (Population aged between 15-29 years as a percent of the total population)&lt;br /&gt;
*INCOMELT310LN is the number of people living in poverty (earning less than USD 3.10 per day.&lt;br /&gt;
*POPURBAN is the number of people living in urban areas.&lt;br /&gt;
*HLEXPEND is the amount of health spending (private and public)&lt;br /&gt;
*GDP is the gross domestic product&lt;br /&gt;
&lt;br /&gt;
=== Pre-Processor and first year ===&lt;br /&gt;
&lt;br /&gt;
The values for drug prevalence are initialized using illicit drug demand data from the UNODC. However, data availability from this source is low. Appendix II shows the data coverage across countries from the UNODC. Therefore, filling holes for the first year where no data is available is crucial. There are three options available to the user when filling holes. They are,&lt;br /&gt;
&amp;lt;ol style=&amp;quot;list-style-type:lower-alpha;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using IHME equations to fill holes- &amp;amp;nbsp;&#039;&#039;&#039;The institute for health and metric evaluation also provides data on drug prevalence and this source has much higher coverage (184 countries from 1990 to 2016). However, this data pertains to treatment of drug prevalence. We developed regression equations to estimate levels of illicit drug use from the IHME drug prevalence data set. Appendix III describes these regression equations in detail.&amp;amp;nbsp;&amp;amp;nbsp;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using forecast year equations - &#039;&#039;&#039;This method uses the forecast year equations to derive the drug prevalence value for the first year of the model.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&#039;&#039;&#039;Using regional averages from the UNODC- &#039;&#039;&#039;Alternatively, we can also use regional averages for illicit drug prevalence to fill in holes for individual countries. &amp;amp;nbsp;&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The user can choose the initialization method using the parameter &#039;&#039;&#039;&#039;&#039;druginitsw&#039;&#039;&#039;&#039;&#039;. By default the model will choose the first option i.e. using IHME equations to fill in holes for the first year of the model.&lt;br /&gt;
&lt;br /&gt;
=== Forecast Years ===&lt;br /&gt;
&lt;br /&gt;
==== Computing Drug Demand Using the Bottom Up Approach ====&lt;br /&gt;
&lt;br /&gt;
In the forecast years, logistic regressions are used to first estimate the drug prevalence rates. The equations for amphetamines are shown below,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{amphetamines}=(3.522315 * YTHBULGE_{R} )+ (2.495262* GEM_{R} )-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{cocaine}=(.040239 * \frac{C_{R}}{POP_{R}} + (1.96421* GEM_{R} )+(.0476489* GINIDOM_{(R)})-8.7474&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{opiates}=(.7277734 * LN(POPURBAN_{R} ))+ (.42364* YTHBULGE_{R} )+(-.1946*LN(INCOMELT190LN_{R} ))-7.801985&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{presopioid}=(.2469778 * HLEXPEND_{R})-7.06&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This value is then used to compute the prevalence rate for each of the four drug types as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=100*\frac{e^{(z_{amphetamines} )}}{1+e^{(z_{amphetamines}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=100*\frac{e^{(z_{cocaine} )}}{1+e^{(z_{cocaine}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=100*\frac{e^{(z_{opiates} )}}{1+e^{(z_{opiates}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=100*\frac{e^{(z_{presopioid} )}}{1+e^{(z_{presopioid}) }}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above values are then adjusted for the shift factor, multipliers and a cap on the maximum possible value&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEAMPHETAMINE_{R}=AMIN(DRUGUSEAMPHETAMINE_{R}+DrugShift_{R} ),2.3)*druguseamphetaminem_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSECOCAINE_{R}=AMIN(DRUGUSECOCAINE_{R}+DrugShift_{R} ),2.3)*drugusecocainem_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEOPIATES_{R}=AMIN(DRUGUSEOPIATES_{R}+DrugShift_{R} ),2.3)*druguseopiatesm_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DRUGUSEPRESCRIPTOPIOID_{R}=AMIN(DRUGUSEPRESCRIPTOPIOID_{R}+DrugShift_{R} ),2.3)*druguseprescriptopioidm_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;DrugShift&#039;&#039;&#039; is the shift factor computed in the first year of the model which is used to chain the forecast values to the historical values from the data&lt;br /&gt;
&lt;br /&gt;
2.3 is the cap on drug prevalence for amphetamines.&amp;amp;nbsp;&amp;lt;ref&amp;gt;These caps have been chosen on the basis of the highest historical global prevalence rates&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;AMIN&#039;&#039;&#039; is the function used to get the minimum value of drug prevalence and the cap (2.3). Since prevalence of drug usage tends to be slow moving over time, we have also capped the rate of growth of the prevalence rate for all four drug types. The growth rate in the drug prevalence rate is capped at 5 percent for every country for every year. However, this growth rate is not applicable when the parameters on drug prevalence rate are activated by a user.&lt;br /&gt;
&lt;br /&gt;
Finally, total drug use is computed as the average of the four drug types divided by a &#039;&#039;&#039;drugusepolyindex&#039;&#039;&#039; parameter which is set to 1.2. This is done to account for users who use multiple drugs.&lt;br /&gt;
&lt;br /&gt;
=== Adjusting Drug Use Using the Top Down Approach ===&lt;br /&gt;
&lt;br /&gt;
The paragraph above described the computation of drug prevalence using the bottom up approach (i.e. drug prevalence is computed for each drug type individually and this is used to compute total drug demand). However, another approach to computing drug demand would be to compute total drug demand first and distribute that across drug types (i.e. a top down approach). The model computes total drug demand using this top down approach and then converges the drug demand computed through the bottom up approach to the same&lt;br /&gt;
&lt;br /&gt;
The top down model uses youth bulge and household consumption as the two main drivers.&lt;br /&gt;
&lt;br /&gt;
Total drug demand is calculated as,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;z_{druguseest}=(1.245 * YTHBULGE_{R} )+ (.508* \frac{C_{R}}{POP_{R}})-3.498&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;DruguseEst_{R}=100*\frac{(e^{(z_{druguseest} )}}{1+e^{(z_{druguseest} )}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The total drug use from the bottom up approach is converged to the above value over a period of 100 years. Note that there is a restriction on the year growth and decline rate of total drug use of 2%.&lt;br /&gt;
&lt;br /&gt;
== Violence Model Equations ==&lt;br /&gt;
&lt;br /&gt;
=== Pre-processor and first year ===&lt;br /&gt;
&lt;br /&gt;
In the pre-processor, each of the violence variables are initialized using death rate data from the Institute for Health and Metric Evaluation (IHME). Please note that we only forecast mortality and the model currently does not have a representation of the prevalence of violence.&lt;br /&gt;
&lt;br /&gt;
For the conflict deaths, instead of using the latest data point for initialization, we use a weighted average of conflict deaths from the previous 10 years which is then divided by 2 to generate a more realistic number for the initialization.&lt;br /&gt;
&lt;br /&gt;
Where no data is available for any particular type of violence, we use the forecast equations to fill in holes for the first year of the model.&lt;br /&gt;
&lt;br /&gt;
In the first year of the model, we need to make sure that the total deaths from violence matches the total deaths from intentional injuries in the health model. Hence we normalize the total violence deaths to the total intentional injuries deaths. Please note that this normalization is optional, i.e. the user can activate a switch &#039;&#039;&#039;&#039;&#039;svvionormsw&#039;&#039;&#039;&#039;&#039;. The normalization will also get activated in the event the user turns on the forward linkage switch from the violence model to the health model &#039;&#039;&#039;&#039;&#039;svtohlsw&#039;&#039;&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
For the normalization we first calculate the total deaths from intentional injuries in the health model. This term is called the AdjustedViolenceTerm. Now, we calculate the total deaths from the violence model and call this tem SVTerm. The deaths from the violence model are now normalized to the deaths from the health model using the equations below (The below equation is used for normalizing conflict deaths. Similar equations are used for the other types of violence),&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICT_{R}=((AdjustedViolenceTerm_{R}*(SVDTHSCONFLICT_{R}*POP_{R}/SVTerm_{R})/POP_{R})*100000&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
POP is the total population&lt;br /&gt;
&lt;br /&gt;
Shift factors are then calculated in the first year to chain the forecast values to the historical data.&lt;br /&gt;
&lt;br /&gt;
=== Forecast Years ===&lt;br /&gt;
&lt;br /&gt;
In the forecast years Estimated values are calculated using forecast equations for each type of violence. The forecast equations have been explained in Table 1 below. Each of the types of violence are calculated using this estimated value and the respective shift factor calculated in the first year of the model and the multipliers on the death rates are applied.&lt;br /&gt;
&lt;br /&gt;
The equations used are as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICT_{R}=((ConflictEst)_{R}+ConflictShift_{R})*svmulm_{R,2} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSOTHERINTERPERSON_{R}=(HomicideEst_{R}+HomicideShift_{R})*svmulm_{R,5} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSWOMENCHILDREN_{R}=(WomenandChilEst_{R}+WomenandChilShift_{R})*svmulm_{R,4} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSPOLICS_{R}=(PoliceEst_{R}+ PoliceShift_{R})*svmulm_{R,3} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSELFHARM_{R}=(SelfHarmEst_{R}+ SelfHarmShift_{R})*svmulm_{R,1} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Where,&lt;br /&gt;
&lt;br /&gt;
ConflictEst, HomicideEst, WomenandChilEst, PoliceEst and SelfHarmEst are the estimated level &amp;amp;nbsp;deaths calculated using the forecast equations.&lt;br /&gt;
&lt;br /&gt;
ConflictShift, HomicideShift, WomenandChilShift, PoliceShift and SelfHarmShift are the shift factors calculated in the first year of the model.&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;0&amp;quot; width=&amp;quot;0&amp;quot; style=&amp;quot;width:694px;&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|+ Functions used to compute estimates in the forecast years in the violence model&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;No&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Function&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;R-Squared&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Independent variable&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Co-efficient&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
&#039;&#039;&#039;Constant&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
1&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Conflict deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.5885&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Internal War magnitude&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
.5501&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
.0991&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; rowspan=&amp;quot;2&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
2&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Police violence deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.1447&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Log of homicides&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
.25879&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-3.3145&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Police violence deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.1447&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Log of corruption&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
0.28308&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-3.3145&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; rowspan=&amp;quot;2&amp;quot; style=&amp;quot;width:32px;height:20px;&amp;quot; | &lt;br /&gt;
3&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Interpersonal Violence Deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.21&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
Youthbulge&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
1.04344&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-10.5462&lt;br /&gt;
&lt;br /&gt;
|-&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:284px;height:20px;&amp;quot; | &lt;br /&gt;
Interpersonal Violence Deaths computation&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:71px;height:20px;&amp;quot; | &lt;br /&gt;
0.21&lt;br /&gt;
&lt;br /&gt;
| nowrap=&amp;quot;nowrap&amp;quot; style=&amp;quot;width:158px;height:20px;&amp;quot; | &lt;br /&gt;
GINI&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:82px;height:20px;&amp;quot; | &lt;br /&gt;
2.4341&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;width:70px;height:20px;&amp;quot; | &lt;br /&gt;
-10.5462&lt;br /&gt;
&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;After this, the total number of deaths are calculated for each category. For this purpose, we first calculate the total populations for adult males, women and children from the population model as &#039;&#039;&#039;AdultMaleTerm&#039;&#039;&#039;, &#039;&#039;&#039;WomenTerm&#039;&#039;&#039; and &#039;&#039;&#039;ChildrenTerm&#039;&#039;&#039; respectively. Now we calculate the total number of deaths for each of the categories and apply the additive parameters on total deaths (&#039;&#039;&#039;&#039;&#039;svdthsadd&#039;&#039;&#039;&#039;&#039;) as follows,&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSOTHERINTERTOT_{R}=(SVDTHSOTHERINTERPERSON_{R}/100000)*AdultMaleTerm)+svdthsadd_{R,5}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSPOLICSTOT_{R}=(SVDTHSPOLICS_{R}/100000)*POP_{R})+svdthsadd_{R,3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSWOMENANDCHILTOT_{R}=(SVDTHSWOMENANDCHILDREN_{R}/100000)*(WomenTerm_{R}+ChildrenTerm_{R}))+svdthsadd_{R,3}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSCONFLICTTOT_{R}=(SVDTHSCONFLICT_{R}/100000)*POP_{R})+svdthsadd_{R,2}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSELFHARMTOT_{R}=(SVDTHSSELFHARM_{R}/100000)*POP_{R})+svdthsadd_{R,1}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this stage, we calculate the total deaths from societal violence as a simple sum of each of the above categories,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SVDTHSSOCIETALVIOLENCETOT_{R}=(SVDTHSCONFLICTTOT_{R}+SVDTHSOTHERINTERTOT_{R}+SVDTHSPOLICSTOT_{R}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;+SVDTHSWOMENANDCHILTOT_{R}+SVDTHSSELFHARMTOT_{R})+ svdthsadd_{R,6}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since we have applied additive parameters above, we perform a recalculation of the total death rates using the total number of deaths from each category of violence.&lt;br /&gt;
&lt;br /&gt;
We now calculate the total death rate from societal violence,&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;SOCIETALVIOLENCEDEATHS_{R}=(SVDTHSSOCIETALVIOLENCETOT_{R}/POP_{R} )*100000&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, the homicide index is calculated using each of the above except self-harm. The contribution of each term to the homicide index can be changed using the parameter &#039;&#039;&#039;&#039;&#039;svindexm&#039;&#039;&#039;&#039;&#039;. Each term is set to a value of 1 in the Base Case.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Policy Equations: Government Expenditures&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The fiscal model of IFs is quite simple and builds on the computation of government consumption (GOVCON) in the economic model.&lt;br /&gt;
&lt;br /&gt;
IFs expenditures fall into six categories: military, health, education, research and development, other, and foreign aid. IFs divides total government consumption (GOVCON) into these five destination sectors (GDS) with a vector of government spending coefficients (GK) based on initial conditions. The user can change that default pattern of government spending over time with a multiplier parameter (gdsm). The model normalizes the allocation to assure that the money spent is no more or less than total government consumption.&lt;br /&gt;
&lt;br /&gt;
The last category of spending complicates the allocation of spending to destination categories. It is traditional not to think of foreign aid in terms of its percentage of the governmental budget (as we often think of defense or educational expenditures), but to think of it in terms of a percentage of the GDP. For instance, the United Nations has called for foreign aid spending equal to 0.7% (earlier 1.0%) of GDP of donor countries. Moreover, for some governments, foreign aid is not an expenditure, but a receipt and an addition to government revenues.&lt;br /&gt;
&lt;br /&gt;
Therefore IFs actually calculates foreign aid expenditures and receipts first and fixes those amounts (see the [[Socio-Political#Policy_Equations:_Foreign_Aid|foreign aid equations]]). It then allocates the amount of government spending that remains in the coffers of aid donors (or the augmented amount available to aid recipients) among the other categories, normalizing the allocation to the sum of the coefficients in those other categories.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GDS^t_{\gamma,g}=GOVCON_{\gamma}*GK^{t-1}_{\gamma,g}*\mathbf{gdsm}_{\gamma,g}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;GK^{t-1}_{\gamma,g}=\frac{\mathbf{GDS}^{t-1}_{\gamma,g}}{\mathbf{GOVCON}^{t-1}_{\gamma}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
There are several forward linkages of government spending that are important. A mortality multiplier (MORTMG) is computed for the demographic model, using changes in health spending from the initial year and a parameter of the impact of that spending (elashc).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;MORTMG_{\gamma}=1-(\frac{GDS_{\gamma,g=health}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=health}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elashc}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Three of the forward linkages carry information on spending to the calculation of multifactor productivity in the economic production function, for additive rather than multiplicative use. One variable tracks change in education spending (CNGEDUC), modified by an elasticity of education on MFP (elmfped) and carries it forward. Another tracks changes in health spending (CNGHLTH) using a parameter (elmfphl). The third tracks changes in R&amp;amp;D spending with a parameter of impact (elmfprd). In each case there is a lag involved because of computational sequence.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGEDUC^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=educ}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=educ}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfped}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGHLTH^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=health}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=health}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfphl}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;CNGRAND^{t-1}_{\gamma}=(\frac{GDS_{\gamma,g=R\&amp;amp;D}}{GDP_{\gamma}}-\frac{\mathbf{GDS}^{t=1}_{\gamma,g=R\&amp;amp;D}}{\mathbf{GDP}^{t=1}_{\gamma}})*\mathbf{elmfprd}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Because essentially of an older variable form for the education term that is still used in the agricultural model’s production function, the first of the three terms is transferred to that older variable (LEFMG).&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;LEFMG^{t-1}_{\gamma}=CNGEDUC^{t-1}_{\gamma}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Policy Equations: Foreign Aid&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs uses a &amp;quot;pool&amp;quot; approach to aid (AID) rather than indicating bilateral flows from particular donors to particular recipients. That is, all aid from all donors flows into the pool and then all recipients draw proportions of the pool.&lt;br /&gt;
&lt;br /&gt;
IFs uses the aid value parameter (AIDDON) to calculate the aid (AID) from donors and AIDREC to calculate the targeted aid to recipients. The pool of aid donations determines the actual total level of interstate aid flows, however, and is allocated among potential recipients according to the proportions targeted for each.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AID_{\gamma}=\frac{GDP*(\mathbf{aidrec}_{\gamma}-\mathbf{aiddon}_{\gamma})}{100}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Aid outflows are negative and the total aid pool given (AIDP) is the sum of the negative flows, while the total desired aid of recipients (AIDR) is the sum of positive flows.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AIDP=\sum^R-AID_{\gamma}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;lt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AIDR=\sum^RAID_{\gamma}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;gt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
A recomputation of aid for recipients distributes the aid pool across their demands.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;AID=AIDP*\frac{AID_{\gamma}}{AIDR}&amp;lt;/math&amp;gt; if &amp;lt;math&amp;gt;AID_{\gamma}&amp;gt;1&amp;lt;/math&amp;gt;&lt;br /&gt;
:&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
= References =&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Computations&amp;diff=7540</id>
		<title>Computations</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Computations&amp;diff=7540"/>
		<updated>2017-07-25T16:08:15Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Another feature of IFs is the Computations button. Computations allow users to create a formula of variables which correlate historic data with forecasted data, format data for uniform analysis, or provide for interesting combinations of variables that are not directly available in IFs.&lt;br /&gt;
&lt;br /&gt;
For example, you know that there is a variable used in IFs called LIT (percentage of population who are literate) but you need to know the absolute number of literate people in each country, not just the percentage. If you would like to compute from the&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self Managed Variable/Parameter]]&amp;amp;nbsp;screen, you have two options:&lt;br /&gt;
&lt;br /&gt;
*[[#Computation_on_the_Fly|Create Computations &amp;quot;On the Fly&amp;quot;]]&lt;br /&gt;
*[[#Computation_Systematically_.28Algebraic_Computations.29|Create Algebraic Computations]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Computation on the Fly&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Computations &amp;quot;On The Fly&amp;quot; can be conducted from the Type Name Box located on&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Full Variable/Parameter]]&amp;amp;nbsp;selection screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Basic arithmetic operations.&#039;&#039;&#039;&amp;amp;nbsp;For instance, to compute ratios of two variables, type the name of a variable followed by a &amp;quot;/&amp;quot;, e.g. GDP/ Then select one or more subdimensions as appropriate. Then type the denominator variable, e.g. POP, selecting appropriate subdimensions. In the status box you will see an indication (truncated) of your computational specification. When you exit to display and select a display form such as Table, you will obtain a display of GDP/POP. Be sure to specify GDP/ (or another variable for the numerator) for as many regions (or other subdimensions) as you wish before specifying POP (or other denominator variable) for the same number of regions (or other subdimensions). For instance, it is permissible to specify GDP/ for ALL regions, then POP for all regions, in order to see GDP per capita for all regions. Similarly, you can compute products of two variables. The process is the same as for ratios, except that you use the &amp;quot;*&amp;quot; operator. For additions use &amp;quot;+&amp;quot; and for subtractions use &amp;quot;-&amp;quot;. In additional to specifying variable names, you can also put numbers into a computational sequence, for instance 1000 as the entry following GDP/ That allows you to scale a value.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The percentage of one variable of another.&#039;&#039;&#039;&amp;amp;nbsp;Select the &amp;quot;full set&amp;quot; of variables for display purposes and type the name of a variable followed by a &amp;quot;%&amp;quot;, e.g. CS% Select one or more subdimensions as appropriate. Then type the denominator variable, e.g. C, selecting appropriate subdimensions. When you exit to display and select a display form such as Table, you will obtain a display of CS as a percent of C. Be sure to specify CS% (or another variable form the numerator) for as many regions (or other subdimensions) as you wish before specifying C (or other denominator variable) for the same number of regions (or other subdimensions). For instance, it is permissible to specify CS% of agriculture for ALL regions, then C for all regions, in order to see consumption of agriculture goods as a portion of total consumption for all regions.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A sum across a dimension of a variable.&#039;&#039;&#039;&amp;amp;nbsp;Precede the variable name by &amp;quot;WW&amp;quot; in order to activate the summing (think &amp;quot;world-wide&amp;quot; for WW). For instance, specifying variable name &amp;quot;WWPOP&amp;quot; will produce the sum of population across all regions. When you wish to produce a sum across one dimension of a two-dimensioned variable, specify &amp;quot;ALL&amp;quot; as the element for the dimension across which to sum.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Computation Systematically (Algebraic Computations)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Computations, open&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Full Variable/Parameter Display]].&lt;br /&gt;
&lt;br /&gt;
Click on Computations. A new window will appear. In the box, type in a formula you would like IFs to calculate. For our example, we know that we have the percent of literate people in each country and the absolute number of people in each country, so we simply need to multiply the percentage of literate people with the total population. Our formula will be a*b (or any other letter). Use standard symbols in order to distinguish different mathematical functions. Use * for multiplication, / for division, + for addition, - for subtraction, () to group terms etc. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name, Dimensions Name, Units Name:&#039;&#039;&#039;&amp;amp;nbsp;These three naming options are available but only the Formula Name is required. The Dimensions Name could be used to describe, for example, the geographic bounds of your formula. The Units Name could be used to describe the units being displayed in your formula (thousands of US$).&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter. This will bring you back to the Type your Formula window, also known as the Computations window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed in lower half of the Computations window in the left column: Now, click on Select Vars or on the variable. You will return to the Full Variable/Parameter Selection window where you will select a variable. For our example, we have two variables. For the first variable, we would like to select the LIT.&lt;br /&gt;
&lt;br /&gt;
After you have selected the LIT variable, you will be asked to choose a geographic location. For our example, make sure country/region is selected and choose ALL. After choosing your first variable, you will return to the Computations window. From there, chose your second variable, which will return you to the Full Variable/Parameter Selection window. From there, choose the POP variable for ALL counties/regions. Now, your formula of variables will be displayed in the Display Box.&lt;br /&gt;
&lt;br /&gt;
Click on Display and choose a Line Graph. You can now display the absolute population in each country that is literate, a variable that is not directly available for display in IFs, but that is available after creating a formula of variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option:&#039;&#039;&#039;&amp;amp;nbsp;Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Formula:&#039;&#039;&#039;&amp;amp;nbsp;Select this option to display the formula currently used.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Computations&amp;diff=7539</id>
		<title>Computations</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Computations&amp;diff=7539"/>
		<updated>2017-07-25T16:07:39Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Another feature of IFs is the Computations button. Computations allow users to create a formula of variables which correlate historic data with forecasted data, format data for uniform analysis, or provide for interesting combinations of variables that are not directly available in IFs.&lt;br /&gt;
&lt;br /&gt;
For example, you know that there is a variable used in IFs called LIT (percentage of population who are literate) but you need to know the absolute number of literate people in each country, not just the percentage. If you would like to compute from the&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self Managed Variable/Parameter]]&amp;amp;nbsp;screen, you have two options:&lt;br /&gt;
&lt;br /&gt;
*[[#Computation_on_the_Fly|Create Computations &amp;quot;On the Fly&amp;quot;]]&lt;br /&gt;
*[[#Computation_Systematically_.28Algebraic_Computations.29|Create Algebraic Computations]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Computation on the Fly&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Computations &amp;quot;On The Fly&amp;quot; can be conducted from the Type Name Box located on&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Full Variable/Parameter]]&amp;amp;nbsp;selection screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Basic arithmetic operations.&#039;&#039;&#039;&amp;amp;nbsp;For instance, to compute ratios of two variables, type the name of a variable followed by a &amp;quot;/&amp;quot;, e.g. GDP/ Then select one or more subdimensions as appropriate. Then type the denominator variable, e.g. POP, selecting appropriate subdimensions. In the status box you will see an indication (truncated) of your computational specification. When you exit to display and select a display form such as Table, you will obtain a display of GDP/POP. Be sure to specify GDP/ (or another variable for the numerator) for as many regions (or other subdimensions) as you wish before specifying POP (or other denominator variable) for the same number of regions (or other subdimensions). For instance, it is permissible to specify GDP/ for ALL regions, then POP for all regions, in order to see GDP per capita for all regions. Similarly, you can compute products of two variables. The process is the same as for ratios, except that you use the &amp;quot;*&amp;quot; operator. For additions use &amp;quot;+&amp;quot; and for subtractions use &amp;quot;-&amp;quot;. In additional to specifying variable names, you can also put numbers into a computational sequence, for instance 1000 as the entry following GDP/ That allows you to scale a value.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The percentage of one variable of another.&#039;&#039;&#039;&amp;amp;nbsp;Select the &amp;quot;full set&amp;quot; of variables for display purposes and type the name of a variable followed by a &amp;quot;%&amp;quot;, e.g. CS% Select one or more subdimensions as appropriate. Then type the denominator variable, e.g. C, selecting appropriate subdimensions. When you exit to display and select a display form such as Table, you will obtain a display of CS as a percent of C. Be sure to specify CS% (or another variable form the numerator) for as many regions (or other subdimensions) as you wish before specifying C (or other denominator variable) for the same number of regions (or other subdimensions). For instance, it is permissible to specify CS% of agriculture for ALL regions, then C for all regions, in order to see consumption of agriculture goods as a portion of total consumption for all regions.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A sum across a dimension of a variable.&#039;&#039;&#039;&amp;amp;nbsp;Precede the variable name by &amp;quot;WW&amp;quot; in order to activate the summing (think &amp;quot;world-wide&amp;quot; for WW). For instance, specifying variable name &amp;quot;WWPOP&amp;quot; will produce the sum of population across all regions. When you wish to produce a sum across one dimension of a two-dimensioned variable, specify &amp;quot;ALL&amp;quot; as the element for the dimension across which to sum.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Computation Systematically (Algebraic Computations)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Computations, open&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/fullset.html Self-Managed Full Variable/Parameter Display].&lt;br /&gt;
&lt;br /&gt;
Click on Computations. A new window will appear. In the box, type in a formula you would like IFs to calculate. For our example, we know that we have the percent of literate people in each country and the absolute number of people in each country, so we simply need to multiply the percentage of literate people with the total population. Our formula will be a*b (or any other letter). Use standard symbols in order to distinguish different mathematical functions. Use * for multiplication, / for division, + for addition, - for subtraction, () to group terms etc. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name, Dimensions Name, Units Name:&#039;&#039;&#039;&amp;amp;nbsp;These three naming options are available but only the Formula Name is required. The Dimensions Name could be used to describe, for example, the geographic bounds of your formula. The Units Name could be used to describe the units being displayed in your formula (thousands of US$).&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter. This will bring you back to the Type your Formula window, also known as the Computations window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed in lower half of the Computations window in the left column: Now, click on Select Vars or on the variable. You will return to the Full Variable/Parameter Selection window where you will select a variable. For our example, we have two variables. For the first variable, we would like to select the LIT.&lt;br /&gt;
&lt;br /&gt;
After you have selected the LIT variable, you will be asked to choose a geographic location. For our example, make sure country/region is selected and choose ALL. After choosing your first variable, you will return to the Computations window. From there, chose your second variable, which will return you to the Full Variable/Parameter Selection window. From there, choose the POP variable for ALL counties/regions. Now, your formula of variables will be displayed in the Display Box.&lt;br /&gt;
&lt;br /&gt;
Click on Display and choose a Line Graph. You can now display the absolute population in each country that is literate, a variable that is not directly available for display in IFs, but that is available after creating a formula of variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option:&#039;&#039;&#039;&amp;amp;nbsp;Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Formula:&#039;&#039;&#039;&amp;amp;nbsp;Select this option to display the formula currently used.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Main_Menu_Map&amp;diff=7538</id>
		<title>Main Menu Map</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Main_Menu_Map&amp;diff=7538"/>
		<updated>2017-07-25T16:03:31Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The Main Menu Map is the first thing that appears after starting and loading the International Futures program. The Main Menu Map is a world map that allows the user to easily access a range of information related to the countries tracked by IFs. The user is also able to adjust the view of the Main Menu Map by right-clicking, which allows the user to zoom in or out, re-center the map, and reset to the original view.&lt;br /&gt;
&lt;br /&gt;
The user can view the information on any of the countries for which the IFs program has data by simply left-clicking on the desired country, which causes a small dialogue box to appear with options from which the user can select. This section outlines the functions performed by the multiple options, with links to the topic pages for each of the options in case the user wants a more in-depth discussion of how to use the options.&lt;br /&gt;
&lt;br /&gt;
The first option in the dialogue box is Country Profile, an option unique to the Main Menu Map. After clicking this option, a new dialogue box opens which displays a map of the selected country followed by a list of various facts in bold and forecasted values in blue, both organized into several categories: Population, Health, Education, Social, Economic, Energy, Environment, Political-International and Political-Domestic. See&amp;amp;nbsp;[[Introduction_to_IFs#IFs_Issues_and_Modules:_Quick_Survey|Issues and Modules]]&amp;amp;nbsp;for more information on these categories. Clicking on a blue value causes a table to appear that displays both historical and forecasted data. Click on table to learn how to use this feature. Note, however, that Country Profile is listed as a display package in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The next option in the dialog box is Basic Report for Countries/Regions or Groupings. This option displays similar forecasted data as the country profile, but allows the user to adjust the forecasted data by running alternate scenarios. Click on&amp;amp;nbsp;[[Basic_Report_(Download)|Basic Report]]&amp;amp;nbsp;to learn how to use this feature in greater depth.&lt;br /&gt;
&lt;br /&gt;
Most of the remaining options can be also found under the Specialized Display option, which is located on the Display Menu.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Population#Population_by_Age_and_Sex|Cohorts of Population]]. This option shows the distribution of the total population for a given country across age groups and divided between genders.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Education#Education_by_Age,_Sex,_and_Level|Cohorts of Education]]. The diagram displays the distribution of levels of completed education from none to tertiary across age groups and separated by gender. Click on Cohorts of Education to learn more about using the features along the top of the screen.&lt;br /&gt;
&lt;br /&gt;
Next on the list is&amp;amp;nbsp;[[Use_IFs_(Download):_World_Values|Cohorts of World Values Survey]]&amp;amp;nbsp;(WVS). The WVS displays three different value orientations: Material vs. Postmaterial (MATPOSTR), Survival vs. Self-expression (SURVSE), and Traditionalist vs. Secular-Rationalist (TRADSRAT). The user can advance and regress years using functions at the top of the screen. The user can also change countries in the left-hand option box.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Health#Mortality_by_Age,_Sex,_and_Cause|Mortality by Age, Sex, and Cause]]. This option displays number of deaths per 1000 people due to injury, non-communicable disease, and communicable disease.&lt;br /&gt;
&lt;br /&gt;
The next option is Morbidity by Age, Sex, and Cause. The use of this feature is similar to that of Mortality by Age, Sex, and Cause, albeit with less features. Cohorts of Morbidity deals with the number of years of life lost due to disabilities stemming from injury, communicable diseases, and non-communicable diseases.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Economy#Development_Profile|Development Profile]]. The purpose of the Development Profile display feature is to track how Human Capital, Social Capital, Physical Capital and Knowledge contribute to the annual growth of a country/region or a group.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Economy#Financial_Profile|Financial Profile]]. This option displays domestic and international financial information for a given country or region in absolute numbers and as percentages of GDP and of exports.&lt;br /&gt;
&lt;br /&gt;
The next option is the&amp;amp;nbsp;[[Use_IFs_(Download):_Economy#Social_Accounting_Matrix|Social Accounting Matrix (SAM)]]. SAM is an input-output table of various stocks and flows among actor-classes in a given economy of a country or region.&lt;br /&gt;
&lt;br /&gt;
The next option is the&amp;amp;nbsp;[[Use_IFs_(Download):_Millennium_Development_Goals#Millenium_Development_Goals|Millennium Development Goals (MDGs)]]. This option allows the user to track the progress made towards meeting the MDGs, and to experiment with what is necessary for those goals to be met.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_Economy#World_Bank_Financial_Flows|World Bank Financial Flows]]. This option allows the user to view the annual flows from and to the bank, the cumulative position of the country/region or group, and the flow of World Bank funds to various sectors.&lt;br /&gt;
&lt;br /&gt;
The next option is the&amp;amp;nbsp;[[Use_IFs_(Download):_Environment|Advanced Sustainability Analysis]]. This option displays the relationships between material inputs, such as fossil fuels, flowing into human systems and emission from these systems, and the size of GDP, population, and the labor force.&lt;br /&gt;
&lt;br /&gt;
The next option is&amp;amp;nbsp;[[Use_IFs_(Download):_General_Performance_Analysis#Evaluate_Priorities|Evaluate Priorities]]. This feature allows the user to set numerical weights to the categories, subcategories, and variables, in order to evaluate which of them most heavily affects the output of the model.&lt;br /&gt;
&lt;br /&gt;
The last option is&amp;amp;nbsp;[[Use_IFs_(Download):_Economy#Infrastructure_Profile|Infrastructure Profile]]. This option displays the value of the categories of water and sanitation, transportation, energy, information communication technology, and knowledge systems that collectively represent the level of development of the infrastructure for a country/region or group.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7537</id>
		<title>General Display Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7537"/>
		<updated>2017-07-25T15:54:27Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Table Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This help topic will go over possibilities available to users when they access a table while using IFs.&lt;br /&gt;
&lt;br /&gt;
The format for tables used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Tableuse.gif|center|Table format example for IFs]]Users can access tables from many different aspects of IFs. A typical table is organized into rows and columns with the rows representing different years and the columns representing different data series (depending on how the table is accessed, the columns could be one variable shown across different Run-Result-Files or data from different countries).&lt;br /&gt;
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Some users will want to save these tables to .xls files that can then be used for further analysis. IFs provides many save options and users will be interested in the transpose and decompose save features detailed below. Other users will be interested in highlighting values that are above or below a certain specified range. For example, users may want to look at GDP growth data that is higher than 5%. Scroll down this help topic to the Filter section to learn how to do this.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Use this option to go back to the previous menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Refresh:&#039;&#039;&#039;&amp;amp;nbsp;If you have made any changes away from the default settings of the table, clicking on Refresh will bring about the default table settings.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Graph:&#039;&#039;&#039;&amp;amp;nbsp;Click on this and you will be able to create a line or a bar graph.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save:&#039;&#039;&#039;&amp;amp;nbsp;This option offers IFs users flexibility in saving their work.&lt;br /&gt;
&lt;br /&gt;
*It is possible to save your table as an Excel file, a CSV file or an Excel Report by selecting the&amp;amp;nbsp;&#039;&#039;&#039;File Type&#039;&#039;&#039;&amp;amp;nbsp;option after you have selected Save. The CSV, or comma separated variable, is a type of file that can be used with Excel or other spreadsheet programs. Additionally, by accessing the File Type sub-option, you can also access additional Excel formatting options. You can change or clear background formatting, add grids or add color options.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;First Year to Save&#039;&#039;&#039;, you can determine at what year your saved file will begin.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save Normal View&#039;&#039;&#039;, you will be prompted with a screen that allows you to save your file in an Excel format.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save and Transpose&#039;&#039;&#039;, you are then able to decide whether you would like to save the table as all of the years, every 5 years or every 10 years. Transposing your data switches the columns and rows so that the years are across the rows on the top of the table and the country data is located along the rows on the left hand.&lt;br /&gt;
*By choosing&amp;amp;nbsp;&#039;&#039;&#039;Save, Transpose and Decompose&#039;&#039;&#039;, users are able to save their data, move the year data to the top columns, the country data to the left hand rows and separate group information into individual member countries. This is a very helpful feature of IFs for those who choose to display data for a group or Glist and who would then like that information broken down into individual members upon saving.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Percent/Whole Toggle:&#039;&#039;&#039;&amp;amp;nbsp;By toggling between these two options, you can display data as either a percent deviation from the base year or as whole numbers.&lt;br /&gt;
*&#039;&#039;&#039;Cumulative Toggle:&#039;&#039;&#039;&amp;amp;nbsp;You can choose to display your results as cumulatively building or as select numbers for each year.&lt;br /&gt;
*&#039;&#039;&#039;Interval Average Toggle:&amp;amp;nbsp;&#039;&#039;&#039;This feature allows the user to smooth the forecast so that the trends are more clearly shown. Although it is available in every table, this feature is usable only through&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Display]], because only this feature allows the user to set the display interval. To set the display interval, first select Set Title, Display Interval, or Year from the Display Format option on the Display Menu. Then enter the display interval at the desired level. Click on Exit, and then click on Table. Finally, click on the Interval Average toggle switch, located under Display Options on the heading of the Table Display.&amp;amp;nbsp;The average is computed by using the value for the previous years and the value for a given year. For example, the value for 2010 is calculated by using the value for the previous years, even though they are not displayed- that is, the value for 2010 is calculated by adding the values for the years 2006-2010 and dividing the total value by 5. The value for the year 2015 is calculated by adding the values for the years 2011-2015 and dividing that number by 5, and so on. This example had the display interval set at 5 years, but the process for calculating the interval average is the same when the display interval is set at other levels.&lt;br /&gt;
*&#039;&#039;&#039;Moving Average Toggle&#039;&#039;&#039;: Similar to the previous feature, this option allows the user to smooth the forecast by “averaging out” the values of the forecast. However, this feature allows the user to adjust the number of years used to compute the average, while the previous feature does not. The moving average is “moving” because the recomputed values take into account values for previous years that have already been recalculated. Take the moving average for the population of the USA as an example, with the number of years included in the moving average set at 5. The value for the year 2007 with the moving average turned off is 302.5 million people. With the moving average turned on, the value for the year 2007 becomes 303.5. The moving average for 2007 is calculated by adding the moving averages for the years 2005 and 2006, as well as the unaltered values for the years 2007-2009, and dividing the total number by 5. The moving averages for the years 2006 and 2005 are calculated similarly, although with fewer years due to the lack of years prior to 2005. The moving average for the year 2005 is calculated by adding the values for years 2005-2007 and dividing by 3. The moving average for 2006 is calculated by adding the moving average for 2005 to the values for the years 2006-2008 and dividing the total by 4, and so on. The user is able to change the number of years included in the moving average from the default number of years, which is 5.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filter:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to highlight certain variables that exceed or fall below a flexible threshold.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Set Filter Parameters&#039;&#039;&#039;&amp;amp;nbsp;allows users to customize what minimum, maximum, range and rate thresholds they would like IFs to highlight. For example, if you are displaying Youth Bulge information for all countries, set the minimum filter level at 0.5.&lt;br /&gt;
*Users are then able to click on either&amp;amp;nbsp;&#039;&#039;&#039;Apply Min Level Filter, Apply Max Level Filter, Apply Range Level Filter or Apply Rate Level Filter&#039;&#039;&#039;. After selecting what filter the user would like to highlight, IFs will change the font of those selected variables to bold. For our Youth Bulge example, click on Apply Min Level Filter and all countries with a youth bulge higher than 50% will be highlighted in bold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Rank Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to set a year by which to rank the forecast in ascending or descending order for multiple countries or groups.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Percent of Total Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature shows the distribution of a given variable between two or more countries, groups, or regions as a percentage out of one hundred.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Comparison Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to divide or subtract two or more variables from one another. Will this feature is most likely to be used to compare forecasts of the same variable(s), it can be used for comparisons between different variables as well. For example, the user can subtract the demand for meat in Argentina from total meat imports to see the extent to which imports are exceeding or failing to meet demand. A single table will result. If the user wants to compare four variables, such as demand for crops with total imported crops and meat demand with total meat imports, two tables will result after the user selects a method of comparison. The use of the feature requires the selection of an even number of variables.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Run Horizon:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to choose how far into the future their table will forecast their selected variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additional Table Features:&#039;&#039;&#039;&amp;amp;nbsp;If you double-click on any of the variables in the table display, you will be presented with a small menu with&amp;amp;nbsp;[[Define, Drivers, Explain, Code and Delete|four options]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Graph Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Line Graph, Bar Graph, Scatter, Etc.&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a graph.&lt;br /&gt;
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There are several types of graphs available on IFs. These include Line Graphs, Bar Graphs, Pie Charts, Scatter Plots, and Radial Graphs. The use of Radial Graphs is discussed as&amp;amp;nbsp;[[#Radial_Graph|another topic]]. Depending on whether you are accessing graphs to display historic data or forecast data, different options will be available.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;Below is a general Line-Graph presented by IFs:&lt;br /&gt;
&lt;br /&gt;
[[File:Line.gif|center|Example of line-graph in IFs]]The display options at the top of the chart are typical for most graphs.&lt;br /&gt;
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&#039;&#039;&#039;The Continue button:&#039;&#039;&#039;&amp;amp;nbsp;Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save Option:&#039;&#039;&#039;&amp;amp;nbsp;This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option:&#039;&#039;&#039;&amp;amp;nbsp;Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Common/Scaled toggle:&#039;&#039;&#039;&amp;amp;nbsp;The scaled option displays a traditional graph. The common function displays the data points as moving from zero to one, typically the top left or bottom right, and then moving towards the opposite corner of the graph. This option is useful for those who are displaying data that either vary greatly and thus trends and patterns can not be easily distinguished.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format Option:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
There may be other options on the top of your graph. Some displays, like Pie Charts, have an Advance and Regress option at the top of the Main Menu. These options will allow users to move their pie chart through time in 5 year intervals.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
Scatter Plots have different options that are located at the bottom of the plot. Below is an image taken from IFs of a scatter plot:&lt;br /&gt;
&lt;br /&gt;
[[File:Line2.gif|center|Example of a scatter plot in IFs]]&#039;&#039;&#039;The Print option&#039;&#039;&#039;&amp;amp;nbsp;is similar to the print option discussed above.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Excel option&#039;&#039;&#039;&amp;amp;nbsp;allows users to export the data and the chart into Excel for further manipulation.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;&amp;amp;nbsp;allows users to save their image.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue option&#039;&#039;&#039;&amp;amp;nbsp;allows users to exit.&lt;br /&gt;
&lt;br /&gt;
If you have accessed historic data and are taking a longitudinal analysis (found by selecting Data Analysis from the Main Menu and Analyze Across Time), there is the ability to extrapolate historic trends into the future.&lt;br /&gt;
&lt;br /&gt;
By selecting the Trend option from the Main Menu of this feature, users are able to fit Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets. One example is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Line1.png|center|Example of  fitting Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Radial Graph&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The Radial Graph is accessible through the&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flexible Display]]&amp;amp;nbsp;and&amp;amp;nbsp;[[Self-Managed_Display_(Download)|Self-Managed Display]]&amp;amp;nbsp;options. Let&#039;s walk through the use of this feature.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial.gif|center|Example of radial graph in IFs]]&#039;&#039;&#039;The Continue button&#039;&#039;&#039;: Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;: This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option&#039;&#039;&#039;: Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Advance&#039;&#039;&#039;: Clicking this button advances the graph by 5 years to a maximum of 2100.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Regress&#039;&#039;&#039;: Clicking this button regresses the graph by 5 years to a minimum of 2005.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scaling&#039;&#039;&#039;: This option uses the maximum and minimum values for each variable across all regions and time, producing values between 0 and 1. This feature is particularly useful in conjunction with the Display in Different Graphs option (see below).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format option&#039;&#039;&#039;: This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multiple Graphs&#039;&#039;&#039;: Several sub-options appear after clicking on this option. We will walk through the use of these various features with an example. In Full Variable/Parameter Selection, first select a scenario- try Markets First. Then, select AGDEM-Venezuela-All. Next, select a different scenario, say, Sustainability First. Next, select AGDEM-Venezuela-All. Go the Display, and then to Radial Graph.&lt;br /&gt;
&lt;br /&gt;
The first step is to adjust the number of variables display in the graph. The default number of variables displayed depends on the number selected. In this case, as we have six variables selected, six are displayed. However, selecting more than six variables will nevertheless require the user to manually adjust the number of variables displayed, as the default does not automatically go higher than six. For the example here, change the Variables Per Graph to three. A graph like the one pictured below should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial1.gif|center|Example of radial graph with multiple variables]]Next, click on Display in Different Graphs. This option is useful when working with two or more years or scenarios, as the user can choose to display the forecast or data for the years in different graphs. To facilitate making comparisons, the user should consider turning on Common Scaling under the&amp;amp;nbsp;&#039;&#039;&#039;Scaling&#039;&#039;&#039;&amp;amp;nbsp;option.&lt;br /&gt;
&lt;br /&gt;
The next feature to experiment with is Continuous Mode. This feature involves adjust the manner in which variables are loaded in radial graph. In the current example, the first items selected in Full Variable/Parameter Selection were the two different scenarios- Markets First and Sustainability First. When Continuous Mode is selected, these are the criteria by which the variables are grouped. With Discontinuous Mode selected, the variables are interspersed between variables loaded in the even positions and variables loaded in the odd positions. To tell which variables are loaded in even and odd positions, simply return to the Display Menu and review the selected names. Similarly, if the variables were loaded according to country instead of by scenario, then using continuous mode would group the variables according to country. Note that selecting between continuous and discontinuous mode requires selecting an even number of variables.&lt;br /&gt;
&lt;br /&gt;
The final feature to experiment with is Display Multiple Years. As the name says, this option allows the user to display multiple years in a single graph. Hold down Ctrl when selecting multiple years. The various years are identifiable by different colors corresponding to certain years. To keep with the current example, select 2005 and 2030. The following graphs should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial2.gif|center|Example of radial graph with multiple years of data]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Format options&#039;&#039;&#039;: Double-clicking or right-clicking anywhere on the graph will bring up a dialogue box that has several display/formatting options.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Map Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a map. There are two main places where users can access maps while using IFs:&lt;br /&gt;
&lt;br /&gt;
*[[General_Display_Options#Map_Use|Map Use Display (Forecast)]]&lt;br /&gt;
&lt;br /&gt;
You can find this by selecting Display from IFs Main Menu. Maps located here will display forecasted variables.&lt;br /&gt;
&lt;br /&gt;
*[[General_Display_Options#Map_Use_Data_Analysis|Map Use Data Analysis]]&lt;br /&gt;
&lt;br /&gt;
The other way that users can access maps when using IFs is through the Data Analysis option on the Main Menu of IFs. These maps will display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
The format for maps used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Mapuse.gif|center|Example of map format in IFs]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Display&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Display from the Main Menu of IFs. Choose Specialized Display and map displays are located in the World Map, Lorenz and Gini option.&lt;br /&gt;
&lt;br /&gt;
A function of the Main Menu of the map feature is the&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another Main Menu option is&amp;amp;nbsp;&#039;&#039;&#039;TimeControl&#039;&#039;&#039;. If this is selected, the forecast can be advanced or regressed across time. Users can also move to the first and last years of the forecast by selecting FirstYear and LastYear respectively.&lt;br /&gt;
&lt;br /&gt;
Yet another option on this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map from different perspectives.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
*&#039;&#039;&#039;Equal Count/Equal Interval:&#039;&#039;&#039;&amp;amp;nbsp;Toggling between these two choices allows users to display their data emphasizing either an equal number of countries represented between each data interval (Equal Count) or equal disbursements of data (Equal Interval).&lt;br /&gt;
&lt;br /&gt;
From this world map accessed from the Display option on the Main Menu of IFs, the last option available to users is the Variable option. This brings up a window that allows users to select from a list of variables used in IFs. After selecting these variables, they will be displayed on the world map. Scroll through the list of variables either manually or by clicking characters in the box located at the top of the window. Also, users are able to select from different Run-Result-Files located in the box at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. At the bottom left of the display is an option to change the number of display categories. The year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Data Analysis&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Data Analysis from the Main Menu of IFs and then World Map. These maps access and display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7536</id>
		<title>General Display Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7536"/>
		<updated>2017-07-25T15:53:07Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Table Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This help topic will go over possibilities available to users when they access a table while using IFs.&lt;br /&gt;
&lt;br /&gt;
The format for tables used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Tableuse.gif|center|Table format example for IFs]]Users can access tables from many different aspects of IFs. A typical table is organized into rows and columns with the rows representing different years and the columns representing different data series (depending on how the table is accessed, the columns could be one variable shown across different Run-Result-Files or data from different countries).&lt;br /&gt;
&lt;br /&gt;
Some users will want to save these tables to .xls files that can then be used for further analysis. IFs provides many save options and users will be interested in the transpose and decompose save features detailed below. Other users will be interested in highlighting values that are above or below a certain specified range. For example, users may want to look at GDP growth data that is higher than 5%. Scroll down this help topic to the Filter section to learn how to do this.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Use this option to go back to the previous menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Refresh:&#039;&#039;&#039;&amp;amp;nbsp;If you have made any changes away from the default settings of the table, clicking on Refresh will bring about the default table settings.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Graph:&#039;&#039;&#039;&amp;amp;nbsp;Click on this and you will be able to create a line or a bar graph.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save:&#039;&#039;&#039;&amp;amp;nbsp;This option offers IFs users flexibility in saving their work.&lt;br /&gt;
&lt;br /&gt;
*It is possible to save your table as an Excel file, a CSV file or an Excel Report by selecting the&amp;amp;nbsp;&#039;&#039;&#039;File Type&#039;&#039;&#039;&amp;amp;nbsp;option after you have selected Save. The CSV, or comma separated variable, is a type of file that can be used with Excel or other spreadsheet programs. Additionally, by accessing the File Type sub-option, you can also access additional Excel formatting options. You can change or clear background formatting, add grids or add color options.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;First Year to Save&#039;&#039;&#039;, you can determine at what year your saved file will begin.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save Normal View&#039;&#039;&#039;, you will be prompted with a screen that allows you to save your file in an Excel format.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save and Transpose&#039;&#039;&#039;, you are then able to decide whether you would like to save the table as all of the years, every 5 years or every 10 years. Transposing your data switches the columns and rows so that the years are across the rows on the top of the table and the country data is located along the rows on the left hand.&lt;br /&gt;
*By choosing&amp;amp;nbsp;&#039;&#039;&#039;Save, Transpose and Decompose&#039;&#039;&#039;, users are able to save their data, move the year data to the top columns, the country data to the left hand rows and separate group information into individual member countries. This is a very helpful feature of IFs for those who choose to display data for a group or Glist and who would then like that information broken down into individual members upon saving.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Percent/Whole Toggle:&#039;&#039;&#039;&amp;amp;nbsp;By toggling between these two options, you can display data as either a percent deviation from the base year or as whole numbers.&lt;br /&gt;
*&#039;&#039;&#039;Cumulative Toggle:&#039;&#039;&#039;&amp;amp;nbsp;You can choose to display your results as cumulatively building or as select numbers for each year.&lt;br /&gt;
*&#039;&#039;&#039;Interval Average Toggle:&amp;amp;nbsp;&#039;&#039;&#039;This feature allows the user to smooth the forecast so that the trends are more clearly shown. Although it is available in every table, this feature is usable only through&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Display]], because only this feature allows the user to set the display interval. To set the display interval, first select Set Title, Display Interval, or Year from the Display Format option on the Display Menu. Then enter the display interval at the desired level. Click on Exit, and then click on Table. Finally, click on the Interval Average toggle switch, located under Display Options on the heading of the Table Display.&amp;amp;nbsp;The average is computed by using the value for the previous years and the value for a given year. For example, the value for 2010 is calculated by using the value for the previous years, even though they are not displayed- that is, the value for 2010 is calculated by adding the values for the years 2006-2010 and dividing the total value by 5. The value for the year 2015 is calculated by adding the values for the years 2011-2015 and dividing that number by 5, and so on. This example had the display interval set at 5 years, but the process for calculating the interval average is the same when the display interval is set at other levels.&lt;br /&gt;
*&#039;&#039;&#039;Moving Average Toggle&#039;&#039;&#039;: Similar to the previous feature, this option allows the user to smooth the forecast by “averaging out” the values of the forecast. However, this feature allows the user to adjust the number of years used to compute the average, while the previous feature does not. The moving average is “moving” because the recomputed values take into account values for previous years that have already been recalculated. Take the moving average for the population of the USA as an example, with the number of years included in the moving average set at 5. The value for the year 2007 with the moving average turned off is 302.5 million people. With the moving average turned on, the value for the year 2007 becomes 303.5. The moving average for 2007 is calculated by adding the moving averages for the years 2005 and 2006, as well as the unaltered values for the years 2007-2009, and dividing the total number by 5. The moving averages for the years 2006 and 2005 are calculated similarly, although with fewer years due to the lack of years prior to 2005. The moving average for the year 2005 is calculated by adding the values for years 2005-2007 and dividing by 3. The moving average for 2006 is calculated by adding the moving average for 2005 to the values for the years 2006-2008 and dividing the total by 4, and so on. The user is able to change the number of years included in the moving average from the default number of years, which is 5.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filter:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to highlight certain variables that exceed or fall below a flexible threshold.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Set Filter Parameters&#039;&#039;&#039;&amp;amp;nbsp;allows users to customize what minimum, maximum, range and rate thresholds they would like IFs to highlight. For example, if you are displaying Youth Bulge information for all countries, set the minimum filter level at 0.5.&lt;br /&gt;
*Users are then able to click on either&amp;amp;nbsp;&#039;&#039;&#039;Apply Min Level Filter, Apply Max Level Filter, Apply Range Level Filter or Apply Rate Level Filter&#039;&#039;&#039;. After selecting what filter the user would like to highlight, IFs will change the font of those selected variables to bold. For our Youth Bulge example, click on Apply Min Level Filter and all countries with a youth bulge higher than 50% will be highlighted in bold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Rank Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to set a year by which to rank the forecast in ascending or descending order for multiple countries or groups.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Percent of Total Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature shows the distribution of a given variable between two or more countries, groups, or regions as a percentage out of one hundred.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Comparison Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to divide or subtract two or more variables from one another. Will this feature is most likely to be used to compare forecasts of the same variable(s), it can be used for comparisons between different variables as well. For example, the user can subtract the demand for meat in Argentina from total meat imports to see the extent to which imports are exceeding or failing to meet demand. A single table will result. If the user wants to compare four variables, such as demand for crops with total imported crops and meat demand with total meat imports, two tables will result after the user selects a method of comparison. The use of the feature requires the selection of an even number of variables.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Run Horizon:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to choose how far into the future their table will forecast their selected variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additional Table Features:&#039;&#039;&#039;&amp;amp;nbsp;If you double-click on any of the variables in the table display, you will be presented with a small menu with&amp;amp;nbsp;[[Define, Drivers, Explain, Code and Delete|four options]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Graph Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Line Graph, Bar Graph, Scatter, Etc.&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a graph.&lt;br /&gt;
&lt;br /&gt;
There are several types of graphs available on IFs. These include Line Graphs, Bar Graphs, Pie Charts, Scatter Plots, and Radial Graphs. The use of Radial Graphs is discussed as&amp;amp;nbsp;[[#Radial_Graph|another topic]]. Depending on whether you are accessing graphs to display historic data or forecast data, different options will be available.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;Below is a general Line-Graph presented by IFs:&lt;br /&gt;
&lt;br /&gt;
[[File:Line.gif|center|Example of line-graph in IFs]]The display options at the top of the chart are typical for most graphs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue button:&#039;&#039;&#039;&amp;amp;nbsp;Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save Option:&#039;&#039;&#039;&amp;amp;nbsp;This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option:&#039;&#039;&#039;&amp;amp;nbsp;Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Common/Scaled toggle:&#039;&#039;&#039;&amp;amp;nbsp;The scaled option displays a traditional graph. The common function displays the data points as moving from zero to one, typically the top left or bottom right, and then moving towards the opposite corner of the graph. This option is useful for those who are displaying data that either vary greatly and thus trends and patterns can not be easily distinguished.&lt;br /&gt;
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&#039;&#039;&#039;The Display Format Option:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
There may be other options on the top of your graph. Some displays, like Pie Charts, have an Advance and Regress option at the top of the Main Menu. These options will allow users to move their pie chart through time in 5 year intervals.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
Scatter Plots have different options that are located at the bottom of the plot. Below is an image taken from IFs of a scatter plot:&lt;br /&gt;
&lt;br /&gt;
[[File:Line2.gif|center|Example of a scatter plot in IFs]]&#039;&#039;&#039;The Print option&#039;&#039;&#039;&amp;amp;nbsp;is similar to the print option discussed above.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Excel option&#039;&#039;&#039;&amp;amp;nbsp;allows users to export the data and the chart into Excel for further manipulation.&lt;br /&gt;
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&#039;&#039;&#039;The Save option&#039;&#039;&#039;&amp;amp;nbsp;allows users to save their image.&lt;br /&gt;
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&#039;&#039;&#039;The Continue option&#039;&#039;&#039;&amp;amp;nbsp;allows users to exit.&lt;br /&gt;
&lt;br /&gt;
If you have accessed historic data and are taking a longitudinal analysis (found by selecting Data Analysis from the Main Menu and Analyze Across Time), there is the ability to extrapolate historic trends into the future.&lt;br /&gt;
&lt;br /&gt;
By selecting the Trend option from the Main Menu of this feature, users are able to fit Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets. One example is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Line1.png|center|Example of  fitting Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Radial Graph&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The Radial Graph is accessible through the&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flexible Display]]&amp;amp;nbsp;and&amp;amp;nbsp;[[Self-Managed_Display_(Download)|Self-Managed Display]]&amp;amp;nbsp;options. Let&#039;s walk through the use of this feature.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial.gif|center|Example of radial graph in IFs]]&#039;&#039;&#039;The Continue button&#039;&#039;&#039;: Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;: This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option&#039;&#039;&#039;: Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Advance&#039;&#039;&#039;: Clicking this button advances the graph by 5 years to a maximum of 2100.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Regress&#039;&#039;&#039;: Clicking this button regresses the graph by 5 years to a minimum of 2005.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scaling&#039;&#039;&#039;: This option uses the maximum and minimum values for each variable across all regions and time, producing values between 0 and 1. This feature is particularly useful in conjunction with the Display in Different Graphs option (see below).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format option&#039;&#039;&#039;: This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multiple Graphs&#039;&#039;&#039;: Several sub-options appear after clicking on this option. We will walk through the use of these various features with an example. In Full Variable/Parameter Selection, first select a scenario- try Markets First. Then, select AGDEM-Venezuela-All. Next, select a different scenario, say, Sustainability First. Next, select AGDEM-Venezuela-All. Go the Display, and then to Radial Graph.&lt;br /&gt;
&lt;br /&gt;
The first step is to adjust the number of variables display in the graph. The default number of variables displayed depends on the number selected. In this case, as we have six variables selected, six are displayed. However, selecting more than six variables will nevertheless require the user to manually adjust the number of variables displayed, as the default does not automatically go higher than six. For the example here, change the Variables Per Graph to three. A graph like the one pictured below should appear.&lt;br /&gt;
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[[File:Radial1.gif|center|Example of radial graph with multiple variables]]Next, click on Display in Different Graphs. This option is useful when working with two or more years or scenarios, as the user can choose to display the forecast or data for the years in different graphs. To facilitate making comparisons, the user should consider turning on Common Scaling under the&amp;amp;nbsp;&#039;&#039;&#039;Scaling&#039;&#039;&#039;&amp;amp;nbsp;option.&lt;br /&gt;
&lt;br /&gt;
The next feature to experiment with is Continuous Mode. This feature involves adjust the manner in which variables are loaded in radial graph. In the current example, the first items selected in Full Variable/Parameter Selection were the two different scenarios- Markets First and Sustainability First. When Continuous Mode is selected, these are the criteria by which the variables are grouped. With Discontinuous Mode selected, the variables are interspersed between variables loaded in the even positions and variables loaded in the odd positions. To tell which variables are loaded in even and odd positions, simply return to the Display Menu and review the selected names. Similarly, if the variables were loaded according to country instead of by scenario, then using continuous mode would group the variables according to country. Note that selecting between continuous and discontinuous mode requires selecting an even number of variables.&lt;br /&gt;
&lt;br /&gt;
The final feature to experiment with is Display Multiple Years. As the name says, this option allows the user to display multiple years in a single graph. Hold down Ctrl when selecting multiple years. The various years are identifiable by different colors corresponding to certain years. To keep with the current example, select 2005 and 2030. The following graphs should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial2.gif|center|Example of radial graph with multiple years of data]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Format options&#039;&#039;&#039;: Double-clicking or right-clicking anywhere on the graph will bring up a dialogue box that has several display/formatting options.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Map Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a map. There are two main places where users can access maps while using IFs:&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdisplay.html Map Use Display (Forecast)]&lt;br /&gt;
&lt;br /&gt;
You can find this by selecting Display from IFs Main Menu. Maps located here will display forecasted variables.&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdata.html Map Use Data Analysis]&lt;br /&gt;
&lt;br /&gt;
The other way that users can access maps when using IFs is through the Data Analysis option on the Main Menu of IFs. These maps will display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
The format for maps used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Mapuse.gif|center|Example of map format in IFs]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Display&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Display from the Main Menu of IFs. Choose Specialized Display and map displays are located in the World Map, Lorenz and Gini option.&lt;br /&gt;
&lt;br /&gt;
A function of the Main Menu of the map feature is the&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another Main Menu option is&amp;amp;nbsp;&#039;&#039;&#039;TimeControl&#039;&#039;&#039;. If this is selected, the forecast can be advanced or regressed across time. Users can also move to the first and last years of the forecast by selecting FirstYear and LastYear respectively.&lt;br /&gt;
&lt;br /&gt;
Yet another option on this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map from different perspectives.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
*&#039;&#039;&#039;Equal Count/Equal Interval:&#039;&#039;&#039;&amp;amp;nbsp;Toggling between these two choices allows users to display their data emphasizing either an equal number of countries represented between each data interval (Equal Count) or equal disbursements of data (Equal Interval).&lt;br /&gt;
&lt;br /&gt;
From this world map accessed from the Display option on the Main Menu of IFs, the last option available to users is the Variable option. This brings up a window that allows users to select from a list of variables used in IFs. After selecting these variables, they will be displayed on the world map. Scroll through the list of variables either manually or by clicking characters in the box located at the top of the window. Also, users are able to select from different Run-Result-Files located in the box at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. At the bottom left of the display is an option to change the number of display categories. The year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Data Analysis&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Data Analysis from the Main Menu of IFs and then World Map. These maps access and display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7535</id>
		<title>General Display Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7535"/>
		<updated>2017-07-25T15:51:49Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Table Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This help topic will go over possibilities available to users when they access a table while using IFs.&lt;br /&gt;
&lt;br /&gt;
The format for tables used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Tableuse.gif|center|Table format example for IFs]]Users can access tables from many different aspects of IFs. A typical table is organized into rows and columns with the rows representing different years and the columns representing different data series (depending on how the table is accessed, the columns could be one variable shown across different Run-Result-Files or data from different countries).&lt;br /&gt;
&lt;br /&gt;
Some users will want to save these tables to .xls files that can then be used for further analysis. IFs provides many save options and users will be interested in the transpose and decompose save features detailed below. Other users will be interested in highlighting values that are above or below a certain specified range. For example, users may want to look at GDP growth data that is higher than 5%. Scroll down this help topic to the Filter section to learn how to do this.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Use this option to go back to the previous menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Refresh:&#039;&#039;&#039;&amp;amp;nbsp;If you have made any changes away from the default settings of the table, clicking on Refresh will bring about the default table settings.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Graph:&#039;&#039;&#039;&amp;amp;nbsp;Click on this and you will be able to create a line or a bar graph.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save:&#039;&#039;&#039;&amp;amp;nbsp;This option offers IFs users flexibility in saving their work.&lt;br /&gt;
&lt;br /&gt;
*It is possible to save your table as an Excel file, a CSV file or an Excel Report by selecting the&amp;amp;nbsp;&#039;&#039;&#039;File Type&#039;&#039;&#039;&amp;amp;nbsp;option after you have selected Save. The CSV, or comma separated variable, is a type of file that can be used with Excel or other spreadsheet programs. Additionally, by accessing the File Type sub-option, you can also access additional Excel formatting options. You can change or clear background formatting, add grids or add color options.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;First Year to Save&#039;&#039;&#039;, you can determine at what year your saved file will begin.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save Normal View&#039;&#039;&#039;, you will be prompted with a screen that allows you to save your file in an Excel format.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save and Transpose&#039;&#039;&#039;, you are then able to decide whether you would like to save the table as all of the years, every 5 years or every 10 years. Transposing your data switches the columns and rows so that the years are across the rows on the top of the table and the country data is located along the rows on the left hand.&lt;br /&gt;
*By choosing&amp;amp;nbsp;&#039;&#039;&#039;Save, Transpose and Decompose&#039;&#039;&#039;, users are able to save their data, move the year data to the top columns, the country data to the left hand rows and separate group information into individual member countries. This is a very helpful feature of IFs for those who choose to display data for a group or Glist and who would then like that information broken down into individual members upon saving.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Percent/Whole Toggle:&#039;&#039;&#039;&amp;amp;nbsp;By toggling between these two options, you can display data as either a percent deviation from the base year or as whole numbers.&lt;br /&gt;
*&#039;&#039;&#039;Cumulative Toggle:&#039;&#039;&#039;&amp;amp;nbsp;You can choose to display your results as cumulatively building or as select numbers for each year.&lt;br /&gt;
*&#039;&#039;&#039;Interval Average Toggle:&amp;amp;nbsp;&#039;&#039;&#039;This feature allows the user to smooth the forecast so that the trends are more clearly shown. Although it is available in every table, this feature is usable only through&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Display]], because only this feature allows the user to set the display interval. To set the display interval, first select Set Title, Display Interval, or Year from the Display Format option on the Display Menu. Then enter the display interval at the desired level. Click on Exit, and then click on Table. Finally, click on the Interval Average toggle switch, located under Display Options on the heading of the Table Display.&amp;amp;nbsp;The average is computed by using the value for the previous years and the value for a given year. For example, the value for 2010 is calculated by using the value for the previous years, even though they are not displayed- that is, the value for 2010 is calculated by adding the values for the years 2006-2010 and dividing the total value by 5. The value for the year 2015 is calculated by adding the values for the years 2011-2015 and dividing that number by 5, and so on. This example had the display interval set at 5 years, but the process for calculating the interval average is the same when the display interval is set at other levels.&lt;br /&gt;
*&#039;&#039;&#039;Moving Average Toggle&#039;&#039;&#039;: Similar to the previous feature, this option allows the user to smooth the forecast by “averaging out” the values of the forecast. However, this feature allows the user to adjust the number of years used to compute the average, while the previous feature does not. The moving average is “moving” because the recomputed values take into account values for previous years that have already been recalculated. Take the moving average for the population of the USA as an example, with the number of years included in the moving average set at 5. The value for the year 2007 with the moving average turned off is 302.5 million people. With the moving average turned on, the value for the year 2007 becomes 303.5. The moving average for 2007 is calculated by adding the moving averages for the years 2005 and 2006, as well as the unaltered values for the years 2007-2009, and dividing the total number by 5. The moving averages for the years 2006 and 2005 are calculated similarly, although with fewer years due to the lack of years prior to 2005. The moving average for the year 2005 is calculated by adding the values for years 2005-2007 and dividing by 3. The moving average for 2006 is calculated by adding the moving average for 2005 to the values for the years 2006-2008 and dividing the total by 4, and so on. The user is able to change the number of years included in the moving average from the default number of years, which is 5.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filter:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to highlight certain variables that exceed or fall below a flexible threshold.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Set Filter Parameters&#039;&#039;&#039;&amp;amp;nbsp;allows users to customize what minimum, maximum, range and rate thresholds they would like IFs to highlight. For example, if you are displaying Youth Bulge information for all countries, set the minimum filter level at 0.5.&lt;br /&gt;
*Users are then able to click on either&amp;amp;nbsp;&#039;&#039;&#039;Apply Min Level Filter, Apply Max Level Filter, Apply Range Level Filter or Apply Rate Level Filter&#039;&#039;&#039;. After selecting what filter the user would like to highlight, IFs will change the font of those selected variables to bold. For our Youth Bulge example, click on Apply Min Level Filter and all countries with a youth bulge higher than 50% will be highlighted in bold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Rank Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to set a year by which to rank the forecast in ascending or descending order for multiple countries or groups.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Percent of Total Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature shows the distribution of a given variable between two or more countries, groups, or regions as a percentage out of one hundred.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Comparison Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to divide or subtract two or more variables from one another. Will this feature is most likely to be used to compare forecasts of the same variable(s), it can be used for comparisons between different variables as well. For example, the user can subtract the demand for meat in Argentina from total meat imports to see the extent to which imports are exceeding or failing to meet demand. A single table will result. If the user wants to compare four variables, such as demand for crops with total imported crops and meat demand with total meat imports, two tables will result after the user selects a method of comparison. The use of the feature requires the selection of an even number of variables.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Run Horizon:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to choose how far into the future their table will forecast their selected variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additional Table Features:&#039;&#039;&#039;&amp;amp;nbsp;If you double-click on any of the variables in the table display, you will be presented with a small menu with&amp;amp;nbsp;[[Define, Drivers, Explain, Code and Delete|four options]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Graph Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Line Graph, Bar Graph, Scatter, Etc.&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a graph.&lt;br /&gt;
&lt;br /&gt;
There are several types of graphs available on IFs. These include Line Graphs, Bar Graphs, Pie Charts, Scatter Plots, and Radial Graphs. The use of Radial Graphs is discussed as&amp;amp;nbsp;[[#Radial_Graph|another topic]]. Depending on whether you are accessing graphs to display historic data or forecast data, different options will be available.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;Below is a general Line-Graph presented by IFs:&lt;br /&gt;
&lt;br /&gt;
[[File:Line.gif|center|Example of line-graph in IFs]]The display options at the top of the chart are typical for most graphs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue button:&#039;&#039;&#039;&amp;amp;nbsp;Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save Option:&#039;&#039;&#039;&amp;amp;nbsp;This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option:&#039;&#039;&#039;&amp;amp;nbsp;Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Common/Scaled toggle:&#039;&#039;&#039;&amp;amp;nbsp;The scaled option displays a traditional graph. The common function displays the data points as moving from zero to one, typically the top left or bottom right, and then moving towards the opposite corner of the graph. This option is useful for those who are displaying data that either vary greatly and thus trends and patterns can not be easily distinguished.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format Option:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
There may be other options on the top of your graph. Some displays, like Pie Charts, have an Advance and Regress option at the top of the Main Menu. These options will allow users to move their pie chart through time in 5 year intervals.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
Scatter Plots have different options that are located at the bottom of the plot. Below is an image taken from IFs of a scatter plot:&lt;br /&gt;
&lt;br /&gt;
[[File:Line2.gif|center|Example of a scatter plot in IFs]]&#039;&#039;&#039;The Print option&#039;&#039;&#039;&amp;amp;nbsp;is similar to the print option discussed above.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Excel option&#039;&#039;&#039;&amp;amp;nbsp;allows users to export the data and the chart into Excel for further manipulation.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;&amp;amp;nbsp;allows users to save their image.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue option&#039;&#039;&#039;&amp;amp;nbsp;allows users to exit.&lt;br /&gt;
&lt;br /&gt;
If you have accessed historic data and are taking a longitudinal analysis (found by selecting Data Analysis from the Main Menu and Analyze Across Time), there is the ability to extrapolate historic trends into the future.&lt;br /&gt;
&lt;br /&gt;
By selecting the Trend option from the Main Menu of this feature, users are able to fit Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets. One example is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Line1.png|center|Example of  fitting Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Radial Graph&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The Radial Graph is accessible through the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flexible Display]&amp;amp;nbsp;and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display]&amp;amp;nbsp;options. Let&#039;s walk through the use of this feature.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial.gif|center|Example of radial graph in IFs]]&#039;&#039;&#039;The Continue button&#039;&#039;&#039;: Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;: This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option&#039;&#039;&#039;: Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Advance&#039;&#039;&#039;: Clicking this button advances the graph by 5 years to a maximum of 2100.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Regress&#039;&#039;&#039;: Clicking this button regresses the graph by 5 years to a minimum of 2005.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scaling&#039;&#039;&#039;: This option uses the maximum and minimum values for each variable across all regions and time, producing values between 0 and 1. This feature is particularly useful in conjunction with the Display in Different Graphs option (see below).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format option&#039;&#039;&#039;: This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multiple Graphs&#039;&#039;&#039;: Several sub-options appear after clicking on this option. We will walk through the use of these various features with an example. In Full Variable/Parameter Selection, first select a scenario- try Markets First. Then, select AGDEM-Venezuela-All. Next, select a different scenario, say, Sustainability First. Next, select AGDEM-Venezuela-All. Go the Display, and then to Radial Graph.&lt;br /&gt;
&lt;br /&gt;
The first step is to adjust the number of variables display in the graph. The default number of variables displayed depends on the number selected. In this case, as we have six variables selected, six are displayed. However, selecting more than six variables will nevertheless require the user to manually adjust the number of variables displayed, as the default does not automatically go higher than six. For the example here, change the Variables Per Graph to three. A graph like the one pictured below should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial1.gif|center|Example of radial graph with multiple variables]]Next, click on Display in Different Graphs. This option is useful when working with two or more years or scenarios, as the user can choose to display the forecast or data for the years in different graphs. To facilitate making comparisons, the user should consider turning on Common Scaling under the&amp;amp;nbsp;&#039;&#039;&#039;Scaling&#039;&#039;&#039;&amp;amp;nbsp;option.&lt;br /&gt;
&lt;br /&gt;
The next feature to experiment with is Continuous Mode. This feature involves adjust the manner in which variables are loaded in radial graph. In the current example, the first items selected in Full Variable/Parameter Selection were the two different scenarios- Markets First and Sustainability First. When Continuous Mode is selected, these are the criteria by which the variables are grouped. With Discontinuous Mode selected, the variables are interspersed between variables loaded in the even positions and variables loaded in the odd positions. To tell which variables are loaded in even and odd positions, simply return to the Display Menu and review the selected names. Similarly, if the variables were loaded according to country instead of by scenario, then using continuous mode would group the variables according to country. Note that selecting between continuous and discontinuous mode requires selecting an even number of variables.&lt;br /&gt;
&lt;br /&gt;
The final feature to experiment with is Display Multiple Years. As the name says, this option allows the user to display multiple years in a single graph. Hold down Ctrl when selecting multiple years. The various years are identifiable by different colors corresponding to certain years. To keep with the current example, select 2005 and 2030. The following graphs should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial2.gif|center|Example of radial graph with multiple years of data]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Format options&#039;&#039;&#039;: Double-clicking or right-clicking anywhere on the graph will bring up a dialogue box that has several display/formatting options.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Map Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a map. There are two main places where users can access maps while using IFs:&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdisplay.html Map Use Display (Forecast)]&lt;br /&gt;
&lt;br /&gt;
You can find this by selecting Display from IFs Main Menu. Maps located here will display forecasted variables.&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdata.html Map Use Data Analysis]&lt;br /&gt;
&lt;br /&gt;
The other way that users can access maps when using IFs is through the Data Analysis option on the Main Menu of IFs. These maps will display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
The format for maps used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Mapuse.gif|center|Example of map format in IFs]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Display&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Display from the Main Menu of IFs. Choose Specialized Display and map displays are located in the World Map, Lorenz and Gini option.&lt;br /&gt;
&lt;br /&gt;
A function of the Main Menu of the map feature is the&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another Main Menu option is&amp;amp;nbsp;&#039;&#039;&#039;TimeControl&#039;&#039;&#039;. If this is selected, the forecast can be advanced or regressed across time. Users can also move to the first and last years of the forecast by selecting FirstYear and LastYear respectively.&lt;br /&gt;
&lt;br /&gt;
Yet another option on this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map from different perspectives.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
*&#039;&#039;&#039;Equal Count/Equal Interval:&#039;&#039;&#039;&amp;amp;nbsp;Toggling between these two choices allows users to display their data emphasizing either an equal number of countries represented between each data interval (Equal Count) or equal disbursements of data (Equal Interval).&lt;br /&gt;
&lt;br /&gt;
From this world map accessed from the Display option on the Main Menu of IFs, the last option available to users is the Variable option. This brings up a window that allows users to select from a list of variables used in IFs. After selecting these variables, they will be displayed on the world map. Scroll through the list of variables either manually or by clicking characters in the box located at the top of the window. Also, users are able to select from different Run-Result-Files located in the box at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. At the bottom left of the display is an option to change the number of display categories. The year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Data Analysis&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Data Analysis from the Main Menu of IFs and then World Map. These maps access and display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7534</id>
		<title>General Display Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=General_Display_Options&amp;diff=7534"/>
		<updated>2017-07-25T15:50:22Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Table Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This help topic will go over possibilities available to users when they access a table while using IFs.&lt;br /&gt;
&lt;br /&gt;
The format for tables used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Tableuse.gif|center|Table format example for IFs]]Users can access tables from many different aspects of IFs. A typical table is organized into rows and columns with the rows representing different years and the columns representing different data series (depending on how the table is accessed, the columns could be one variable shown across different Run-Result-Files or data from different countries).&lt;br /&gt;
&lt;br /&gt;
Some users will want to save these tables to .xls files that can then be used for further analysis. IFs provides many save options and users will be interested in the transpose and decompose save features detailed below. Other users will be interested in highlighting values that are above or below a certain specified range. For example, users may want to look at GDP growth data that is higher than 5%. Scroll down this help topic to the Filter section to learn how to do this.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Use this option to go back to the previous menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Refresh:&#039;&#039;&#039;&amp;amp;nbsp;If you have made any changes away from the default settings of the table, clicking on Refresh will bring about the default table settings.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Graph:&#039;&#039;&#039;&amp;amp;nbsp;Click on this and you will be able to create a line or a bar graph.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save:&#039;&#039;&#039;&amp;amp;nbsp;This option offers IFs users flexibility in saving their work.&lt;br /&gt;
&lt;br /&gt;
*It is possible to save your table as an Excel file, a CSV file or an Excel Report by selecting the&amp;amp;nbsp;&#039;&#039;&#039;File Type&#039;&#039;&#039;&amp;amp;nbsp;option after you have selected Save. The CSV, or comma separated variable, is a type of file that can be used with Excel or other spreadsheet programs. Additionally, by accessing the File Type sub-option, you can also access additional Excel formatting options. You can change or clear background formatting, add grids or add color options.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;First Year to Save&#039;&#039;&#039;, you can determine at what year your saved file will begin.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save Normal View&#039;&#039;&#039;, you will be prompted with a screen that allows you to save your file in an Excel format.&lt;br /&gt;
*By selecting&amp;amp;nbsp;&#039;&#039;&#039;Save and Transpose&#039;&#039;&#039;, you are then able to decide whether you would like to save the table as all of the years, every 5 years or every 10 years. Transposing your data switches the columns and rows so that the years are across the rows on the top of the table and the country data is located along the rows on the left hand.&lt;br /&gt;
*By choosing&amp;amp;nbsp;&#039;&#039;&#039;Save, Transpose and Decompose&#039;&#039;&#039;, users are able to save their data, move the year data to the top columns, the country data to the left hand rows and separate group information into individual member countries. This is a very helpful feature of IFs for those who choose to display data for a group or Glist and who would then like that information broken down into individual members upon saving.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Percent/Whole Toggle:&#039;&#039;&#039;&amp;amp;nbsp;By toggling between these two options, you can display data as either a percent deviation from the base year or as whole numbers.&lt;br /&gt;
*&#039;&#039;&#039;Cumulative Toggle:&#039;&#039;&#039;&amp;amp;nbsp;You can choose to display your results as cumulatively building or as select numbers for each year.&lt;br /&gt;
*&#039;&#039;&#039;Interval Average Toggle:&amp;amp;nbsp;&#039;&#039;&#039;This feature allows the user to smooth the forecast so that the trends are more clearly shown. Although it is available in every table, this feature is usable only through&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self-Managed Display]], because only this feature allows the user to set the display interval. To set the display interval, first select Set Title, Display Interval, or Year from the Display Format option on the Display Menu. Then enter the display interval at the desired level. Click on Exit, and then click on Table. Finally, click on the Interval Average toggle switch, located under Display Options on the heading of the Table Display.&amp;amp;nbsp;The average is computed by using the value for the previous years and the value for a given year. For example, the value for 2010 is calculated by using the value for the previous years, even though they are not displayed- that is, the value for 2010 is calculated by adding the values for the years 2006-2010 and dividing the total value by 5. The value for the year 2015 is calculated by adding the values for the years 2011-2015 and dividing that number by 5, and so on. This example had the display interval set at 5 years, but the process for calculating the interval average is the same when the display interval is set at other levels.&lt;br /&gt;
*&#039;&#039;&#039;Moving Average Toggle&#039;&#039;&#039;: Similar to the previous feature, this option allows the user to smooth the forecast by “averaging out” the values of the forecast. However, this feature allows the user to adjust the number of years used to compute the average, while the previous feature does not. The moving average is “moving” because the recomputed values take into account values for previous years that have already been recalculated. Take the moving average for the population of the USA as an example, with the number of years included in the moving average set at 5. The value for the year 2007 with the moving average turned off is 302.5 million people. With the moving average turned on, the value for the year 2007 becomes 303.5. The moving average for 2007 is calculated by adding the moving averages for the years 2005 and 2006, as well as the unaltered values for the years 2007-2009, and dividing the total number by 5. The moving averages for the years 2006 and 2005 are calculated similarly, although with fewer years due to the lack of years prior to 2005. The moving average for the year 2005 is calculated by adding the values for years 2005-2007 and dividing by 3. The moving average for 2006 is calculated by adding the moving average for 2005 to the values for the years 2006-2008 and dividing the total by 4, and so on. The user is able to change the number of years included in the moving average from the default number of years, which is 5.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Filter:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to highlight certain variables that exceed or fall below a flexible threshold.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Set Filter Parameters&#039;&#039;&#039;&amp;amp;nbsp;allows users to customize what minimum, maximum, range and rate thresholds they would like IFs to highlight. For example, if you are displaying Youth Bulge information for all countries, set the minimum filter level at 0.5.&lt;br /&gt;
*Users are then able to click on either&amp;amp;nbsp;&#039;&#039;&#039;Apply Min Level Filter, Apply Max Level Filter, Apply Range Level Filter or Apply Rate Level Filter&#039;&#039;&#039;. After selecting what filter the user would like to highlight, IFs will change the font of those selected variables to bold. For our Youth Bulge example, click on Apply Min Level Filter and all countries with a youth bulge higher than 50% will be highlighted in bold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Rank Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to set a year by which to rank the forecast in ascending or descending order for multiple countries or groups.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Percent of Total Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature shows the distribution of a given variable between two or more countries, groups, or regions as a percentage out of one hundred.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Comparison Options&#039;&#039;&#039;:&amp;amp;nbsp;This feature allows the user to divide or subtract two or more variables from one another. Will this feature is most likely to be used to compare forecasts of the same variable(s), it can be used for comparisons between different variables as well. For example, the user can subtract the demand for meat in Argentina from total meat imports to see the extent to which imports are exceeding or failing to meet demand. A single table will result. If the user wants to compare four variables, such as demand for crops with total imported crops and meat demand with total meat imports, two tables will result after the user selects a method of comparison. The use of the feature requires the selection of an even number of variables.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Display Run Horizon:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to choose how far into the future their table will forecast their selected variables.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additional Table Features:&#039;&#039;&#039;&amp;amp;nbsp;If you double-click on any of the variables in the table display, you will be presented with a small menu with&amp;amp;nbsp;[[Define, Drivers, Explain, Code and Delete|four options]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Graph Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Line Graph, Bar Graph, Scatter, Etc.&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a graph.&lt;br /&gt;
&lt;br /&gt;
There are several types of graphs available on IFs. These include Line Graphs, Bar Graphs, Pie Charts, Scatter Plots, and Radial Graphs. The use of Radial Graphs is discussed as&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/general/graph/radial.html another topic]. Depending on whether you are accessing graphs to display historic data or forecast data, different options will be available.&lt;br /&gt;
&lt;br /&gt;
&amp;amp;nbsp;Below is a general Line-Graph presented by IFs:&lt;br /&gt;
&lt;br /&gt;
[[File:Line.gif|center|Example of line-graph in IFs]]The display options at the top of the chart are typical for most graphs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue button:&#039;&#039;&#039;&amp;amp;nbsp;Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save Option:&#039;&#039;&#039;&amp;amp;nbsp;This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option:&#039;&#039;&#039;&amp;amp;nbsp;Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Common/Scaled toggle:&#039;&#039;&#039;&amp;amp;nbsp;The scaled option displays a traditional graph. The common function displays the data points as moving from zero to one, typically the top left or bottom right, and then moving towards the opposite corner of the graph. This option is useful for those who are displaying data that either vary greatly and thus trends and patterns can not be easily distinguished.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format Option:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
There may be other options on the top of your graph. Some displays, like Pie Charts, have an Advance and Regress option at the top of the Main Menu. These options will allow users to move their pie chart through time in 5 year intervals.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
Scatter Plots have different options that are located at the bottom of the plot. Below is an image taken from IFs of a scatter plot:&lt;br /&gt;
&lt;br /&gt;
[[File:Line2.gif|center|Example of a scatter plot in IFs]]&#039;&#039;&#039;The Print option&#039;&#039;&#039;&amp;amp;nbsp;is similar to the print option discussed above.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Excel option&#039;&#039;&#039;&amp;amp;nbsp;allows users to export the data and the chart into Excel for further manipulation.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;&amp;amp;nbsp;allows users to save their image.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Continue option&#039;&#039;&#039;&amp;amp;nbsp;allows users to exit.&lt;br /&gt;
&lt;br /&gt;
If you have accessed historic data and are taking a longitudinal analysis (found by selecting Data Analysis from the Main Menu and Analyze Across Time), there is the ability to extrapolate historic trends into the future.&lt;br /&gt;
&lt;br /&gt;
By selecting the Trend option from the Main Menu of this feature, users are able to fit Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets. One example is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Line1.png|center|Example of  fitting Linear, Polynomial, Logarithmic, Exponential or S-Shaped curves to historic data sets]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Radial Graph&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
The Radial Graph is accessible through the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flexible Display]&amp;amp;nbsp;and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display]&amp;amp;nbsp;options. Let&#039;s walk through the use of this feature.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial.gif|center|Example of radial graph in IFs]]&#039;&#039;&#039;The Continue button&#039;&#039;&#039;: Use this to exit out of the graph and return to the previous screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Save option&#039;&#039;&#039;: This will save the image you have created as one of a variety of files. The image can also be exported to the clipboard for pasting in other applications. This option also allows users to specify the size of the file that they will be creating.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Print option&#039;&#039;&#039;: Select this option, choose what printer you will send the file to and then OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Advance&#039;&#039;&#039;: Clicking this button advances the graph by 5 years to a maximum of 2100.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Regress&#039;&#039;&#039;: Clicking this button regresses the graph by 5 years to a minimum of 2005.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scaling&#039;&#039;&#039;: This option uses the maximum and minimum values for each variable across all regions and time, producing values between 0 and 1. This feature is particularly useful in conjunction with the Display in Different Graphs option (see below).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;The Display Format option&#039;&#039;&#039;: This allows users to change the names in the legends, the titles of the graphs and generally customize the image for export.&lt;br /&gt;
&lt;br /&gt;
By double-clicking on the body of the graph, users are presented with a number of other display options. Users can change labels, colors, styles and much more through this option. This new window that is displayed by double-clicking on the body of the graph has its own help system that can be accessed by clicking on the Help button located at the bottom of the window.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multiple Graphs&#039;&#039;&#039;: Several sub-options appear after clicking on this option. We will walk through the use of these various features with an example. In Full Variable/Parameter Selection, first select a scenario- try Markets First. Then, select AGDEM-Venezuela-All. Next, select a different scenario, say, Sustainability First. Next, select AGDEM-Venezuela-All. Go the Display, and then to Radial Graph.&lt;br /&gt;
&lt;br /&gt;
The first step is to adjust the number of variables display in the graph. The default number of variables displayed depends on the number selected. In this case, as we have six variables selected, six are displayed. However, selecting more than six variables will nevertheless require the user to manually adjust the number of variables displayed, as the default does not automatically go higher than six. For the example here, change the Variables Per Graph to three. A graph like the one pictured below should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial1.gif|center|Example of radial graph with multiple variables]]Next, click on Display in Different Graphs. This option is useful when working with two or more years or scenarios, as the user can choose to display the forecast or data for the years in different graphs. To facilitate making comparisons, the user should consider turning on Common Scaling under the&amp;amp;nbsp;&#039;&#039;&#039;Scaling&#039;&#039;&#039;&amp;amp;nbsp;option.&lt;br /&gt;
&lt;br /&gt;
The next feature to experiment with is Continuous Mode. This feature involves adjust the manner in which variables are loaded in radial graph. In the current example, the first items selected in Full Variable/Parameter Selection were the two different scenarios- Markets First and Sustainability First. When Continuous Mode is selected, these are the criteria by which the variables are grouped. With Discontinuous Mode selected, the variables are interspersed between variables loaded in the even positions and variables loaded in the odd positions. To tell which variables are loaded in even and odd positions, simply return to the Display Menu and review the selected names. Similarly, if the variables were loaded according to country instead of by scenario, then using continuous mode would group the variables according to country. Note that selecting between continuous and discontinuous mode requires selecting an even number of variables.&lt;br /&gt;
&lt;br /&gt;
The final feature to experiment with is Display Multiple Years. As the name says, this option allows the user to display multiple years in a single graph. Hold down Ctrl when selecting multiple years. The various years are identifiable by different colors corresponding to certain years. To keep with the current example, select 2005 and 2030. The following graphs should appear.&lt;br /&gt;
&lt;br /&gt;
[[File:Radial2.gif|center|Example of radial graph with multiple years of data]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Format options&#039;&#039;&#039;: Double-clicking or right-clicking anywhere on the graph will bring up a dialogue box that has several display/formatting options.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Map Use&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This general topic will go over the possibilities available to users when they access a map. There are two main places where users can access maps while using IFs:&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdisplay.html Map Use Display (Forecast)]&lt;br /&gt;
&lt;br /&gt;
You can find this by selecting Display from IFs Main Menu. Maps located here will display forecasted variables.&lt;br /&gt;
&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/repeated/general/map/mapdata.html Map Use Data Analysis]&lt;br /&gt;
&lt;br /&gt;
The other way that users can access maps when using IFs is through the Data Analysis option on the Main Menu of IFs. These maps will display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
The format for maps used in IFs is displayed below:&lt;br /&gt;
&lt;br /&gt;
[[File:Mapuse.gif|center|Example of map format in IFs]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Display&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Display from the Main Menu of IFs. Choose Specialized Display and map displays are located in the World Map, Lorenz and Gini option.&lt;br /&gt;
&lt;br /&gt;
A function of the Main Menu of the map feature is the&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another Main Menu option is&amp;amp;nbsp;&#039;&#039;&#039;TimeControl&#039;&#039;&#039;. If this is selected, the forecast can be advanced or regressed across time. Users can also move to the first and last years of the forecast by selecting FirstYear and LastYear respectively.&lt;br /&gt;
&lt;br /&gt;
Yet another option on this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map from different perspectives.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
*&#039;&#039;&#039;Equal Count/Equal Interval:&#039;&#039;&#039;&amp;amp;nbsp;Toggling between these two choices allows users to display their data emphasizing either an equal number of countries represented between each data interval (Equal Count) or equal disbursements of data (Equal Interval).&lt;br /&gt;
&lt;br /&gt;
From this world map accessed from the Display option on the Main Menu of IFs, the last option available to users is the Variable option. This brings up a window that allows users to select from a list of variables used in IFs. After selecting these variables, they will be displayed on the world map. Scroll through the list of variables either manually or by clicking characters in the box located at the top of the window. Also, users are able to select from different Run-Result-Files located in the box at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. At the bottom left of the display is an option to change the number of display categories. The year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Map Use Data Analysis&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These maps are found by selecting Data Analysis from the Main Menu of IFs and then World Map. These maps access and display historic, empirical data.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add four different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath the Main Menu options.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computer’s clipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Source_File&amp;diff=7533</id>
		<title>Source File</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Source_File&amp;diff=7533"/>
		<updated>2017-07-25T15:48:12Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The Source File is where IFs looks to find historical data on a given country/region or group. The main source file used in IFs is titled Base. This file contains all of the historical data for the countries of which IFs keeps track.&lt;br /&gt;
&lt;br /&gt;
For a small number of countries, however, data is available at the provincial or regional level. See the&amp;amp;nbsp;[[Country/Region,_Group_or_G-List|country/region or group help page]]&amp;amp;nbsp;for a description of how IFs uses these different terms. The data for one of these few countries can thus be further disaggregated, allowing the user to, for example, experiment with the distribution of a given variable or variables across provinces, or look at the growth of a given variable over time in a single province. To access data at the provincial level requires using a different Source File than the default used by IFs. An enterprising user of IFs could even add provincial data for a country that lacks such data.&lt;br /&gt;
&lt;br /&gt;
Access to provincial-level data is available through two features:&amp;amp;nbsp;[[Use_IFs_(Download)_Data_Analysis#Analyze_Across_Countries_(Cross-Sectional_Analysis)|Analyze Across Countries (Cross-Sectional)]]&amp;amp;nbsp;and&amp;amp;nbsp;[[Use_IFs_(Download)_Data_Analysis#Analyze_Across_Time_(Longitudinal_Analysis)|Analyze Across Time (Longitudinal)]], both of which are found under the Data Analysis option on the Main Menu.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Country/Region,_Group_or_G-List&amp;diff=7532</id>
		<title>Country/Region, Group or G-List</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Country/Region,_Group_or_G-List&amp;diff=7532"/>
		<updated>2017-07-25T15:45:41Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;186 countries underpin the functioning of IFs and these countries can be displayed separately or as parts of larger groups that users can determine.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;Below is a visual representation of how different entities are organized into Countries/Regions, Groups or Glists:&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
[[File:Geo 186.png|center|Visual representation of IFs definitions of regions/countries/groups/glists]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;*Note: In older versions of IFs, Regions were used as intermediaries between Countries and Groups. In the future, they, or some similarly named unit, will be a sub-unit of Countries. Regions, acting as a sub-unit of Countries, are currently not a feature of IFs. See the image located at the bottom of this Help topic.&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
When using IFs, there are many occasions where the user is asked whether or not they would like to display their results as a product of single countries, or larger groups. This is typically a toggle switch that moves between Country/Region and Groups, however, it might be a three-way-toggle that includes Country/Region, Group and Glist.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Countries/Regions&#039;&#039;&#039;&amp;amp;nbsp;are currently the smallest geographical unit that users can represent. The ability to split countries down into smaller regions, or states, is under development. There are 186 different countries/regions that users can display.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Groups&#039;&#039;&#039;&amp;amp;nbsp;are variably organized geographically or by memberships in international institutions/regimes. You can find out who is represented in each group and add or delete members by exploring the Managing Regionalization function.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Glists&#039;&#039;&#039;&amp;amp;nbsp;merge both Groups and Countries/Regions. These lists are mostly geographically bound. In the future, the Glist distinction will become more important as some users may want to place, for example, both the Indian state of Kerala in a Glist with Sri Lanka and Nepal.&lt;br /&gt;
&lt;br /&gt;
Users may also want to&amp;amp;nbsp;[[Extended_Features#Change_Grouping/Regionalization|create their own groups]]&amp;amp;nbsp;or&amp;amp;nbsp;[[Extended_Features#Identify_Groups_or_Country/Region_Members|explore what countries are members of what groups]].&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Extended_Features&amp;diff=7531</id>
		<title>Extended Features</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Extended_Features&amp;diff=7531"/>
		<updated>2017-07-25T15:42:35Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Manage Country Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access the Manage Country Data sub-option, click on Extended Features on the Main Menu of IFs. There you will find two sub-sub-options:&lt;br /&gt;
&lt;br /&gt;
*[[#Edit_Country_Data|Edit Country Data]]&lt;br /&gt;
*[[#Display_Processed_Data|Display Processed Data]]&lt;br /&gt;
*[[#Historic_Data_File_Processing|Historic Data File Processing]]&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to alter the historic data that underlies IFs. It is suggested that only those with extensive experience using IFs attempt to change this data.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Edit Country Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Edit Country Data, click on Extended Features on the Main Menu of IFs, and then select Manage Country Data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Initial Conditions for Countries:&#039;&#039;&#039;&amp;amp;nbsp;You may find that the data base for a country is less complete and/or accurate than you would like. You can fix most of that with the normal procedures for changing initial conditions and parameters.&lt;br /&gt;
&lt;br /&gt;
[[File:Data1.gif|center|Raw Country Data Window]]The grid gives you the opportunity to go into all issue areas and all countries and change any values you wish of the raw data. To narrow down your selection, simply click on Please remember that, if you do so, you will need to rebuild the base case again (after indicating the issue area(s) in which you have changed data) and then rerun the model. Also please remember that any changes you make to the raw data are &amp;quot;permanent&amp;quot; and do not disappear after you exit IFs: the only ways to reverse them are to do so number-by-number or to reinstall IFs.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Display Processed Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access this feature of IFs, select Extended Features from the Main Menu and then Manage Country Data. Click on Display Processed Country Data.&lt;br /&gt;
&lt;br /&gt;
By clicking on Display Processed Country Data, a window similar to the one below will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Data2.gif|center|Processed Country Data Window]]&lt;br /&gt;
&lt;br /&gt;
This allows you to view all of the data for each country that underlies the use of IFs. By toggling between the options at the top of the screen, Agriculture, Population, Economics, Social/Political and Energy, you are able to quickly find the variables you are looking for. By clicking Exit, your changes will be saved.&lt;br /&gt;
&lt;br /&gt;
If you would like to incorporate data changes into your version of IFs, make any changes necessary and then Rebuild the Model Base and rerun the model.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Historic Data File Processing&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Historic Data File Processing, click on Extended Features on the Main Menu of IFs, and then select Manage Country Data.&lt;br /&gt;
&lt;br /&gt;
If you have reason to import large amounts of data into IFs, click on the Historic Data File Processing. This will then present you with three options:&lt;br /&gt;
&lt;br /&gt;
*[[#Importing_Data_from_Excel_Files|Importing Data from Excel Files]]&lt;br /&gt;
*[[#Remove_Years_from_Data|Remove Years from Data]]&lt;br /&gt;
*[[#Identify_and_Save_Years|Identify and Save Years]]&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Importing Data from Excel Files&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Import XLS Data.&lt;br /&gt;
&lt;br /&gt;
When you choose to import large amounts of data into IFs via Excel, choose Import Data From XLS File. This will add an .xls access file to the historic data set for IFs.&lt;br /&gt;
&lt;br /&gt;
Choosing this option will cause a window to appear that will look similarly to the one below:&lt;br /&gt;
&lt;br /&gt;
[[File:Data3.gif|center|Importing data window]]Initially, it would be advised to change the Series Orientation function located on the right hand side of this menu. Identify how your data set is orientated and match that to one of the options. You will notice that the graph below changes to visually represent the specific data orientation that you choose.&lt;br /&gt;
&lt;br /&gt;
After you have chosen the Series Orientation, click on the File option located at the top of the menu. You will then be prompted to select an Excel file. After you have made your selection, the file will be loaded into the Import Excel Data form. You will then be prompted to select certain Excel Sheets. These can be seen at the bottom of the Excel file after it is opened. They may have different names or simply be distinguished as &amp;quot;Sheet 1&amp;quot;, &amp;quot;Sheet 2&amp;quot;, etc. To see the Excel file you have selected, click on Viet Excel.&lt;br /&gt;
&lt;br /&gt;
After you have selected your Excel file, you must further specify the orientation of the data so that IFs knows how to read the data after it has been imported. Fill in the Country Names Start at, Years Start at and Series Name Start at forms before proceeding. To finish the process, you must fill in some more specific information that will help IFs categorize your data. If you have questions, you can consult the Data Dictionary located in the lower-middle of the menu. When finished, click Import.&lt;br /&gt;
&lt;br /&gt;
Other options include Scaling, which allows users to change their data set values by a multiplier. Finally, users are asked to specify a name for their Variable list as well as a brief description.&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Remove Years from Data&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Remove Data From Years.&lt;br /&gt;
&lt;br /&gt;
This feature allows users to remove data for all years except for 5 year intervals.&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Identify and Save Years&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Identify and Save Years.&lt;br /&gt;
&lt;br /&gt;
This feature allows users to identify and save data years if they have made any substantive change to the years in the raw data file.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Manage Groups/Regions&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Manage Groups/Countries/Regions, click on Extended Features on the Main Menu of IFs. There you will find three sub-sub-options: Identify Group or Country/Region Members, Change Grouping/Regionalization, and Display Regionally Aggregated Data.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to delve more deeply into the structure and membership of groups or Glists that are used in IFs. Users also can create their own groups or alter membership within an existing group to suit their purpose.&lt;br /&gt;
&lt;br /&gt;
*[[#Identify_Groups_or_Country.2FRegion_Members|Learn about how to see what countries are members of what groups.]]&lt;br /&gt;
*[[#Change_Grouping.2FRegionalization|Learn how to change existing groups and create your own group.]]&lt;br /&gt;
*[[#Display_Regionally_Aggregated_Data|Learn how to display regional or group data sets.]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Identify Groups or Country/Region Members&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To identify regions or group members used in IFs, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to identify which countries/regions are represented in certain groups. By clicking on this feature, you will be presented with a menu that looks similarly to the one below:&lt;br /&gt;
&lt;br /&gt;
[[File:Groups1.gif|center|Selecting groups or countries/regions window]]By clicking on Switch to Groups, the list of countries/regions will become a list of groups. By clicking on any of the groups in the left-hand list, the members of that group will appear on the right hand side.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Change Grouping/Regionalization&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To change countries in certain regions or groups, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
How do I change the geographic representations of IFs?&lt;br /&gt;
&lt;br /&gt;
This is an advanced topic, and many users may wish to change or add Grouping designations to IFs for analysis purposes. However, before describing the processes, it is important to understand the geographic conceptualizations used in IFs. Learn more about the building blocks of IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:Groups2.gif|center|Change Grouping/Regionalization window]]&#039;&#039;&#039;Changing or Adding Groupings.&amp;amp;nbsp;&#039;&#039;&#039;On the above form, choose the Switch to Groups option. The list box on the left displays the current Groups of IFs (yours may differ from the one above). The list box in the middle provides check boxes for all countries/regions in your version of IFs; it allows you to change the membership of the Groups in the left-most box. The list box on the right shows the full set of country/region members of whatever group you select in the left-most box. Select one of the groups in the left box by clicking on it; you should see changes in both of the other two boxes as they display the country/region membership of the group and, in the case of the middle box, give you the opportunity to change that membership.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Membership in a Group.&#039;&#039;&#039;&amp;amp;nbsp;The menu options provide help editing groupings. Let’s try adding a member to an existing group. Click on the Group name in the left-hand list to activate it. You will see the group members on the right. Arbitrarily pick and country/region in the middle list that is not checked and check the box in front of its name. After you check it, note that the name is still not in the right-hand list. Now click on the Register Member Changes option from the menu. Note that the country/region is added immediately to the right-hand list. Your editing is complete. You could now exit the form and begin displaying results for the redefined group (or use the group as the basis for parameter change in scenario analysis). But instead, uncheck the box in front of the country/region name and again click on Register Member Changes. You will have undone your arbitrary change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Adding a Group:&#039;&#039;&#039;&amp;amp;nbsp;Now let’s add a Group. Click on the Add Group option. The system will first confirm that you want to make such a change. Proceed. When asked for a name of the Group, provide that name if you have one in mind for a new group or type Test if you do not. After hitting the Enter key, you will see the new Group at the bottom of the left-hand list.&lt;br /&gt;
&lt;br /&gt;
At this point the Group has been created, but has no members. With the name of the Group in the left-had box activated, select its members by activating the appropriate check-boxes in the middle column. When you have finished that, touch the Register Member Changes option. You will see the members of your Group pop up in the right-hand box.&lt;br /&gt;
&lt;br /&gt;
You can now Exit from the form. You should see a message box that indicates no errors in what you have done. Then you will see a message indicating that your new group has been added to a file of IFs that maintains such groupings. That means that even when you stop the model and begin again later, the new Group will be defined. Go to one of the Display options and try to create a table for the new Group. It should work just like any other.&lt;br /&gt;
&lt;br /&gt;
If you have created a Test group, however, you probably do not want it to always remain an option. So go back into Change Regionalization/Grouping, select the Test group in the left-hand window, and touch the Delete Group option. Again the program will ask for confirmation. Provide it and proceed.&lt;br /&gt;
&lt;br /&gt;
There should be no limit on the number of Groups that you can designate in this way.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Display Regionally Aggregated Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To display data that is regionally aggregated, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows you to view data that is separated into economic, agricultural or energy sectors for specific countries. By selecting this feature, a window similar to the one below will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Groups3.gif|center|Processed Region Data Window]]Toggle between the options at the top of the menu in order to change the data represented below.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Change Country Subregionalization&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Introduction to Sub-regionalization Procedures&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Using IFs, the user will be able to not only display all variables for individual countries across time, but also examine their results as a product of larger groups or divide a country into sub-regions and study these regions separately. To learn how the processes work, it is important to understand the geographic representation used in IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:Geo 186.png|center|Visual representation of IFs definitions of regions/countries/groups/glists]]There are 186 country-specific data sets in IFs and they form the foundation of the program. Groups are the collections of countries and regions organized geographically or by membership in international institutions/regimes. G-lists merge both groups and countries and are mostly geographically bound. The ability to split countries down into smaller regions, provinces or states is represented by the Regions module which is now under development.&lt;br /&gt;
&lt;br /&gt;
The user can choose in which form to display their results. They can also&amp;amp;nbsp;[[#Identify_Groups_or_Country.2FRegion_Members|examine the membership of each group]],&amp;amp;nbsp;[[#Change_Grouping.2FRegionalization|create new groups and add or delete members of an existing group]]. In particular, they can use the sub-regionalization feature of IFs to explore all variables of individual provinces within a country or a region. This section will primarily introduce the management of sub-regionalization. By learning the process, users can delve deeper into the analysis of any particular country by creating its sub-regions and investigating the variables of individual regions.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Foundation for the Process: Database Modification&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
Before a country in IFs can be divided into states or provinces, a new data file called IFsHistSeriesxxx.mdb, for example IFsHistSeriesChina.mdb, must be created for the country. That file is a variation of the country-based file called IFsHistSeries.mdb with data series tables for all countries across time for all variables. In addition, some tables that exist in the file Provinces.mdb on the IFs\Data directory require modifications to initiate the sub-regionalization process.&lt;br /&gt;
&lt;br /&gt;
The process of sub-regionalization actually affects five files: IFs.mdb, IFsHistSeries.mdb, IFsCoVatra.mdb, IFsCoVatraSeries.mdb, and IFsWVSCohort.mdb. For each of the files, the process looks in the IFs\Data folder for an equivalent file with the name of the country at the end, for example IFsHistSeriesChina.mdb, then creates a copy to the IFs\Runfiles directory. Modification is done in the copies on the \Runfiles directory as well to the original files in the \Data directory. Data for both individual provinces and the country as a whole are preserved, and can be copied back and forth between \Data and \Runfiles directories, so the user will be able to switch between model runs with different sub-regionalizations, and reset everything to the starting point without states/provinces.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Add or Delete Sub-regions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To add sub-regions, choose&amp;amp;nbsp;&#039;&#039;&#039;Extended features&#039;&#039;&#039;&amp;amp;nbsp;on the menu bar first. In the drop down menu choose&amp;amp;nbsp;&#039;&#039;&#039;Change Country Sub-Regionalization&#039;&#039;&#039;, and then&amp;amp;nbsp;&#039;&#039;&#039;Add or Delete Subregions&#039;&#039;&#039;. The popup window would show several sub-regions that already exist in IFs. Click on a country to see its available sub-regions.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion1.gif|center|Sub-region selection window]]Choose a region name and click&amp;amp;nbsp;&#039;&#039;&#039;Add&#039;&#039;&#039;. Click&amp;amp;nbsp;&#039;&#039;&#039;OK&#039;&#039;&#039;&amp;amp;nbsp;on popup windows to proceed.&lt;br /&gt;
&lt;br /&gt;
That would initiate backstage processes which include 1) checking the availability of four required data series for the states and provinces being created in IFsHistSeriesxxx.mdb, 2) filling holes in the four required data series for the base year and other years, 3) processing additional available data series from the province files, and 4) filling holes for series that are needed for further model processing.&lt;br /&gt;
&lt;br /&gt;
When the processes are complete, the user will be taken to the form for Rebuilding the Base Data Load, where IFs cleans and reconciles data series and also aggregates states/provinces into sub-regions or individual ones.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion2.gif|center|Rebuilding the Base Data Load window]]In the Rebuild Base form, all boxes on the Rebuild Base form should be checked either automatically or by the user.&lt;br /&gt;
&lt;br /&gt;
Rebuilding the base case will place all initial conditions and parameters into the base case, but all computed values will be set at 0 until the model is re-run. Usually, the completion of rebuilding the base data load will automatically take the user to the form for re-running the model and re-creating the base case. If it does not, exit to the main menu, click&amp;amp;nbsp;&#039;&#039;&#039;Scenario Analysis&#039;&#039;&#039;&amp;amp;nbsp;and choose&amp;amp;nbsp;&#039;&#039;&#039;Single Run&#039;&#039;&#039;&amp;amp;nbsp;from the sub-menu&amp;amp;nbsp;&#039;&#039;&#039;Run&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion3.gif|center|Run scenario window]]Run the base case for as long a time period as possible (normally to 2100).&lt;br /&gt;
&lt;br /&gt;
Upon completion of the model run, there will be a working file with all computed variables, but the IFsBase.run file will still not include those computed variables. To save the results of the new run, choose&amp;amp;nbsp;&#039;&#039;&#039;SAVE working file as&#039;&#039;&#039;… from&amp;amp;nbsp;&#039;&#039;&#039;File Management&#039;&#039;&#039;&amp;amp;nbsp;under&amp;amp;nbsp;&#039;&#039;&#039;Scenario Analysis&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
It is also possible to switch between different model runs. For instance, the user has just completed a sub-regionalization that divides China into single provinces. Now he would like to use data for the whole country as a base case again. To remove all sub-regions, open the window for&amp;amp;nbsp;&#039;&#039;&#039;Add or Delete Subregions&#039;&#039;&#039;. Click on&amp;amp;nbsp;&#039;&#039;&#039;Switch Provinces&#039;&#039;&#039;&amp;amp;nbsp;and choose&amp;amp;nbsp;&#039;&#039;&#039;No State/Province&#039;&#039;&#039;&amp;amp;nbsp;from the right side box of Available Runs. Click&amp;amp;nbsp;&#039;&#039;&#039;Switch&#039;&#039;&#039;&amp;amp;nbsp;to restore the model to pre-sub-regionalization status.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion4.gif|center|Selecting raw sub-region data window]]To add another sub-region, the existing sub-region needs to be deleted first. The option to delete a sub-region is in the same window as to add sub-regions. Select a region name and click&amp;amp;nbsp;&#039;&#039;&#039;Delete&#039;&#039;&#039;&amp;amp;nbsp;to delete the sub-region. Deleting a region will remove all files created in the process of adding the region, and the corresponding model run will no longer be available from the Switch Provinces option.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Change Sub-regionalization&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs allows users to create new sub-regions and to alter the membership of existing sub-regions for analysis purpose. Before changing sub-regionalization, it is necessary to restore the model to pre-sub-regionalization status. Then, under&amp;amp;nbsp;&#039;&#039;&#039;Extended Features&#039;&#039;&#039;, choose&amp;amp;nbsp;&#039;&#039;&#039;Change Sub-Regionalization&#039;&#039;&#039;&amp;amp;nbsp;from sub-menu&amp;amp;nbsp;&#039;&#039;&#039;Change Country Sub-Regionalization&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion5.gif|center|Selecting sub-regionalization window]]On the above form, the list box on the left displays the current sub-regions of IFs. The list box in the middle provides available geographic units for the country chosen. The list box on the right shows the full set of region members of whatever group the users select in the left-most box.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Membership in a Region&#039;&#039;&#039;. Click on a region name in the left-hand list to activate it. Double click a state/province in the right-most box to remove it from the highlighted sub-region, and double click a state/province in the middle box to add it to the highlighted sub-region.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create New Region&#039;&#039;&#039;. Click on Create New Region on the above form and enter a region name to add in the pop-up window. The newly created region will then appear on the left-most box in the form. Follow the same instructions as in Editing Membership in a Region to add and edit members for the new region.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Show Computed Functions&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Show Computed Functions, click on Extended Features on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
By clicking on Show Computed Functions, you will be presented with a menu that looks similarly to the one pictured below:&lt;br /&gt;
&lt;br /&gt;
[[File:Feat6.gif|center|Computed Functions window]]The box that is located in the middle of your screen holds hundreds of functions. Select one or more of these functions. In order to select more than one function, highlight one function, hold in the Ctrl key and select a second function.&lt;br /&gt;
&lt;br /&gt;
After you have selected a function, choose the Draw Graph option from the top of the menu. This will then display the function at the bottom of the screen along with the specific function and an R-Squared value.&lt;br /&gt;
&lt;br /&gt;
You are then able to export what you have created by selecting Save Graph. This will open a new window that will present you with more graph saving options.&lt;br /&gt;
&lt;br /&gt;
Turning Tracking On or Tracking Off allows values to be displayed in the top right corner of the graph.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Rebuild Model Base&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Rebuilding either the model base, or the historic base, are features that allow you to incorporate larger changes you have made to foundational aspects of IFs. Rebuilding the Model Base (also known as the Futures Base) will ask IFs to reconstruct all of its data from 2000-2100. Rebuilding the Historic Base will ask IFs to reconstruct its data from 1960-2000.&lt;br /&gt;
&lt;br /&gt;
To access Rebuild Model Base, click on Extended Features on the Main Menu of IFs. There you will find two sub-sub-options:&lt;br /&gt;
&lt;br /&gt;
*[[#Rebuild_the_Base|Rebuild the Base]]&lt;br /&gt;
*[[#Rebuild_the_Historic_Base|Rebuild the Historic Base]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Rebuild the Base&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Rebuilding the Base, click on Extended Features on the Main Menu of IFs, and then select Rebuild Model Base.&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Rebuilding the Base Case&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
If you have made substantive changes to, say, the regionalization of IFs, you will have to rebuild the base for those changes to take effect. Choose Model Change again from the Main Menu and choose the Rebuild Base sub-option. That may have two sub options – you want Rebuild Base, not Rebuild Historic Base (although if both are there, the regionalization change means that you should return later and also Rebuild the Historic Base). IFs will provide a short synopsis of what rebuilding the base will do and when you would want to do it. It then provides the Rebuild Base window – at this point, you can still change your mind and exit without rebuilding the base:&lt;br /&gt;
&lt;br /&gt;
[[File:Rebuild.gif|center|Rebuilding the Base Case window]]At this point you have changed the regionalization, but have not changed any of the raw country data, so check only the Regionalization box on this screen. Note that IFs will, however, automatically check the issue-area specific boxes, because it needs to create new regional values in each one of those. Normally you will want to rebuild the base case for as long a time period as possible, so leave the Last Year at 2100. When ready, touch the Rebuild Base command button.&lt;br /&gt;
&lt;br /&gt;
Rebuilding the base case will take a while, because all country-specific data must be aggregated into regions. The preprocessor that does this also takes care to check consistency of various data series and to fill holes as necessary.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Running the Model to Fill the New Base Case&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
When the process is complete, you will be reminded that you must now run the model. Although all initial conditions and parameters have been placed into the base case, all computed values were set at 0 when you rebuilt the base. So Exit to the Main menu, go to Self-Managed Scenario Analysis, choose the Run option, and run the model for the longest time period possible (normally 2100).&lt;br /&gt;
&lt;br /&gt;
Upon completion of the model run, you will have a working file with the computed variables, but the IFsBase.run file will still not include those computed variables. Because you have rebuilt the Base Case, the model will ask you if you want to save the results of your run (still in the Working File) as the new Base Case. Respond affirmatively to save the working file as IFsBase.run. These are the only circumstances under which IFs will allow you to save over the Base Case.&lt;br /&gt;
&lt;br /&gt;
You should now have a Base Case that includes whatever changes you made to the regionalization of the model. You will be able to display any variable in IFs for the change you made.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Rebuild the Historic Base&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Rebuilding the Historic Base, click on Extended Features on the Main Menu of IFs, and then select Rebuild Model Base.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs should only be used if one or more of the following occurs:&lt;br /&gt;
&lt;br /&gt;
*You have lost the base case and cannot retrieve it from an instillation disk&lt;br /&gt;
*You have changed the country-specific data base in access files&lt;br /&gt;
*You have changed the number or membership of model regions&lt;br /&gt;
&lt;br /&gt;
The process of rebuilding the base of IFs will process all of the country specific data in the model and will create group files. These files will then be used to construct a new base. Rebuilding the Historic Base will delete earlier Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After deciding you would like to rebuild the historic base, you will be prompted with a menu that allows you to specify what data sets you would like rebuilt and change the last year. The menu should look similarly to the image below:&lt;br /&gt;
&lt;br /&gt;
[[File:Rebuild1.gif|center|Rebuilding Historic Base window]]Check the boxes you would like to rebuild and click on Rebuild Base.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Model Integration&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Model Integration, click on Extended Features on the Main Menu of IFs. This feature is designed to incorporate different software programs into IFs. It is currently under development.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Extended_Features&amp;diff=7530</id>
		<title>Extended Features</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Extended_Features&amp;diff=7530"/>
		<updated>2017-07-25T15:40:45Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Manage Country Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access the Manage Country Data sub-option, click on Extended Features on the Main Menu of IFs. There you will find two sub-sub-options:&lt;br /&gt;
&lt;br /&gt;
*[[#Edit_Country_Data|Edit Country Data]]&lt;br /&gt;
*[[#Display_Processed_Data|Display Processed Data]]&lt;br /&gt;
*[[#Historic_Data_File_Processing|Historic Data File Processing]]&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to alter the historic data that underlies IFs. It is suggested that only those with extensive experience using IFs attempt to change this data.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Edit Country Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Edit Country Data, click on Extended Features on the Main Menu of IFs, and then select Manage Country Data.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Initial Conditions for Countries:&#039;&#039;&#039;&amp;amp;nbsp;You may find that the data base for a country is less complete and/or accurate than you would like. You can fix most of that with the normal procedures for changing initial conditions and parameters.&lt;br /&gt;
&lt;br /&gt;
[[File:Data1.gif|center|Raw Country Data Window]]The grid gives you the opportunity to go into all issue areas and all countries and change any values you wish of the raw data. To narrow down your selection, simply click on Please remember that, if you do so, you will need to rebuild the base case again (after indicating the issue area(s) in which you have changed data) and then rerun the model. Also please remember that any changes you make to the raw data are &amp;quot;permanent&amp;quot; and do not disappear after you exit IFs: the only ways to reverse them are to do so number-by-number or to reinstall IFs.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Display Processed Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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To access this feature of IFs, select Extended Features from the Main Menu and then Manage Country Data. Click on Display Processed Country Data.&lt;br /&gt;
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By clicking on Display Processed Country Data, a window similar to the one below will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Data2.gif|center|Processed Country Data Window]]&lt;br /&gt;
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This allows you to view all of the data for each country that underlies the use of IFs. By toggling between the options at the top of the screen, Agriculture, Population, Economics, Social/Political and Energy, you are able to quickly find the variables you are looking for. By clicking Exit, your changes will be saved.&lt;br /&gt;
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If you would like to incorporate data changes into your version of IFs, make any changes necessary and then Rebuild the Model Base and rerun the model.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Historic Data File Processing&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Historic Data File Processing, click on Extended Features on the Main Menu of IFs, and then select Manage Country Data.&lt;br /&gt;
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If you have reason to import large amounts of data into IFs, click on the Historic Data File Processing. This will then present you with three options:&lt;br /&gt;
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*[[#Importing_Data_from_Excel_Files|Importing Data from Excel Files]]&lt;br /&gt;
*[[#Remove_Years_from_Data|Remove Years from Data]]&lt;br /&gt;
*[[#Identify_and_Save_Years|Identify and Save Years]]&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Importing Data from Excel Files&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Import XLS Data.&lt;br /&gt;
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When you choose to import large amounts of data into IFs via Excel, choose Import Data From XLS File. This will add an .xls access file to the historic data set for IFs.&lt;br /&gt;
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Choosing this option will cause a window to appear that will look similarly to the one below:&lt;br /&gt;
&lt;br /&gt;
[[File:Data3.gif|center|Importing data window]]Initially, it would be advised to change the Series Orientation function located on the right hand side of this menu. Identify how your data set is orientated and match that to one of the options. You will notice that the graph below changes to visually represent the specific data orientation that you choose.&lt;br /&gt;
&lt;br /&gt;
After you have chosen the Series Orientation, click on the File option located at the top of the menu. You will then be prompted to select an Excel file. After you have made your selection, the file will be loaded into the Import Excel Data form. You will then be prompted to select certain Excel Sheets. These can be seen at the bottom of the Excel file after it is opened. They may have different names or simply be distinguished as &amp;quot;Sheet 1&amp;quot;, &amp;quot;Sheet 2&amp;quot;, etc. To see the Excel file you have selected, click on Viet Excel.&lt;br /&gt;
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After you have selected your Excel file, you must further specify the orientation of the data so that IFs knows how to read the data after it has been imported. Fill in the Country Names Start at, Years Start at and Series Name Start at forms before proceeding. To finish the process, you must fill in some more specific information that will help IFs categorize your data. If you have questions, you can consult the Data Dictionary located in the lower-middle of the menu. When finished, click Import.&lt;br /&gt;
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Other options include Scaling, which allows users to change their data set values by a multiplier. Finally, users are asked to specify a name for their Variable list as well as a brief description.&lt;br /&gt;
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=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Remove Years from Data&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Remove Data From Years.&lt;br /&gt;
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This feature allows users to remove data for all years except for 5 year intervals.&lt;br /&gt;
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=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Identify and Save Years&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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This feature of IFs can be found by selecting Extended Features from the Main Menu, Manage Country Data, Historic Data File Processing and then Identify and Save Years.&lt;br /&gt;
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This feature allows users to identify and save data years if they have made any substantive change to the years in the raw data file.&amp;amp;nbsp;&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Manage Groups/Regions&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Manage Groups/Countries/Regions, click on Extended Features on the Main Menu of IFs. There you will find three sub-sub-options: Identify Group or Country/Region Members, Change Grouping/Regionalization, and Display Regionally Aggregated Data.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to delve more deeply into the structure and membership of groups or Glists that are used in IFs. Users also can create their own groups or alter membership within an existing group to suit their purpose.&lt;br /&gt;
&lt;br /&gt;
*[[#Identify_Groups_or_Country.2FRegion_Members|Learn about how to see what countries are members of what groups.]]&lt;br /&gt;
*[[#Change_Grouping.2FRegionalization|Learn how to change existing groups and create your own group.]]&lt;br /&gt;
*[[#Display_Regionally_Aggregated_Data|Learn how to display regional or group data sets.]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Identify Groups or Country/Region Members&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To identify regions or group members used in IFs, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to identify which countries/regions are represented in certain groups. By clicking on this feature, you will be presented with a menu that looks similarly to the one below:&lt;br /&gt;
&lt;br /&gt;
[[File:Groups1.gif|center|Selecting groups or countries/regions window]]By clicking on Switch to Groups, the list of countries/regions will become a list of groups. By clicking on any of the groups in the left-hand list, the members of that group will appear on the right hand side.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Change Grouping/Regionalization&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To change countries in certain regions or groups, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
How do I change the geographic representations of IFs?&lt;br /&gt;
&lt;br /&gt;
This is an advanced topic, and many users may wish to change or add Grouping designations to IFs for analysis purposes. However, before describing the processes, it is important to understand the geographic conceptualizations used in IFs. Learn more about the building blocks of IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:Groups2.gif|center|Change Grouping/Regionalization window]]&#039;&#039;&#039;Changing or Adding Groupings.&amp;amp;nbsp;&#039;&#039;&#039;On the above form, choose the Switch to Groups option. The list box on the left displays the current Groups of IFs (yours may differ from the one above). The list box in the middle provides check boxes for all countries/regions in your version of IFs; it allows you to change the membership of the Groups in the left-most box. The list box on the right shows the full set of country/region members of whatever group you select in the left-most box. Select one of the groups in the left box by clicking on it; you should see changes in both of the other two boxes as they display the country/region membership of the group and, in the case of the middle box, give you the opportunity to change that membership.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Membership in a Group.&#039;&#039;&#039;&amp;amp;nbsp;The menu options provide help editing groupings. Let’s try adding a member to an existing group. Click on the Group name in the left-hand list to activate it. You will see the group members on the right. Arbitrarily pick and country/region in the middle list that is not checked and check the box in front of its name. After you check it, note that the name is still not in the right-hand list. Now click on the Register Member Changes option from the menu. Note that the country/region is added immediately to the right-hand list. Your editing is complete. You could now exit the form and begin displaying results for the redefined group (or use the group as the basis for parameter change in scenario analysis). But instead, uncheck the box in front of the country/region name and again click on Register Member Changes. You will have undone your arbitrary change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Adding a Group:&#039;&#039;&#039;&amp;amp;nbsp;Now let’s add a Group. Click on the Add Group option. The system will first confirm that you want to make such a change. Proceed. When asked for a name of the Group, provide that name if you have one in mind for a new group or type Test if you do not. After hitting the Enter key, you will see the new Group at the bottom of the left-hand list.&lt;br /&gt;
&lt;br /&gt;
At this point the Group has been created, but has no members. With the name of the Group in the left-had box activated, select its members by activating the appropriate check-boxes in the middle column. When you have finished that, touch the Register Member Changes option. You will see the members of your Group pop up in the right-hand box.&lt;br /&gt;
&lt;br /&gt;
You can now Exit from the form. You should see a message box that indicates no errors in what you have done. Then you will see a message indicating that your new group has been added to a file of IFs that maintains such groupings. That means that even when you stop the model and begin again later, the new Group will be defined. Go to one of the Display options and try to create a table for the new Group. It should work just like any other.&lt;br /&gt;
&lt;br /&gt;
If you have created a Test group, however, you probably do not want it to always remain an option. So go back into Change Regionalization/Grouping, select the Test group in the left-hand window, and touch the Delete Group option. Again the program will ask for confirmation. Provide it and proceed.&lt;br /&gt;
&lt;br /&gt;
There should be no limit on the number of Groups that you can designate in this way.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Display Regionally Aggregated Data&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To display data that is regionally aggregated, click on Extended Features on the Main Menu of IFs, and then select Manage Regionalization.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows you to view data that is separated into economic, agricultural or energy sectors for specific countries. By selecting this feature, a window similar to the one below will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Groups3.gif|center|Processed Region Data Window]]Toggle between the options at the top of the menu in order to change the data represented below.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Change Country Subregionalization&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Introduction to Sub-regionalization Procedures&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
Using IFs, the user will be able to not only display all variables for individual countries across time, but also examine their results as a product of larger groups or divide a country into sub-regions and study these regions separately. To learn how the processes work, it is important to understand the geographic representation used in IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:Geo 186.png|center|Visual representation of IFs definitions of regions/countries/groups/glists]]There are 186 country-specific data sets in IFs and they form the foundation of the program. Groups are the collections of countries and regions organized geographically or by membership in international institutions/regimes. G-lists merge both groups and countries and are mostly geographically bound. The ability to split countries down into smaller regions, provinces or states is represented by the Regions module which is now under development.&lt;br /&gt;
&lt;br /&gt;
The user can choose in which form to display their results. They can also&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/extended/manageregion/identify.html examine the membership of each group],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/extended/manageregion/change.html create new groups and add or delete members of an existing group]. In particular, they can use the sub-regionalization feature of IFs to explore all variables of individual provinces within a country or a region. This section will primarily introduce the management of sub-regionalization. By learning the process, users can delve deeper into the analysis of any particular country by creating its sub-regions and investigating the variables of individual regions.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Foundation for the Process: Database Modification&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
Before a country in IFs can be divided into states or provinces, a new data file called IFsHistSeriesxxx.mdb, for example IFsHistSeriesChina.mdb, must be created for the country. That file is a variation of the country-based file called IFsHistSeries.mdb with data series tables for all countries across time for all variables. In addition, some tables that exist in the file Provinces.mdb on the IFs\Data directory require modifications to initiate the sub-regionalization process.&lt;br /&gt;
&lt;br /&gt;
The process of sub-regionalization actually affects five files: IFs.mdb, IFsHistSeries.mdb, IFsCoVatra.mdb, IFsCoVatraSeries.mdb, and IFsWVSCohort.mdb. For each of the files, the process looks in the IFs\Data folder for an equivalent file with the name of the country at the end, for example IFsHistSeriesChina.mdb, then creates a copy to the IFs\Runfiles directory. Modification is done in the copies on the \Runfiles directory as well to the original files in the \Data directory. Data for both individual provinces and the country as a whole are preserved, and can be copied back and forth between \Data and \Runfiles directories, so the user will be able to switch between model runs with different sub-regionalizations, and reset everything to the starting point without states/provinces.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Add or Delete Sub-regions&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To add sub-regions, choose&amp;amp;nbsp;&#039;&#039;&#039;Extended features&#039;&#039;&#039;&amp;amp;nbsp;on the menu bar first. In the drop down menu choose&amp;amp;nbsp;&#039;&#039;&#039;Change Country Sub-Regionalization&#039;&#039;&#039;, and then&amp;amp;nbsp;&#039;&#039;&#039;Add or Delete Subregions&#039;&#039;&#039;. The popup window would show several sub-regions that already exist in IFs. Click on a country to see its available sub-regions.&lt;br /&gt;
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[[File:Subregion1.gif|center|Sub-region selection window]]Choose a region name and click&amp;amp;nbsp;&#039;&#039;&#039;Add&#039;&#039;&#039;. Click&amp;amp;nbsp;&#039;&#039;&#039;OK&#039;&#039;&#039;&amp;amp;nbsp;on popup windows to proceed.&lt;br /&gt;
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That would initiate backstage processes which include 1) checking the availability of four required data series for the states and provinces being created in IFsHistSeriesxxx.mdb, 2) filling holes in the four required data series for the base year and other years, 3) processing additional available data series from the province files, and 4) filling holes for series that are needed for further model processing.&lt;br /&gt;
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When the processes are complete, the user will be taken to the form for Rebuilding the Base Data Load, where IFs cleans and reconciles data series and also aggregates states/provinces into sub-regions or individual ones.&lt;br /&gt;
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[[File:Subregion2.gif|center|Rebuilding the Base Data Load window]]In the Rebuild Base form, all boxes on the Rebuild Base form should be checked either automatically or by the user.&lt;br /&gt;
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Rebuilding the base case will place all initial conditions and parameters into the base case, but all computed values will be set at 0 until the model is re-run. Usually, the completion of rebuilding the base data load will automatically take the user to the form for re-running the model and re-creating the base case. If it does not, exit to the main menu, click&amp;amp;nbsp;&#039;&#039;&#039;Scenario Analysis&#039;&#039;&#039;&amp;amp;nbsp;and choose&amp;amp;nbsp;&#039;&#039;&#039;Single Run&#039;&#039;&#039;&amp;amp;nbsp;from the sub-menu&amp;amp;nbsp;&#039;&#039;&#039;Run&#039;&#039;&#039;.&lt;br /&gt;
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[[File:Subregion3.gif|center|Run scenario window]]Run the base case for as long a time period as possible (normally to 2100).&lt;br /&gt;
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Upon completion of the model run, there will be a working file with all computed variables, but the IFsBase.run file will still not include those computed variables. To save the results of the new run, choose&amp;amp;nbsp;&#039;&#039;&#039;SAVE working file as&#039;&#039;&#039;… from&amp;amp;nbsp;&#039;&#039;&#039;File Management&#039;&#039;&#039;&amp;amp;nbsp;under&amp;amp;nbsp;&#039;&#039;&#039;Scenario Analysis&#039;&#039;&#039;.&lt;br /&gt;
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It is also possible to switch between different model runs. For instance, the user has just completed a sub-regionalization that divides China into single provinces. Now he would like to use data for the whole country as a base case again. To remove all sub-regions, open the window for&amp;amp;nbsp;&#039;&#039;&#039;Add or Delete Subregions&#039;&#039;&#039;. Click on&amp;amp;nbsp;&#039;&#039;&#039;Switch Provinces&#039;&#039;&#039;&amp;amp;nbsp;and choose&amp;amp;nbsp;&#039;&#039;&#039;No State/Province&#039;&#039;&#039;&amp;amp;nbsp;from the right side box of Available Runs. Click&amp;amp;nbsp;&#039;&#039;&#039;Switch&#039;&#039;&#039;&amp;amp;nbsp;to restore the model to pre-sub-regionalization status.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion4.gif|center|Selecting raw sub-region data window]]To add another sub-region, the existing sub-region needs to be deleted first. The option to delete a sub-region is in the same window as to add sub-regions. Select a region name and click&amp;amp;nbsp;&#039;&#039;&#039;Delete&#039;&#039;&#039;&amp;amp;nbsp;to delete the sub-region. Deleting a region will remove all files created in the process of adding the region, and the corresponding model run will no longer be available from the Switch Provinces option.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Change Sub-regionalization&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
IFs allows users to create new sub-regions and to alter the membership of existing sub-regions for analysis purpose. Before changing sub-regionalization, it is necessary to restore the model to pre-sub-regionalization status. Then, under&amp;amp;nbsp;&#039;&#039;&#039;Extended Features&#039;&#039;&#039;, choose&amp;amp;nbsp;&#039;&#039;&#039;Change Sub-Regionalization&#039;&#039;&#039;&amp;amp;nbsp;from sub-menu&amp;amp;nbsp;&#039;&#039;&#039;Change Country Sub-Regionalization&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
[[File:Subregion5.gif|center|Selecting sub-regionalization window]]On the above form, the list box on the left displays the current sub-regions of IFs. The list box in the middle provides available geographic units for the country chosen. The list box on the right shows the full set of region members of whatever group the users select in the left-most box.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Editing Membership in a Region&#039;&#039;&#039;. Click on a region name in the left-hand list to activate it. Double click a state/province in the right-most box to remove it from the highlighted sub-region, and double click a state/province in the middle box to add it to the highlighted sub-region.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create New Region&#039;&#039;&#039;. Click on Create New Region on the above form and enter a region name to add in the pop-up window. The newly created region will then appear on the left-most box in the form. Follow the same instructions as in Editing Membership in a Region to add and edit members for the new region.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Show Computed Functions&amp;lt;/span&amp;gt; =&lt;br /&gt;
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To access Show Computed Functions, click on Extended Features on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
By clicking on Show Computed Functions, you will be presented with a menu that looks similarly to the one pictured below:&lt;br /&gt;
&lt;br /&gt;
[[File:Feat6.gif|center|Computed Functions window]]The box that is located in the middle of your screen holds hundreds of functions. Select one or more of these functions. In order to select more than one function, highlight one function, hold in the Ctrl key and select a second function.&lt;br /&gt;
&lt;br /&gt;
After you have selected a function, choose the Draw Graph option from the top of the menu. This will then display the function at the bottom of the screen along with the specific function and an R-Squared value.&lt;br /&gt;
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You are then able to export what you have created by selecting Save Graph. This will open a new window that will present you with more graph saving options.&lt;br /&gt;
&lt;br /&gt;
Turning Tracking On or Tracking Off allows values to be displayed in the top right corner of the graph.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Rebuild Model Base&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Rebuilding either the model base, or the historic base, are features that allow you to incorporate larger changes you have made to foundational aspects of IFs. Rebuilding the Model Base (also known as the Futures Base) will ask IFs to reconstruct all of its data from 2000-2100. Rebuilding the Historic Base will ask IFs to reconstruct its data from 1960-2000.&lt;br /&gt;
&lt;br /&gt;
To access Rebuild Model Base, click on Extended Features on the Main Menu of IFs. There you will find two sub-sub-options:&lt;br /&gt;
&lt;br /&gt;
*[[#Rebuild_the_Base|Rebuild the Base]]&lt;br /&gt;
*[[#Rebuild_the_Historic_Base|Rebuild the Historic Base]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Rebuild the Base&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Rebuilding the Base, click on Extended Features on the Main Menu of IFs, and then select Rebuild Model Base.&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Rebuilding the Base Case&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
If you have made substantive changes to, say, the regionalization of IFs, you will have to rebuild the base for those changes to take effect. Choose Model Change again from the Main Menu and choose the Rebuild Base sub-option. That may have two sub options – you want Rebuild Base, not Rebuild Historic Base (although if both are there, the regionalization change means that you should return later and also Rebuild the Historic Base). IFs will provide a short synopsis of what rebuilding the base will do and when you would want to do it. It then provides the Rebuild Base window – at this point, you can still change your mind and exit without rebuilding the base:&lt;br /&gt;
&lt;br /&gt;
[[File:Rebuild.gif|center|Rebuilding the Base Case window]]At this point you have changed the regionalization, but have not changed any of the raw country data, so check only the Regionalization box on this screen. Note that IFs will, however, automatically check the issue-area specific boxes, because it needs to create new regional values in each one of those. Normally you will want to rebuild the base case for as long a time period as possible, so leave the Last Year at 2100. When ready, touch the Rebuild Base command button.&lt;br /&gt;
&lt;br /&gt;
Rebuilding the base case will take a while, because all country-specific data must be aggregated into regions. The preprocessor that does this also takes care to check consistency of various data series and to fill holes as necessary.&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Running the Model to Fill the New Base Case&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
When the process is complete, you will be reminded that you must now run the model. Although all initial conditions and parameters have been placed into the base case, all computed values were set at 0 when you rebuilt the base. So Exit to the Main menu, go to Self-Managed Scenario Analysis, choose the Run option, and run the model for the longest time period possible (normally 2100).&lt;br /&gt;
&lt;br /&gt;
Upon completion of the model run, you will have a working file with the computed variables, but the IFsBase.run file will still not include those computed variables. Because you have rebuilt the Base Case, the model will ask you if you want to save the results of your run (still in the Working File) as the new Base Case. Respond affirmatively to save the working file as IFsBase.run. These are the only circumstances under which IFs will allow you to save over the Base Case.&lt;br /&gt;
&lt;br /&gt;
You should now have a Base Case that includes whatever changes you made to the regionalization of the model. You will be able to display any variable in IFs for the change you made.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Rebuild the Historic Base&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
To access Rebuilding the Historic Base, click on Extended Features on the Main Menu of IFs, and then select Rebuild Model Base.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs should only be used if one or more of the following occurs:&lt;br /&gt;
&lt;br /&gt;
*You have lost the base case and cannot retrieve it from an instillation disk&lt;br /&gt;
*You have changed the country-specific data base in access files&lt;br /&gt;
*You have changed the number or membership of model regions&lt;br /&gt;
&lt;br /&gt;
The process of rebuilding the base of IFs will process all of the country specific data in the model and will create group files. These files will then be used to construct a new base. Rebuilding the Historic Base will delete earlier Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After deciding you would like to rebuild the historic base, you will be prompted with a menu that allows you to specify what data sets you would like rebuilt and change the last year. The menu should look similarly to the image below:&lt;br /&gt;
&lt;br /&gt;
[[File:Rebuild1.gif|center|Rebuilding Historic Base window]]Check the boxes you would like to rebuild and click on Rebuild Base.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Model Integration&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To access Model Integration, click on Extended Features on the Main Menu of IFs. This feature is designed to incorporate different software programs into IFs. It is currently under development.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7529</id>
		<title>Use IFs (Download) Data Analysis</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7529"/>
		<updated>2017-07-25T15:37:18Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map: Historic Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The World Map option is a constantly evolving program, with new features added to the option regularly. The World Map is located under the Data Analysis option on the Main Menu.&lt;br /&gt;
&lt;br /&gt;
The main function of the World Map is to display data in a visually dramatic format. Instead of representing country-related forecasts as lines in a&amp;amp;nbsp;&#039;&#039;&#039;graph&#039;&#039;&#039;, or columns in a&amp;amp;nbsp;&#039;&#039;&#039;table&#039;&#039;&#039;, the user is able to view the forecasts as shades of color imposed on a map of the world.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is Display Options. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays. The layers that the user can add include infrastructure, such as roads, railways, and piplines, and environmental, including options such as rivers and forest cover. The user is also able to remove all or specified layers.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath menu options.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
*&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
*&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
*&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
*&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computerclipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map Movie&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;World Map Movie&#039;&#039;&#039;&amp;amp;nbsp;is accessible in two locations in IFs. The first is under the&amp;amp;nbsp;&#039;&#039;&#039;Data Analysis&#039;&#039;&#039;&amp;amp;nbsp;heading on the main IFs screen. The second is under Specialized Display, which is a sub-heading of the Display heading on the Main Menu. The World Map Movie found under the Data Analysis heading deals with historic data, while the World Map Movie found under the Specialized Display heading deals with forecasted data. Selecting the World Map Movie allows the user to display on a map of the world the changes in selected variables over time in all of the countries for which IFs has data. This section describes how to use the various options to tailor the movie to the userpreferences.&lt;br /&gt;
&lt;br /&gt;
After selecting World Map Movie, the dialog box pictured below appears on the userscreen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map1.gif|center|World Map Movie options]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Choose Variables and Years&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Variables&#039;&#039;&#039;: allows user to select from the entire database of variables in IFs for the Historic World Map Movie. The forecasted World Map Movie includes a more limited database of variables from which to choose.&lt;br /&gt;
*&#039;&#039;&#039;Start Year&#039;&#039;&#039;: Enter the year from which the movie will begin.&lt;br /&gt;
*&#039;&#039;&#039;End Year&#039;&#039;&#039;: Enter in the year with which the movie will end.&lt;br /&gt;
*&#039;&#039;&#039;Filter&#039;&#039;&#039;: User can set the filter from 1% to 100%. This feature sets a minimum value for a portion of the data to be displayed in a given year.&lt;br /&gt;
*&#039;&#039;&#039;Category&#039;&#039;&#039;: Can be set from 1 to 16. Determines the number of categories to divide the values into.&lt;br /&gt;
*&#039;&#039;&#039;Constant/Variable Legend&#039;&#039;&#039;: Selecting the constant function will keep the numbers and measurements in the individual categories constant. The numbers and measurements will change over time if the variable legend is selected.&lt;br /&gt;
*&#039;&#039;&#039;Display Type&#039;&#039;&#039;: When Constant Legend is selected, two options will appear under display type: equal interval and equal count. The equal interval function divides the values equally between categories, with the interval calculated by the equation (highest value-lowest value/number of categories= interval width). The equal count function distributes the number of countries equally between the selected of number of categories. When Variable Legend is selected, a third option becomes available: equal match. If equal match is selected, legend values are assigned to each value uniquely. If there are not enough categories to represent each value, the countries that do not have the selected values are represented as blank.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Controlling Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Automatic&#039;&#039;&#039;: When deselected, the user scrolls through the years of the movie manually. When selected, the movie will automatically play the start year to the end year.&lt;br /&gt;
*&#039;&#039;&#039;World/Country&#039;&#039;&#039;: This toggle switch is available only under the Historic World Map Movie. It allows the user to view a movie of changes of the selected variable across the world or, when country is selected, to view a movie of the change in a variable across regions in a country. Three countries are available to the user to select: China, India, and Mexico.&lt;br /&gt;
*&#039;&#039;&#039;Create Movie file&#039;&#039;&#039;: This toggle switch allows the user to save the movie created. When the playing of the movie is complete, a prompt appears which allows the user to name and save the movie file. The saved movie file is available in Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
After selecting Start, the dialogue box will close, and the World Map as pictured below (or similar to it) will appear. This section describes what the user is viewing, and how to manipulate the functions at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map3.gif|center|Example of World Map Movie display]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Playing Movie for Historic Data&amp;lt;/span&amp;gt;&amp;amp;nbsp; ==&lt;br /&gt;
&lt;br /&gt;
The upper left portion of the screen lists whether the movie is showing a variable or constant legend and across which period of time. Underneath this information is the number of categories and the corresponding color for each category, and the numerical range for each category.&lt;br /&gt;
&lt;br /&gt;
The main portion of the screen is the world map, divided into all countries for which IFs has data. The various shadings of the countries correspond to the various shading of the categories listed in the map legend. By right-clicking on the world map, the user is able to copy the map, zoom in on a particular location of the map, zoom out, or to reset the map to its original point of view.&lt;br /&gt;
&lt;br /&gt;
The bottom section of the screen, from left to right, lists the variable displayed by the map, with the start year shown and the level of the filter. Next is the selected display type. The four buttons to the right of the display type allow the user to zoom in, zoom out, pan, and show the full extent of the world map. The first two buttons allow the user to zoom in on or zoom out from the area under which the cursor is located, while the full extent option resets the view of the world to the original perspective. The pan button allows the user to pan across the world by clicking on different parts of the map, which effectively pans across the world by re-centering the map on the area selected, after having zoomed in or zoomed, without zooming in or out any further. The next set of buttons allows the user to play or pause the movie, and to adjust the speed at which the movie will play. Next is a toggle switch which, when selected, makes the movie play automatically; when the switch is not selected, the user is able to advance the year displayed on the map or to go over previous years.&lt;br /&gt;
&lt;br /&gt;
If the user selected “Create Movie File” during the setup phase, a dialogue box will appear after the movie is finished playing that prompts the user to provide a name and a place to save the movie file. The program will alert the user if the .avi file is successfully created and saved. To review the saved movie file, go to Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Time (Longitudinal Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Time.gif|center|Variables across time window]]&lt;br /&gt;
&lt;br /&gt;
This screen looks much like others you have seen. One difference is that you must select a single or a small set of countries for your longitudinal analysis. You can look at a variable over time (using time as the independent variable), or you can treat time as points on the graph and look at the relationship between two variables.&lt;br /&gt;
&lt;br /&gt;
Pick a variable such as AIDDon%GNI (aid donations as a percent of Gross National Income, the successor concept to Gross National Product). Using the screen that comes up when you touch Select Countries, pick the United States as a donor country. Then Exit back to the screen for analysis over time and Plot the result. You will see the decline in U.S. aid commitment over time.&lt;br /&gt;
&lt;br /&gt;
On this particular plot, and dependent on the version of the model you are using, you may see values for Earliest and MostRecent. These values have been entered into the data file so that users can have available; for example, the most recent value of a variable for all countries, regardless of whether that value comes from 2000, 2001, or 2005. Most recent (and earliest) values are especially useful for cross-sectional analysis and you may or may not want them on your longitudinal&amp;amp;nbsp;[[General_Display_Options#Line_Graph,_Bar_Graph,_Scatter,_Etc.|graph]].&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[[Computations|Computations]]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
Exploration of maps, cross-sectional and longitudinal relationships, and relationships computed for IFs can give you much information about the apparent relationships among a wide range of global development indicators. Even if you never used IFs for forecasting, this data analysis capacity could significantly enhance your understanding of the world.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Countries (Cross-Sectional Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Country.gif|center|Variables across countries window]]&lt;br /&gt;
&lt;br /&gt;
The menu of Analyze Across Countries is dominated by the Select Variable and Data Table. From this list, users are able to select from all of the data tables that underpin the functioning of IFs.&lt;br /&gt;
&lt;br /&gt;
Note that the Select Variable and Data Table list box includes many variables that do not exist, or do not have the same names, in the IFs model. These are from the data base. When possible, data were gathered for many historic years, in order to provide the ability to analyze across time (longitudinal analysis, described later) as well as across countries at a given point in time (cross-sectional analysis). When you select a variable name for which data from more than one year is available, you will be asked to specify a year.&lt;br /&gt;
&lt;br /&gt;
To do a cross-sectional analysis, specify a dependent variable (a variable you want to understand causes of) and one or more independent variables (the possible causes of change in the dependent variable). For instance, pick life expectancy (LifExp – SocioPolitical (Life expectancy at birth) - years) as the dependent variable. Many relationships in IFs treat Gross Domestic Product (GDP) per capita at purchasing power parity as an independent variable (GDP2000PCPPP – Economic (GDP per capita (PPP)) – 2000 PPP$). Click GDP2000PCPPP in the Select Variable list box. You will then have to choose a year. For this example, choose the year 2000. Notice that GDP2000PCPPP(2000) is then shown as the Independent 1 Variable. Click the Plot button to access the display of these variables.&lt;br /&gt;
&lt;br /&gt;
An additional feature of the Cross-Sectional Analysis is the ability to look more closely at the data set in which a user might be interested. Left-click on any variable and a small window with two options will appear: Select and Data Information. Click Select to choose that variable. Click Data Information in order to access detailed information as to the scope, availability and properties of the data set in question.&lt;br /&gt;
&lt;br /&gt;
At the bottom of the dialogue box is a drop-down menu with the title&amp;amp;nbsp;[[Source_File|Source File]]. Choosing different source files allows the user to view and experiment with data for a small number of countries at the provincial level.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Cross-Sectional Analysis Extended Features&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These features can be accessed through&amp;amp;nbsp;[[Use_IFs_(Download)_Data_Analysis#Analyze_Across_Countries_(Cross-Sectional_Analysis)|Cross-Sectional Analysis]]&amp;amp;nbsp;from Data Analysis on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Extended Option.&#039;&#039;&#039;&amp;amp;nbsp;When you use the input line for independent or dependent variable selection, it is also possible to compute a variable as a simple function of two or more other variables (e.g. as the sum, difference, quotient, or product of two other variables).&lt;br /&gt;
&lt;br /&gt;
Now touch the Plot button to create a scatter plot showing the relationship between the two selected variables for as many countries as exist in the data set. You will see that life expectancy increases rapidly as GDP per capita rises. The scatter plot may be sufficient for many users of IFs. You can print the scatter plot or save it for other analysis or for use in other applications.&lt;br /&gt;
&lt;br /&gt;
Some users, however, will want to proceed further and to describe the relationship between the two variables with an equation. If you have Microsoft Excel available on your computer, you can do this by touching the Excel button from the Scatter plot. That button actually creates a link with Excel and carries the scatter plot (with supporting data) to Excel for further analysis.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat1.gif|center|Example of Scatter plot]]Excel opens up many additional features for your use that can be described in more detail using Excel’s Help menu. But let’s walk through the process of fitting a line and associated equation to the data (important for the next Lesson). First, maximize the Excel screen by using the maximize button in the upper right hand corner of the window (the icon of a single large window).&lt;br /&gt;
&lt;br /&gt;
Then click anywhere on the graph to activate it. That allows you then to right-click on various components of the graph in order to edit those components. For example, right-click on the straight line that Excel has fit to the data. You will see a small pop-up menu with a couple of options. Select the Format Trendline option and you will see the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat2.gif|center|Trendline option window]]Choose the Type tab and select the logarithmic trend/regression type for a better fit.&lt;br /&gt;
&lt;br /&gt;
Then choose the Options tab for additional choices including checking boxes for &amp;quot;Display Equation on Chart&amp;quot; and &amp;quot;Display R-Squared Value on Chart.&amp;quot; Although both options are checked, the equation and R-Squared are sometimes not initially visible on the chart because they are not placed properly when you open Excel (it depends on the variables you plot). If they are not visible, turn the options both off, close the Format Trendline window, right-click on the line, select again the Format Trendline option, and again select the Options folder. Turn the Display Equation and Display R-Squared options back on and exit from the Format Trendline window again. You should now see the equation and r-squared someplace on the graph and can drag them to a better location, nearer the intersection of the two axis.&lt;br /&gt;
&lt;br /&gt;
If you now right-click on the dependent or y-axis, you will see a small pop-up menu with several options. Choose the format axis option and the following window will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Feat3.gif|center|Axis setting window]]Under the Scale tab you will find maximum value, minimum value, and other settings. Often you will find it very useful to reset maximum or minimum values. Try, for example, setting the minimum on the y-axis to 0 and the maximum to 100.&lt;br /&gt;
&lt;br /&gt;
There is much more that you can do with Excel, including copying the figure you have just created and incorporating it into a word processing file. Experiment.&lt;br /&gt;
&lt;br /&gt;
Exit from Excel (no need to save the file unless you want to), and click on Continue to move from the Scatterplot back to the Select Variables to Analyze Across Countries window (reproduced near the top of this lesson).&lt;br /&gt;
&lt;br /&gt;
Although the introduction of a control variable works helps in looking at relationships involving up to three variables (dependent, independent, and control), it is possible to examine relationships involving as many as five independent variables (see again the IFs window shown earlier on analyzing variables across countries). The key to this is selection of the Statistics option that you can see at the bottom of that window (next to the Plot button). After selecting a dependent variable and as many as 5 independent variables, touch the Statistics button. That will display the set of transformation options.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat4.gif|center|Transformation options window]]The transformation options allow you to apply transformations to your dependent and/or independent variables, just as you saw earlier in Excel that a logarithmic transformation of GDP per capita helped explain life expectancy better. Choose here again the logarithmic transformation of GDP per capita and then select the button Compute and Show Statistics. That will produce the following window showing statistics about the relationships among these three variables. These statistics will not be explained here – please see a standard statistics textbook.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat5.gif|center|Statistics options window]]&#039;&#039;&#039;Computed Functions.&#039;&#039;&#039;&amp;amp;nbsp;Click on the sub-option for computed functions to obtain the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat6.gif|center|Computed functions window]]Many two-variable relationships have been computed within IFs using the cross-sectional analysis capabilities described earlier. For instance, relationships have often been computed for the same two variables at different points in time to gain insight about how the cross-sectional relationships have changed over time.&lt;br /&gt;
&lt;br /&gt;
Click the Extend List box in the window above to see the list of computed functions more clearly. Then scroll down until you see GDP/Capita (PPP) Versus Life Expectancy (1962). Because of data availability this was the earliest relationship computed between the two variables. Notice that other relationships have been computed at intervals. Holding the control (Ctrl) button down click on the relationships between those two variables for 1962, 1980, and 1995. All three should be high-lighted and therefore selected. Now click on the Draw Graph option to create a graph that contains all three.&lt;br /&gt;
&lt;br /&gt;
Note that at low levels of GDP per capita at PPP (in constant dollars over time) the life expectancy has generally gone up. In other words, countries have succeeded in raising life expectancy even at low levels of GDP per capita. Why? It could be some combination of improved medical technology and of improved health policy. In any case, the shift in the relationship over time suggests the value of multi-variate analysis of the relationship, not just bi-variate.&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[[Computations|Computations]]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Analyze Across Countries (Scattergram)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This section describes how to use the various features on the Scattergram, which appears after clicking the Plot button in the Analyze Across Countries (Cross-Sectional) option. The descriptions begin with the features found in the upper left-hand corner of the screen and ends with the features on the right of the screen.&amp;amp;nbsp;[[File:Scatter.gif|center|Example of scattergram]]&lt;br /&gt;
&lt;br /&gt;
Clicking on Continue returns the user to the previous menu, while clicking on Save provides options to save the data as a graph or as values.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Excel&#039;&#039;&#039;&amp;amp;nbsp;option will export this data to an Excel spreadsheet.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Labels&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to change the labels on the graph. The user can choose to display the full names of the countries or the abbreviations of the names. The user can change the labels of the x- and y-axes, the title, and the subtitle of the graph. The user can also choose to display certain data points and labels and not others by clicking on the Select Points and Labels option. After clicking on Select Points and Labels, a dialogue box appears with a list of all data points and corresponding labels. Next, after choosing which data and labels to display, click Save. The graph should now only display the selected labels and data points.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to access various third dimension display options. One of these options is the Bubble Display feature, which displays the ’ of a given countrypopulation or Gross Domestic Product and facilitates comparison with other countries. This feature can be used to display either the dependent or one of the independent variables. Additionally, the user can change the geographic units that are displayed from Countries to Groups or Geographic Lists. Notice, however, that even when countries are displayed, they are colored according to regions. Click on Define Colors for G-Lists for a key to the various color-groupings. To change the color-grouping method, select a new region from the drop-down menu in the Define Colors option. Then click on Initialize Colors. The colors should now change according to the new grouping method.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Dynamic&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to create a movie of the interaction of these variables over time. There are two types of movies that the user can view: the first type traces the data points or the dots’ over time, while the second type simply shows the location of the various data points at a given point in time. To view a movie, first click on Display Dynamic and then select the Tracing Mode option. To label only certain or all years, click on Label Years. Click again on Display Dynamic, and then Show Movie, either with tracing on or off. Additionally, the user can display change through time by clicking on the Previous and Next buttons at the bottom of this display. Check Save Movie at the bottom of the screen to review the movie in the future. The movie will be saved under Stored Map Movie, which is located under Specialized Display.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to fit a line to the graph. To remove the line, click on No Regression.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7528</id>
		<title>Use IFs (Download) Data Analysis</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7528"/>
		<updated>2017-07-25T15:35:32Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
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&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map: Historic Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The World Map option is a constantly evolving program, with new features added to the option regularly. The World Map is located under the Data Analysis option on the Main Menu.&lt;br /&gt;
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The main function of the World Map is to display data in a visually dramatic format. Instead of representing country-related forecasts as lines in a&amp;amp;nbsp;&#039;&#039;&#039;graph&#039;&#039;&#039;, or columns in a&amp;amp;nbsp;&#039;&#039;&#039;table&#039;&#039;&#039;, the user is able to view the forecasts as shades of color imposed on a map of the world.&lt;br /&gt;
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A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
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Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
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Another feature of this version of the map is Display Options. The following options can be found by selecting this option.&lt;br /&gt;
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*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays. The layers that the user can add include infrastructure, such as roads, railways, and piplines, and environmental, including options such as rivers and forest cover. The user is also able to remove all or specified layers.&lt;br /&gt;
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Another feature of the map is the collection of different buttons located directly beneath menu options.&lt;br /&gt;
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*&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
*&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
*&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
*&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
*&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computerclipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
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Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map Movie&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;World Map Movie&#039;&#039;&#039;&amp;amp;nbsp;is accessible in two locations in IFs. The first is under the&amp;amp;nbsp;&#039;&#039;&#039;Data Analysis&#039;&#039;&#039;&amp;amp;nbsp;heading on the main IFs screen. The second is under Specialized Display, which is a sub-heading of the Display heading on the Main Menu. The World Map Movie found under the Data Analysis heading deals with historic data, while the World Map Movie found under the Specialized Display heading deals with forecasted data. Selecting the World Map Movie allows the user to display on a map of the world the changes in selected variables over time in all of the countries for which IFs has data. This section describes how to use the various options to tailor the movie to the userpreferences.&lt;br /&gt;
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After selecting World Map Movie, the dialog box pictured below appears on the userscreen.&lt;br /&gt;
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[[File:Map1.gif|center|World Map Movie options]]&lt;br /&gt;
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&#039;&#039;&#039;Choose Variables and Years&#039;&#039;&#039;&lt;br /&gt;
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*&#039;&#039;&#039;Variables&#039;&#039;&#039;: allows user to select from the entire database of variables in IFs for the Historic World Map Movie. The forecasted World Map Movie includes a more limited database of variables from which to choose.&lt;br /&gt;
*&#039;&#039;&#039;Start Year&#039;&#039;&#039;: Enter the year from which the movie will begin.&lt;br /&gt;
*&#039;&#039;&#039;End Year&#039;&#039;&#039;: Enter in the year with which the movie will end.&lt;br /&gt;
*&#039;&#039;&#039;Filter&#039;&#039;&#039;: User can set the filter from 1% to 100%. This feature sets a minimum value for a portion of the data to be displayed in a given year.&lt;br /&gt;
*&#039;&#039;&#039;Category&#039;&#039;&#039;: Can be set from 1 to 16. Determines the number of categories to divide the values into.&lt;br /&gt;
*&#039;&#039;&#039;Constant/Variable Legend&#039;&#039;&#039;: Selecting the constant function will keep the numbers and measurements in the individual categories constant. The numbers and measurements will change over time if the variable legend is selected.&lt;br /&gt;
*&#039;&#039;&#039;Display Type&#039;&#039;&#039;: When Constant Legend is selected, two options will appear under display type: equal interval and equal count. The equal interval function divides the values equally between categories, with the interval calculated by the equation (highest value-lowest value/number of categories= interval width). The equal count function distributes the number of countries equally between the selected of number of categories. When Variable Legend is selected, a third option becomes available: equal match. If equal match is selected, legend values are assigned to each value uniquely. If there are not enough categories to represent each value, the countries that do not have the selected values are represented as blank.&lt;br /&gt;
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&#039;&#039;&#039;Controlling Options&#039;&#039;&#039;&lt;br /&gt;
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*&#039;&#039;&#039;Automatic&#039;&#039;&#039;: When deselected, the user scrolls through the years of the movie manually. When selected, the movie will automatically play the start year to the end year.&lt;br /&gt;
*&#039;&#039;&#039;World/Country&#039;&#039;&#039;: This toggle switch is available only under the Historic World Map Movie. It allows the user to view a movie of changes of the selected variable across the world or, when country is selected, to view a movie of the change in a variable across regions in a country. Three countries are available to the user to select: China, India, and Mexico.&lt;br /&gt;
*&#039;&#039;&#039;Create Movie file&#039;&#039;&#039;: This toggle switch allows the user to save the movie created. When the playing of the movie is complete, a prompt appears which allows the user to name and save the movie file. The saved movie file is available in Stored Map Movie.&lt;br /&gt;
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After selecting Start, the dialogue box will close, and the World Map as pictured below (or similar to it) will appear. This section describes what the user is viewing, and how to manipulate the functions at the bottom of the screen.&lt;br /&gt;
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[[File:Map3.gif|center|Example of World Map Movie display]]&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Playing Movie for Historic Data&amp;lt;/span&amp;gt;&amp;amp;nbsp; ==&lt;br /&gt;
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The upper left portion of the screen lists whether the movie is showing a variable or constant legend and across which period of time. Underneath this information is the number of categories and the corresponding color for each category, and the numerical range for each category.&lt;br /&gt;
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The main portion of the screen is the world map, divided into all countries for which IFs has data. The various shadings of the countries correspond to the various shading of the categories listed in the map legend. By right-clicking on the world map, the user is able to copy the map, zoom in on a particular location of the map, zoom out, or to reset the map to its original point of view.&lt;br /&gt;
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The bottom section of the screen, from left to right, lists the variable displayed by the map, with the start year shown and the level of the filter. Next is the selected display type. The four buttons to the right of the display type allow the user to zoom in, zoom out, pan, and show the full extent of the world map. The first two buttons allow the user to zoom in on or zoom out from the area under which the cursor is located, while the full extent option resets the view of the world to the original perspective. The pan button allows the user to pan across the world by clicking on different parts of the map, which effectively pans across the world by re-centering the map on the area selected, after having zoomed in or zoomed, without zooming in or out any further. The next set of buttons allows the user to play or pause the movie, and to adjust the speed at which the movie will play. Next is a toggle switch which, when selected, makes the movie play automatically; when the switch is not selected, the user is able to advance the year displayed on the map or to go over previous years.&lt;br /&gt;
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If the user selected “Create Movie File” during the setup phase, a dialogue box will appear after the movie is finished playing that prompts the user to provide a name and a place to save the movie file. The program will alert the user if the .avi file is successfully created and saved. To review the saved movie file, go to Stored Map Movie.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Time (Longitudinal Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
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[[File:Time.gif|center|Variables across time window]]&lt;br /&gt;
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This screen looks much like others you have seen. One difference is that you must select a single or a small set of countries for your longitudinal analysis. You can look at a variable over time (using time as the independent variable), or you can treat time as points on the graph and look at the relationship between two variables.&lt;br /&gt;
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Pick a variable such as AIDDon%GNI (aid donations as a percent of Gross National Income, the successor concept to Gross National Product). Using the screen that comes up when you touch Select Countries, pick the United States as a donor country. Then Exit back to the screen for analysis over time and Plot the result. You will see the decline in U.S. aid commitment over time.&lt;br /&gt;
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On this particular plot, and dependent on the version of the model you are using, you may see values for Earliest and MostRecent. These values have been entered into the data file so that users can have available; for example, the most recent value of a variable for all countries, regardless of whether that value comes from 2000, 2001, or 2005. Most recent (and earliest) values are especially useful for cross-sectional analysis and you may or may not want them on your longitudinal&amp;amp;nbsp;[[General_Display_Options#Line_Graph,_Bar_Graph,_Scatter,_Etc.|graph]].&lt;br /&gt;
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Another feature of this section of IFs is the&amp;amp;nbsp;[[Computations|Computations]]&amp;amp;nbsp;button.&lt;br /&gt;
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Exploration of maps, cross-sectional and longitudinal relationships, and relationships computed for IFs can give you much information about the apparent relationships among a wide range of global development indicators. Even if you never used IFs for forecasting, this data analysis capacity could significantly enhance your understanding of the world.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Countries (Cross-Sectional Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
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[[File:Country.gif|center|Variables across countries window]]&lt;br /&gt;
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The menu of Analyze Across Countries is dominated by the Select Variable and Data Table. From this list, users are able to select from all of the data tables that underpin the functioning of IFs.&lt;br /&gt;
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Note that the Select Variable and Data Table list box includes many variables that do not exist, or do not have the same names, in the IFs model. These are from the data base. When possible, data were gathered for many historic years, in order to provide the ability to analyze across time (longitudinal analysis, described later) as well as across countries at a given point in time (cross-sectional analysis). When you select a variable name for which data from more than one year is available, you will be asked to specify a year.&lt;br /&gt;
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To do a cross-sectional analysis, specify a dependent variable (a variable you want to understand causes of) and one or more independent variables (the possible causes of change in the dependent variable). For instance, pick life expectancy (LifExp – SocioPolitical (Life expectancy at birth) - years) as the dependent variable. Many relationships in IFs treat Gross Domestic Product (GDP) per capita at purchasing power parity as an independent variable (GDP2000PCPPP – Economic (GDP per capita (PPP)) – 2000 PPP$). Click GDP2000PCPPP in the Select Variable list box. You will then have to choose a year. For this example, choose the year 2000. Notice that GDP2000PCPPP(2000) is then shown as the Independent 1 Variable. Click the Plot button to access the display of these variables.&lt;br /&gt;
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An additional feature of the Cross-Sectional Analysis is the ability to look more closely at the data set in which a user might be interested. Left-click on any variable and a small window with two options will appear: Select and Data Information. Click Select to choose that variable. Click Data Information in order to access detailed information as to the scope, availability and properties of the data set in question.&lt;br /&gt;
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At the bottom of the dialogue box is a drop-down menu with the title&amp;amp;nbsp;[[Source_File|Source File]]. Choosing different source files allows the user to view and experiment with data for a small number of countries at the provincial level.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Cross-Sectional Analysis Extended Features&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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These features can be accessed through&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/index.html Cross-Sectional Analysis]&amp;amp;nbsp;from Data Analysis on the Main Menu of IFs.&lt;br /&gt;
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&#039;&#039;&#039;Extended Option.&#039;&#039;&#039;&amp;amp;nbsp;When you use the input line for independent or dependent variable selection, it is also possible to compute a variable as a simple function of two or more other variables (e.g. as the sum, difference, quotient, or product of two other variables).&lt;br /&gt;
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Now touch the Plot button to create a scatter plot showing the relationship between the two selected variables for as many countries as exist in the data set. You will see that life expectancy increases rapidly as GDP per capita rises. The scatter plot may be sufficient for many users of IFs. You can print the scatter plot or save it for other analysis or for use in other applications.&lt;br /&gt;
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Some users, however, will want to proceed further and to describe the relationship between the two variables with an equation. If you have Microsoft Excel available on your computer, you can do this by touching the Excel button from the Scatter plot. That button actually creates a link with Excel and carries the scatter plot (with supporting data) to Excel for further analysis.&lt;br /&gt;
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[[File:Feat1.gif|center|Example of Scatter plot]]Excel opens up many additional features for your use that can be described in more detail using Excel’s Help menu. But let’s walk through the process of fitting a line and associated equation to the data (important for the next Lesson). First, maximize the Excel screen by using the maximize button in the upper right hand corner of the window (the icon of a single large window).&lt;br /&gt;
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Then click anywhere on the graph to activate it. That allows you then to right-click on various components of the graph in order to edit those components. For example, right-click on the straight line that Excel has fit to the data. You will see a small pop-up menu with a couple of options. Select the Format Trendline option and you will see the following window.&lt;br /&gt;
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[[File:Feat2.gif|center|Trendline option window]]Choose the Type tab and select the logarithmic trend/regression type for a better fit.&lt;br /&gt;
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Then choose the Options tab for additional choices including checking boxes for &amp;quot;Display Equation on Chart&amp;quot; and &amp;quot;Display R-Squared Value on Chart.&amp;quot; Although both options are checked, the equation and R-Squared are sometimes not initially visible on the chart because they are not placed properly when you open Excel (it depends on the variables you plot). If they are not visible, turn the options both off, close the Format Trendline window, right-click on the line, select again the Format Trendline option, and again select the Options folder. Turn the Display Equation and Display R-Squared options back on and exit from the Format Trendline window again. You should now see the equation and r-squared someplace on the graph and can drag them to a better location, nearer the intersection of the two axis.&lt;br /&gt;
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If you now right-click on the dependent or y-axis, you will see a small pop-up menu with several options. Choose the format axis option and the following window will appear:&lt;br /&gt;
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[[File:Feat3.gif|center|Axis setting window]]Under the Scale tab you will find maximum value, minimum value, and other settings. Often you will find it very useful to reset maximum or minimum values. Try, for example, setting the minimum on the y-axis to 0 and the maximum to 100.&lt;br /&gt;
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There is much more that you can do with Excel, including copying the figure you have just created and incorporating it into a word processing file. Experiment.&lt;br /&gt;
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Exit from Excel (no need to save the file unless you want to), and click on Continue to move from the Scatterplot back to the Select Variables to Analyze Across Countries window (reproduced near the top of this lesson).&lt;br /&gt;
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Although the introduction of a control variable works helps in looking at relationships involving up to three variables (dependent, independent, and control), it is possible to examine relationships involving as many as five independent variables (see again the IFs window shown earlier on analyzing variables across countries). The key to this is selection of the Statistics option that you can see at the bottom of that window (next to the Plot button). After selecting a dependent variable and as many as 5 independent variables, touch the Statistics button. That will display the set of transformation options.&lt;br /&gt;
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[[File:Feat4.gif|center|Transformation options window]]The transformation options allow you to apply transformations to your dependent and/or independent variables, just as you saw earlier in Excel that a logarithmic transformation of GDP per capita helped explain life expectancy better. Choose here again the logarithmic transformation of GDP per capita and then select the button Compute and Show Statistics. That will produce the following window showing statistics about the relationships among these three variables. These statistics will not be explained here – please see a standard statistics textbook.&lt;br /&gt;
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[[File:Feat5.gif|center|Statistics options window]]&#039;&#039;&#039;Computed Functions.&#039;&#039;&#039;&amp;amp;nbsp;Click on the sub-option for computed functions to obtain the following window.&lt;br /&gt;
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[[File:Feat6.gif|center|Computed functions window]]Many two-variable relationships have been computed within IFs using the cross-sectional analysis capabilities described earlier. For instance, relationships have often been computed for the same two variables at different points in time to gain insight about how the cross-sectional relationships have changed over time.&lt;br /&gt;
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Click the Extend List box in the window above to see the list of computed functions more clearly. Then scroll down until you see GDP/Capita (PPP) Versus Life Expectancy (1962). Because of data availability this was the earliest relationship computed between the two variables. Notice that other relationships have been computed at intervals. Holding the control (Ctrl) button down click on the relationships between those two variables for 1962, 1980, and 1995. All three should be high-lighted and therefore selected. Now click on the Draw Graph option to create a graph that contains all three.&lt;br /&gt;
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Note that at low levels of GDP per capita at PPP (in constant dollars over time) the life expectancy has generally gone up. In other words, countries have succeeded in raising life expectancy even at low levels of GDP per capita. Why? It could be some combination of improved medical technology and of improved health policy. In any case, the shift in the relationship over time suggests the value of multi-variate analysis of the relationship, not just bi-variate.&lt;br /&gt;
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Another feature of this section of IFs is the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/computations/computations.html Computations]&amp;amp;nbsp;button.&lt;br /&gt;
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== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Analyze Across Countries (Scattergram)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
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This section describes how to use the various features on the Scattergram, which appears after clicking the Plot button in the Analyze Across Countries (Cross-Sectional) option. The descriptions begin with the features found in the upper left-hand corner of the screen and ends with the features on the right of the screen.&amp;amp;nbsp;[[File:Scatter.gif|center|Example of scattergram]]&lt;br /&gt;
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Clicking on Continue returns the user to the previous menu, while clicking on Save provides options to save the data as a graph or as values.&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;Excel&#039;&#039;&#039;&amp;amp;nbsp;option will export this data to an Excel spreadsheet.&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;Display Labels&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to change the labels on the graph. The user can choose to display the full names of the countries or the abbreviations of the names. The user can change the labels of the x- and y-axes, the title, and the subtitle of the graph. The user can also choose to display certain data points and labels and not others by clicking on the Select Points and Labels option. After clicking on Select Points and Labels, a dialogue box appears with a list of all data points and corresponding labels. Next, after choosing which data and labels to display, click Save. The graph should now only display the selected labels and data points.&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to access various third dimension display options. One of these options is the Bubble Display feature, which displays the ’ of a given countrypopulation or Gross Domestic Product and facilitates comparison with other countries. This feature can be used to display either the dependent or one of the independent variables. Additionally, the user can change the geographic units that are displayed from Countries to Groups or Geographic Lists. Notice, however, that even when countries are displayed, they are colored according to regions. Click on Define Colors for G-Lists for a key to the various color-groupings. To change the color-grouping method, select a new region from the drop-down menu in the Define Colors option. Then click on Initialize Colors. The colors should now change according to the new grouping method.&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;Display Dynamic&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to create a movie of the interaction of these variables over time. There are two types of movies that the user can view: the first type traces the data points or the dots’ over time, while the second type simply shows the location of the various data points at a given point in time. To view a movie, first click on Display Dynamic and then select the Tracing Mode option. To label only certain or all years, click on Label Years. Click again on Display Dynamic, and then Show Movie, either with tracing on or off. Additionally, the user can display change through time by clicking on the Previous and Next buttons at the bottom of this display. Check Save Movie at the bottom of the screen to review the movie in the future. The movie will be saved under Stored Map Movie, which is located under Specialized Display.&lt;br /&gt;
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The&amp;amp;nbsp;&#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to fit a line to the graph. To remove the line, click on No Regression.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7527</id>
		<title>Use IFs (Download) Data Analysis</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7527"/>
		<updated>2017-07-25T15:34:34Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map: Historic Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The World Map option is a constantly evolving program, with new features added to the option regularly. The World Map is located under the Data Analysis option on the Main Menu.&lt;br /&gt;
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The main function of the World Map is to display data in a visually dramatic format. Instead of representing country-related forecasts as lines in a&amp;amp;nbsp;&#039;&#039;&#039;graph&#039;&#039;&#039;, or columns in a&amp;amp;nbsp;&#039;&#039;&#039;table&#039;&#039;&#039;, the user is able to view the forecasts as shades of color imposed on a map of the world.&lt;br /&gt;
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A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is Display Options. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays. The layers that the user can add include infrastructure, such as roads, railways, and piplines, and environmental, including options such as rivers and forest cover. The user is also able to remove all or specified layers.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath menu options.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
*&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
*&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
*&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
*&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computerclipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map Movie&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;World Map Movie&#039;&#039;&#039;&amp;amp;nbsp;is accessible in two locations in IFs. The first is under the&amp;amp;nbsp;&#039;&#039;&#039;Data Analysis&#039;&#039;&#039;&amp;amp;nbsp;heading on the main IFs screen. The second is under Specialized Display, which is a sub-heading of the Display heading on the Main Menu. The World Map Movie found under the Data Analysis heading deals with historic data, while the World Map Movie found under the Specialized Display heading deals with forecasted data. Selecting the World Map Movie allows the user to display on a map of the world the changes in selected variables over time in all of the countries for which IFs has data. This section describes how to use the various options to tailor the movie to the userpreferences.&lt;br /&gt;
&lt;br /&gt;
After selecting World Map Movie, the dialog box pictured below appears on the userscreen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map1.gif|center|World Map Movie options]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Choose Variables and Years&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Variables&#039;&#039;&#039;: allows user to select from the entire database of variables in IFs for the Historic World Map Movie. The forecasted World Map Movie includes a more limited database of variables from which to choose.&lt;br /&gt;
*&#039;&#039;&#039;Start Year&#039;&#039;&#039;: Enter the year from which the movie will begin.&lt;br /&gt;
*&#039;&#039;&#039;End Year&#039;&#039;&#039;: Enter in the year with which the movie will end.&lt;br /&gt;
*&#039;&#039;&#039;Filter&#039;&#039;&#039;: User can set the filter from 1% to 100%. This feature sets a minimum value for a portion of the data to be displayed in a given year.&lt;br /&gt;
*&#039;&#039;&#039;Category&#039;&#039;&#039;: Can be set from 1 to 16. Determines the number of categories to divide the values into.&lt;br /&gt;
*&#039;&#039;&#039;Constant/Variable Legend&#039;&#039;&#039;: Selecting the constant function will keep the numbers and measurements in the individual categories constant. The numbers and measurements will change over time if the variable legend is selected.&lt;br /&gt;
*&#039;&#039;&#039;Display Type&#039;&#039;&#039;: When Constant Legend is selected, two options will appear under display type: equal interval and equal count. The equal interval function divides the values equally between categories, with the interval calculated by the equation (highest value-lowest value/number of categories= interval width). The equal count function distributes the number of countries equally between the selected of number of categories. When Variable Legend is selected, a third option becomes available: equal match. If equal match is selected, legend values are assigned to each value uniquely. If there are not enough categories to represent each value, the countries that do not have the selected values are represented as blank.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Controlling Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Automatic&#039;&#039;&#039;: When deselected, the user scrolls through the years of the movie manually. When selected, the movie will automatically play the start year to the end year.&lt;br /&gt;
*&#039;&#039;&#039;World/Country&#039;&#039;&#039;: This toggle switch is available only under the Historic World Map Movie. It allows the user to view a movie of changes of the selected variable across the world or, when country is selected, to view a movie of the change in a variable across regions in a country. Three countries are available to the user to select: China, India, and Mexico.&lt;br /&gt;
*&#039;&#039;&#039;Create Movie file&#039;&#039;&#039;: This toggle switch allows the user to save the movie created. When the playing of the movie is complete, a prompt appears which allows the user to name and save the movie file. The saved movie file is available in Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
After selecting Start, the dialogue box will close, and the World Map as pictured below (or similar to it) will appear. This section describes what the user is viewing, and how to manipulate the functions at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map3.gif|center|Example of World Map Movie display]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Playing Movie for Historic Data&amp;lt;/span&amp;gt;&amp;amp;nbsp; ==&lt;br /&gt;
&lt;br /&gt;
The upper left portion of the screen lists whether the movie is showing a variable or constant legend and across which period of time. Underneath this information is the number of categories and the corresponding color for each category, and the numerical range for each category.&lt;br /&gt;
&lt;br /&gt;
The main portion of the screen is the world map, divided into all countries for which IFs has data. The various shadings of the countries correspond to the various shading of the categories listed in the map legend. By right-clicking on the world map, the user is able to copy the map, zoom in on a particular location of the map, zoom out, or to reset the map to its original point of view.&lt;br /&gt;
&lt;br /&gt;
The bottom section of the screen, from left to right, lists the variable displayed by the map, with the start year shown and the level of the filter. Next is the selected display type. The four buttons to the right of the display type allow the user to zoom in, zoom out, pan, and show the full extent of the world map. The first two buttons allow the user to zoom in on or zoom out from the area under which the cursor is located, while the full extent option resets the view of the world to the original perspective. The pan button allows the user to pan across the world by clicking on different parts of the map, which effectively pans across the world by re-centering the map on the area selected, after having zoomed in or zoomed, without zooming in or out any further. The next set of buttons allows the user to play or pause the movie, and to adjust the speed at which the movie will play. Next is a toggle switch which, when selected, makes the movie play automatically; when the switch is not selected, the user is able to advance the year displayed on the map or to go over previous years.&lt;br /&gt;
&lt;br /&gt;
If the user selected “Create Movie File” during the setup phase, a dialogue box will appear after the movie is finished playing that prompts the user to provide a name and a place to save the movie file. The program will alert the user if the .avi file is successfully created and saved. To review the saved movie file, go to Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Time (Longitudinal Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Time.gif|center|Variables across time window]]&lt;br /&gt;
&lt;br /&gt;
This screen looks much like others you have seen. One difference is that you must select a single or a small set of countries for your longitudinal analysis. You can look at a variable over time (using time as the independent variable), or you can treat time as points on the graph and look at the relationship between two variables.&lt;br /&gt;
&lt;br /&gt;
Pick a variable such as AIDDon%GNI (aid donations as a percent of Gross National Income, the successor concept to Gross National Product). Using the screen that comes up when you touch Select Countries, pick the United States as a donor country. Then Exit back to the screen for analysis over time and Plot the result. You will see the decline in U.S. aid commitment over time.&lt;br /&gt;
&lt;br /&gt;
On this particular plot, and dependent on the version of the model you are using, you may see values for Earliest and MostRecent. These values have been entered into the data file so that users can have available; for example, the most recent value of a variable for all countries, regardless of whether that value comes from 2000, 2001, or 2005. Most recent (and earliest) values are especially useful for cross-sectional analysis and you may or may not want them on your longitudinal&amp;amp;nbsp;[[General_Display_Options#Line_Graph,_Bar_Graph,_Scatter,_Etc.|graph]].&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[[Computations|Computations]]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
Exploration of maps, cross-sectional and longitudinal relationships, and relationships computed for IFs can give you much information about the apparent relationships among a wide range of global development indicators. Even if you never used IFs for forecasting, this data analysis capacity could significantly enhance your understanding of the world.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Countries (Cross-Sectional Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Country.gif|center|Variables across countries window]]&lt;br /&gt;
&lt;br /&gt;
The menu of Analyze Across Countries is dominated by the Select Variable and Data Table. From this list, users are able to select from all of the data tables that underpin the functioning of IFs.&lt;br /&gt;
&lt;br /&gt;
Note that the Select Variable and Data Table list box includes many variables that do not exist, or do not have the same names, in the IFs model. These are from the data base. When possible, data were gathered for many historic years, in order to provide the ability to analyze across time (longitudinal analysis, described later) as well as across countries at a given point in time (cross-sectional analysis). When you select a variable name for which data from more than one year is available, you will be asked to specify a year.&lt;br /&gt;
&lt;br /&gt;
To do a cross-sectional analysis, specify a dependent variable (a variable you want to understand causes of) and one or more independent variables (the possible causes of change in the dependent variable). For instance, pick life expectancy (LifExp – SocioPolitical (Life expectancy at birth) - years) as the dependent variable. Many relationships in IFs treat Gross Domestic Product (GDP) per capita at purchasing power parity as an independent variable (GDP2000PCPPP – Economic (GDP per capita (PPP)) – 2000 PPP$). Click GDP2000PCPPP in the Select Variable list box. You will then have to choose a year. For this example, choose the year 2000. Notice that GDP2000PCPPP(2000) is then shown as the Independent 1 Variable. Click the Plot button to access the display of these variables.&lt;br /&gt;
&lt;br /&gt;
An additional feature of the Cross-Sectional Analysis is the ability to look more closely at the data set in which a user might be interested. Left-click on any variable and a small window with two options will appear: Select and Data Information. Click Select to choose that variable. Click Data Information in order to access detailed information as to the scope, availability and properties of the data set in question.&lt;br /&gt;
&lt;br /&gt;
At the bottom of the dialogue box is a drop-down menu with the title&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/source.html Source File]. Choosing different source files allows the user to view and experiment with data for a small number of countries at the provincial level.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Cross-Sectional Analysis Extended Features&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These features can be accessed through&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/index.html Cross-Sectional Analysis]&amp;amp;nbsp;from Data Analysis on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Extended Option.&#039;&#039;&#039;&amp;amp;nbsp;When you use the input line for independent or dependent variable selection, it is also possible to compute a variable as a simple function of two or more other variables (e.g. as the sum, difference, quotient, or product of two other variables).&lt;br /&gt;
&lt;br /&gt;
Now touch the Plot button to create a scatter plot showing the relationship between the two selected variables for as many countries as exist in the data set. You will see that life expectancy increases rapidly as GDP per capita rises. The scatter plot may be sufficient for many users of IFs. You can print the scatter plot or save it for other analysis or for use in other applications.&lt;br /&gt;
&lt;br /&gt;
Some users, however, will want to proceed further and to describe the relationship between the two variables with an equation. If you have Microsoft Excel available on your computer, you can do this by touching the Excel button from the Scatter plot. That button actually creates a link with Excel and carries the scatter plot (with supporting data) to Excel for further analysis.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat1.gif|center|Example of Scatter plot]]Excel opens up many additional features for your use that can be described in more detail using Excel’s Help menu. But let’s walk through the process of fitting a line and associated equation to the data (important for the next Lesson). First, maximize the Excel screen by using the maximize button in the upper right hand corner of the window (the icon of a single large window).&lt;br /&gt;
&lt;br /&gt;
Then click anywhere on the graph to activate it. That allows you then to right-click on various components of the graph in order to edit those components. For example, right-click on the straight line that Excel has fit to the data. You will see a small pop-up menu with a couple of options. Select the Format Trendline option and you will see the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat2.gif|center|Trendline option window]]Choose the Type tab and select the logarithmic trend/regression type for a better fit.&lt;br /&gt;
&lt;br /&gt;
Then choose the Options tab for additional choices including checking boxes for &amp;quot;Display Equation on Chart&amp;quot; and &amp;quot;Display R-Squared Value on Chart.&amp;quot; Although both options are checked, the equation and R-Squared are sometimes not initially visible on the chart because they are not placed properly when you open Excel (it depends on the variables you plot). If they are not visible, turn the options both off, close the Format Trendline window, right-click on the line, select again the Format Trendline option, and again select the Options folder. Turn the Display Equation and Display R-Squared options back on and exit from the Format Trendline window again. You should now see the equation and r-squared someplace on the graph and can drag them to a better location, nearer the intersection of the two axis.&lt;br /&gt;
&lt;br /&gt;
If you now right-click on the dependent or y-axis, you will see a small pop-up menu with several options. Choose the format axis option and the following window will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Feat3.gif|center|Axis setting window]]Under the Scale tab you will find maximum value, minimum value, and other settings. Often you will find it very useful to reset maximum or minimum values. Try, for example, setting the minimum on the y-axis to 0 and the maximum to 100.&lt;br /&gt;
&lt;br /&gt;
There is much more that you can do with Excel, including copying the figure you have just created and incorporating it into a word processing file. Experiment.&lt;br /&gt;
&lt;br /&gt;
Exit from Excel (no need to save the file unless you want to), and click on Continue to move from the Scatterplot back to the Select Variables to Analyze Across Countries window (reproduced near the top of this lesson).&lt;br /&gt;
&lt;br /&gt;
Although the introduction of a control variable works helps in looking at relationships involving up to three variables (dependent, independent, and control), it is possible to examine relationships involving as many as five independent variables (see again the IFs window shown earlier on analyzing variables across countries). The key to this is selection of the Statistics option that you can see at the bottom of that window (next to the Plot button). After selecting a dependent variable and as many as 5 independent variables, touch the Statistics button. That will display the set of transformation options.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat4.gif|center|Transformation options window]]The transformation options allow you to apply transformations to your dependent and/or independent variables, just as you saw earlier in Excel that a logarithmic transformation of GDP per capita helped explain life expectancy better. Choose here again the logarithmic transformation of GDP per capita and then select the button Compute and Show Statistics. That will produce the following window showing statistics about the relationships among these three variables. These statistics will not be explained here – please see a standard statistics textbook.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat5.gif|center|Statistics options window]]&#039;&#039;&#039;Computed Functions.&#039;&#039;&#039;&amp;amp;nbsp;Click on the sub-option for computed functions to obtain the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat6.gif|center|Computed functions window]]Many two-variable relationships have been computed within IFs using the cross-sectional analysis capabilities described earlier. For instance, relationships have often been computed for the same two variables at different points in time to gain insight about how the cross-sectional relationships have changed over time.&lt;br /&gt;
&lt;br /&gt;
Click the Extend List box in the window above to see the list of computed functions more clearly. Then scroll down until you see GDP/Capita (PPP) Versus Life Expectancy (1962). Because of data availability this was the earliest relationship computed between the two variables. Notice that other relationships have been computed at intervals. Holding the control (Ctrl) button down click on the relationships between those two variables for 1962, 1980, and 1995. All three should be high-lighted and therefore selected. Now click on the Draw Graph option to create a graph that contains all three.&lt;br /&gt;
&lt;br /&gt;
Note that at low levels of GDP per capita at PPP (in constant dollars over time) the life expectancy has generally gone up. In other words, countries have succeeded in raising life expectancy even at low levels of GDP per capita. Why? It could be some combination of improved medical technology and of improved health policy. In any case, the shift in the relationship over time suggests the value of multi-variate analysis of the relationship, not just bi-variate.&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/computations/computations.html Computations]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Analyze Across Countries (Scattergram)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This section describes how to use the various features on the Scattergram, which appears after clicking the Plot button in the Analyze Across Countries (Cross-Sectional) option. The descriptions begin with the features found in the upper left-hand corner of the screen and ends with the features on the right of the screen.&amp;amp;nbsp;[[File:Scatter.gif|center|Example of scattergram]]&lt;br /&gt;
&lt;br /&gt;
Clicking on Continue returns the user to the previous menu, while clicking on Save provides options to save the data as a graph or as values.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Excel&#039;&#039;&#039;&amp;amp;nbsp;option will export this data to an Excel spreadsheet.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Labels&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to change the labels on the graph. The user can choose to display the full names of the countries or the abbreviations of the names. The user can change the labels of the x- and y-axes, the title, and the subtitle of the graph. The user can also choose to display certain data points and labels and not others by clicking on the Select Points and Labels option. After clicking on Select Points and Labels, a dialogue box appears with a list of all data points and corresponding labels. Next, after choosing which data and labels to display, click Save. The graph should now only display the selected labels and data points.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to access various third dimension display options. One of these options is the Bubble Display feature, which displays the ’ of a given countrypopulation or Gross Domestic Product and facilitates comparison with other countries. This feature can be used to display either the dependent or one of the independent variables. Additionally, the user can change the geographic units that are displayed from Countries to Groups or Geographic Lists. Notice, however, that even when countries are displayed, they are colored according to regions. Click on Define Colors for G-Lists for a key to the various color-groupings. To change the color-grouping method, select a new region from the drop-down menu in the Define Colors option. Then click on Initialize Colors. The colors should now change according to the new grouping method.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Dynamic&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to create a movie of the interaction of these variables over time. There are two types of movies that the user can view: the first type traces the data points or the dots’ over time, while the second type simply shows the location of the various data points at a given point in time. To view a movie, first click on Display Dynamic and then select the Tracing Mode option. To label only certain or all years, click on Label Years. Click again on Display Dynamic, and then Show Movie, either with tracing on or off. Additionally, the user can display change through time by clicking on the Previous and Next buttons at the bottom of this display. Check Save Movie at the bottom of the screen to review the movie in the future. The movie will be saved under Stored Map Movie, which is located under Specialized Display.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to fit a line to the graph. To remove the line, click on No Regression.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7526</id>
		<title>Use IFs (Download) Data Analysis</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Use_IFs_(Download)_Data_Analysis&amp;diff=7526"/>
		<updated>2017-07-25T15:29:32Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map: Historic Data&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The World Map option is a constantly evolving program, with new features added to the option regularly. The World Map is located under the Data Analysis option on the Main Menu.&lt;br /&gt;
&lt;br /&gt;
The main function of the World Map is to display data in a visually dramatic format. Instead of representing country-related forecasts as lines in a&amp;amp;nbsp;&#039;&#039;&#039;graph&#039;&#039;&#039;, or columns in a&amp;amp;nbsp;&#039;&#039;&#039;table&#039;&#039;&#039;, the user is able to view the forecasts as shades of color imposed on a map of the world.&lt;br /&gt;
&lt;br /&gt;
A function of the menu of the map feature is&amp;amp;nbsp;&#039;&#039;&#039;Continue&#039;&#039;&#039;&amp;amp;nbsp;button. Use this to exit and return to the previous display screen.&lt;br /&gt;
&lt;br /&gt;
Another menu option is&amp;amp;nbsp;&#039;&#039;&#039;Display Data&#039;&#039;&#039;. If this option is selected, a box will appear that allows users to change the data set that is being displayed. The default data set that is available is the TimeSeries data table. By scrolling through the Data Table, users can select from different data sets. These sets then correspond with a larger list of variables displayed in the Variable Name scroll-down. Below the Variable Name option is the Dimension of Variable which allows users to change the year being displayed. At the top right of this box is the ability to increase the amount of categories displayed as well as switching between Equal Interval or Equal Count. The later option allows users to either display an equal number of countries in one category or numerically equal categories. Finally, at the very bottom of this box, users are able to access the Data Information.&lt;br /&gt;
&lt;br /&gt;
Another feature of this version of the map is Display Options. The following options can be found by selecting this option.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Labels:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option will allow users to place the names of all countries on the map. Removing Labels will take these names away. Users can also change the font of the country names.&lt;br /&gt;
*&#039;&#039;&#039;Colors:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to change the color in which data is displayed.&lt;br /&gt;
*&#039;&#039;&#039;Projection:&#039;&#039;&#039;&amp;amp;nbsp;By selecting this option, users have the ability to display the map differently.&lt;br /&gt;
*&#039;&#039;&#039;Layers:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option presents users with the ability to add different layers on top of the map to more clearly see how geographic changes may or may not play a role in different data displays. The layers that the user can add include infrastructure, such as roads, railways, and piplines, and environmental, including options such as rivers and forest cover. The user is also able to remove all or specified layers.&lt;br /&gt;
&lt;br /&gt;
Another feature of the map is the collection of different buttons located directly beneath menu options.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a plus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom in on a specific part of the world. Simply highlight the button, move your mouse over the part of the world you would like to more closely look at and left click.&lt;br /&gt;
*&#039;&#039;&#039;A magnifying glass next to a minus sign:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom out. Simply highlight this button, move your mouse over the world map and left click.&lt;br /&gt;
*&#039;&#039;&#039;A hand:&#039;&#039;&#039;&amp;amp;nbsp;can be used to move the world map around. Highlight this feature, move your mouse over a zoomed-in world map, left click, hold and drag to your desired location.&lt;br /&gt;
*&#039;&#039;&#039;A globe:&#039;&#039;&#039;&amp;amp;nbsp;can be used to zoom back out to the standard, centered, default view of the world map.&lt;br /&gt;
*&#039;&#039;&#039;A printer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to print out the map you are looking at.&lt;br /&gt;
*&#039;&#039;&#039;A pointer:&#039;&#039;&#039;&amp;amp;nbsp;can be used to copy the data that underlies the map display. Clicking on this button will present a prompt that tells you that you have copied the data to the computerclipboard. If you would like to, say, copy the data to a Word file, simply open the file, right click on the white, empty space and select paste.&lt;br /&gt;
&lt;br /&gt;
Some final features of the map are located to the left of the map and below the map. The map legend is located to the left of the map. It displays the data points that delineate the different display categories. On the bottom of the map display, the year being displayed is identified as well as the variable name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;World Map Movie&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;World Map Movie&#039;&#039;&#039;&amp;amp;nbsp;is accessible in two locations in IFs. The first is under the&amp;amp;nbsp;&#039;&#039;&#039;Data Analysis&#039;&#039;&#039;&amp;amp;nbsp;heading on the main IFs screen. The second is under Specialized Display, which is a sub-heading of the Display heading on the Main Menu. The World Map Movie found under the Data Analysis heading deals with historic data, while the World Map Movie found under the Specialized Display heading deals with forecasted data. Selecting the World Map Movie allows the user to display on a map of the world the changes in selected variables over time in all of the countries for which IFs has data. This section describes how to use the various options to tailor the movie to the userpreferences.&lt;br /&gt;
&lt;br /&gt;
After selecting World Map Movie, the dialog box pictured below appears on the userscreen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map1.gif|center|World Map Movie options]]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Choose Variables and Years&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Variables&#039;&#039;&#039;: allows user to select from the entire database of variables in IFs for the Historic World Map Movie. The forecasted World Map Movie includes a more limited database of variables from which to choose.&lt;br /&gt;
*&#039;&#039;&#039;Start Year&#039;&#039;&#039;: Enter the year from which the movie will begin.&lt;br /&gt;
*&#039;&#039;&#039;End Year&#039;&#039;&#039;: Enter in the year with which the movie will end.&lt;br /&gt;
*&#039;&#039;&#039;Filter&#039;&#039;&#039;: User can set the filter from 1% to 100%. This feature sets a minimum value for a portion of the data to be displayed in a given year.&lt;br /&gt;
*&#039;&#039;&#039;Category&#039;&#039;&#039;: Can be set from 1 to 16. Determines the number of categories to divide the values into.&lt;br /&gt;
*&#039;&#039;&#039;Constant/Variable Legend&#039;&#039;&#039;: Selecting the constant function will keep the numbers and measurements in the individual categories constant. The numbers and measurements will change over time if the variable legend is selected.&lt;br /&gt;
*&#039;&#039;&#039;Display Type&#039;&#039;&#039;: When Constant Legend is selected, two options will appear under display type: equal interval and equal count. The equal interval function divides the values equally between categories, with the interval calculated by the equation (highest value-lowest value/number of categories= interval width). The equal count function distributes the number of countries equally between the selected of number of categories. When Variable Legend is selected, a third option becomes available: equal match. If equal match is selected, legend values are assigned to each value uniquely. If there are not enough categories to represent each value, the countries that do not have the selected values are represented as blank.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Controlling Options&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Automatic&#039;&#039;&#039;: When deselected, the user scrolls through the years of the movie manually. When selected, the movie will automatically play the start year to the end year.&lt;br /&gt;
*&#039;&#039;&#039;World/Country&#039;&#039;&#039;: This toggle switch is available only under the Historic World Map Movie. It allows the user to view a movie of changes of the selected variable across the world or, when country is selected, to view a movie of the change in a variable across regions in a country. Three countries are available to the user to select: China, India, and Mexico.&lt;br /&gt;
*&#039;&#039;&#039;Create Movie file&#039;&#039;&#039;: This toggle switch allows the user to save the movie created. When the playing of the movie is complete, a prompt appears which allows the user to name and save the movie file. The saved movie file is available in Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
After selecting Start, the dialogue box will close, and the World Map as pictured below (or similar to it) will appear. This section describes what the user is viewing, and how to manipulate the functions at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
[[File:Map3.gif|center|Example of World Map Movie display]]&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Playing Movie for Historic Data&amp;lt;/span&amp;gt;&amp;amp;nbsp; ==&lt;br /&gt;
&lt;br /&gt;
The upper left portion of the screen lists whether the movie is showing a variable or constant legend and across which period of time. Underneath this information is the number of categories and the corresponding color for each category, and the numerical range for each category.&lt;br /&gt;
&lt;br /&gt;
The main portion of the screen is the world map, divided into all countries for which IFs has data. The various shadings of the countries correspond to the various shading of the categories listed in the map legend. By right-clicking on the world map, the user is able to copy the map, zoom in on a particular location of the map, zoom out, or to reset the map to its original point of view.&lt;br /&gt;
&lt;br /&gt;
The bottom section of the screen, from left to right, lists the variable displayed by the map, with the start year shown and the level of the filter. Next is the selected display type. The four buttons to the right of the display type allow the user to zoom in, zoom out, pan, and show the full extent of the world map. The first two buttons allow the user to zoom in on or zoom out from the area under which the cursor is located, while the full extent option resets the view of the world to the original perspective. The pan button allows the user to pan across the world by clicking on different parts of the map, which effectively pans across the world by re-centering the map on the area selected, after having zoomed in or zoomed, without zooming in or out any further. The next set of buttons allows the user to play or pause the movie, and to adjust the speed at which the movie will play. Next is a toggle switch which, when selected, makes the movie play automatically; when the switch is not selected, the user is able to advance the year displayed on the map or to go over previous years.&lt;br /&gt;
&lt;br /&gt;
If the user selected “Create Movie File” during the setup phase, a dialogue box will appear after the movie is finished playing that prompts the user to provide a name and a place to save the movie file. The program will alert the user if the .avi file is successfully created and saved. To review the saved movie file, go to Stored Map Movie.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Time (Longitudinal Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Time.gif|center|Variables across time window]]&lt;br /&gt;
&lt;br /&gt;
This screen looks much like others you have seen. One difference is that you must select a single or a small set of countries for your longitudinal analysis. You can look at a variable over time (using time as the independent variable), or you can treat time as points on the graph and look at the relationship between two variables.&lt;br /&gt;
&lt;br /&gt;
Pick a variable such as AIDDon%GNI (aid donations as a percent of Gross National Income, the successor concept to Gross National Product). Using the screen that comes up when you touch Select Countries, pick the United States as a donor country. Then Exit back to the screen for analysis over time and Plot the result. You will see the decline in U.S. aid commitment over time.&lt;br /&gt;
&lt;br /&gt;
On this particular plot, and dependent on the version of the model you are using, you may see values for Earliest and MostRecent. These values have been entered into the data file so that users can have available; for example, the most recent value of a variable for all countries, regardless of whether that value comes from 2000, 2001, or 2005. Most recent (and earliest) values are especially useful for cross-sectional analysis and you may or may not want them on your longitudinal&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/general/graph/graph.html graph].&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/computations/computations.html Computations]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
Exploration of maps, cross-sectional and longitudinal relationships, and relationships computed for IFs can give you much information about the apparent relationships among a wide range of global development indicators. Even if you never used IFs for forecasting, this data analysis capacity could significantly enhance your understanding of the world. &lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Analyze Across Countries (Cross-Sectional Analysis)&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be accessed from the Data Analysis option on IFs Main Menu.&lt;br /&gt;
&lt;br /&gt;
[[File:Country.gif|center|Variables across countries window]]&lt;br /&gt;
&lt;br /&gt;
The menu of Analyze Across Countries is dominated by the Select Variable and Data Table. From this list, users are able to select from all of the data tables that underpin the functioning of IFs.&lt;br /&gt;
&lt;br /&gt;
Note that the Select Variable and Data Table list box includes many variables that do not exist, or do not have the same names, in the IFs model. These are from the data base. When possible, data were gathered for many historic years, in order to provide the ability to analyze across time (longitudinal analysis, described later) as well as across countries at a given point in time (cross-sectional analysis). When you select a variable name for which data from more than one year is available, you will be asked to specify a year.&lt;br /&gt;
&lt;br /&gt;
To do a cross-sectional analysis, specify a dependent variable (a variable you want to understand causes of) and one or more independent variables (the possible causes of change in the dependent variable). For instance, pick life expectancy (LifExp – SocioPolitical (Life expectancy at birth) - years) as the dependent variable. Many relationships in IFs treat Gross Domestic Product (GDP) per capita at purchasing power parity as an independent variable (GDP2000PCPPP – Economic (GDP per capita (PPP)) – 2000 PPP$). Click GDP2000PCPPP in the Select Variable list box. You will then have to choose a year. For this example, choose the year 2000. Notice that GDP2000PCPPP(2000) is then shown as the Independent 1 Variable. Click the Plot button to access the display of these variables.&lt;br /&gt;
&lt;br /&gt;
An additional feature of the Cross-Sectional Analysis is the ability to look more closely at the data set in which a user might be interested. Left-click on any variable and a small window with two options will appear: Select and Data Information. Click Select to choose that variable. Click Data Information in order to access detailed information as to the scope, availability and properties of the data set in question.&lt;br /&gt;
&lt;br /&gt;
At the bottom of the dialogue box is a drop-down menu with the title&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/source.html Source File]. Choosing different source files allows the user to view and experiment with data for a small number of countries at the provincial level.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Cross-Sectional Analysis Extended Features&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
These features can be accessed through&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/index.html Cross-Sectional Analysis]&amp;amp;nbsp;from Data Analysis on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Extended Option.&#039;&#039;&#039;&amp;amp;nbsp;When you use the input line for independent or dependent variable selection, it is also possible to compute a variable as a simple function of two or more other variables (e.g. as the sum, difference, quotient, or product of two other variables).&lt;br /&gt;
&lt;br /&gt;
Now touch the Plot button to create a scatter plot showing the relationship between the two selected variables for as many countries as exist in the data set. You will see that life expectancy increases rapidly as GDP per capita rises. The scatter plot may be sufficient for many users of IFs. You can print the scatter plot or save it for other analysis or for use in other applications.&lt;br /&gt;
&lt;br /&gt;
Some users, however, will want to proceed further and to describe the relationship between the two variables with an equation. If you have Microsoft Excel available on your computer, you can do this by touching the Excel button from the Scatter plot. That button actually creates a link with Excel and carries the scatter plot (with supporting data) to Excel for further analysis.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat1.gif|center|Example of Scatter plot]]Excel opens up many additional features for your use that can be described in more detail using Excel’s Help menu. But let’s walk through the process of fitting a line and associated equation to the data (important for the next Lesson). First, maximize the Excel screen by using the maximize button in the upper right hand corner of the window (the icon of a single large window).&lt;br /&gt;
&lt;br /&gt;
Then click anywhere on the graph to activate it. That allows you then to right-click on various components of the graph in order to edit those components. For example, right-click on the straight line that Excel has fit to the data. You will see a small pop-up menu with a couple of options. Select the Format Trendline option and you will see the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat2.gif|center|Trendline option window]]Choose the Type tab and select the logarithmic trend/regression type for a better fit.&lt;br /&gt;
&lt;br /&gt;
Then choose the Options tab for additional choices including checking boxes for &amp;quot;Display Equation on Chart&amp;quot; and &amp;quot;Display R-Squared Value on Chart.&amp;quot; Although both options are checked, the equation and R-Squared are sometimes not initially visible on the chart because they are not placed properly when you open Excel (it depends on the variables you plot). If they are not visible, turn the options both off, close the Format Trendline window, right-click on the line, select again the Format Trendline option, and again select the Options folder. Turn the Display Equation and Display R-Squared options back on and exit from the Format Trendline window again. You should now see the equation and r-squared someplace on the graph and can drag them to a better location, nearer the intersection of the two axis.&lt;br /&gt;
&lt;br /&gt;
If you now right-click on the dependent or y-axis, you will see a small pop-up menu with several options. Choose the format axis option and the following window will appear:&lt;br /&gt;
&lt;br /&gt;
[[File:Feat3.gif|center|Axis setting window]]Under the Scale tab you will find maximum value, minimum value, and other settings. Often you will find it very useful to reset maximum or minimum values. Try, for example, setting the minimum on the y-axis to 0 and the maximum to 100.&lt;br /&gt;
&lt;br /&gt;
There is much more that you can do with Excel, including copying the figure you have just created and incorporating it into a word processing file. Experiment.&lt;br /&gt;
&lt;br /&gt;
Exit from Excel (no need to save the file unless you want to), and click on Continue to move from the Scatterplot back to the Select Variables to Analyze Across Countries window (reproduced near the top of this lesson).&lt;br /&gt;
&lt;br /&gt;
Although the introduction of a control variable works helps in looking at relationships involving up to three variables (dependent, independent, and control), it is possible to examine relationships involving as many as five independent variables (see again the IFs window shown earlier on analyzing variables across countries). The key to this is selection of the Statistics option that you can see at the bottom of that window (next to the Plot button). After selecting a dependent variable and as many as 5 independent variables, touch the Statistics button. That will display the set of transformation options.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat4.gif|center|Transformation options window]]The transformation options allow you to apply transformations to your dependent and/or independent variables, just as you saw earlier in Excel that a logarithmic transformation of GDP per capita helped explain life expectancy better. Choose here again the logarithmic transformation of GDP per capita and then select the button Compute and Show Statistics. That will produce the following window showing statistics about the relationships among these three variables. These statistics will not be explained here – please see a standard statistics textbook.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat5.gif|center|Statistics options window]]&#039;&#039;&#039;Computed Functions.&#039;&#039;&#039;&amp;amp;nbsp;Click on the sub-option for computed functions to obtain the following window.&lt;br /&gt;
&lt;br /&gt;
[[File:Feat6.gif|center|Computed functions window]]Many two-variable relationships have been computed within IFs using the cross-sectional analysis capabilities described earlier. For instance, relationships have often been computed for the same two variables at different points in time to gain insight about how the cross-sectional relationships have changed over time.&lt;br /&gt;
&lt;br /&gt;
Click the Extend List box in the window above to see the list of computed functions more clearly. Then scroll down until you see GDP/Capita (PPP) Versus Life Expectancy (1962). Because of data availability this was the earliest relationship computed between the two variables. Notice that other relationships have been computed at intervals. Holding the control (Ctrl) button down click on the relationships between those two variables for 1962, 1980, and 1995. All three should be high-lighted and therefore selected. Now click on the Draw Graph option to create a graph that contains all three.&lt;br /&gt;
&lt;br /&gt;
Note that at low levels of GDP per capita at PPP (in constant dollars over time) the life expectancy has generally gone up. In other words, countries have succeeded in raising life expectancy even at low levels of GDP per capita. Why? It could be some combination of improved medical technology and of improved health policy. In any case, the shift in the relationship over time suggests the value of multi-variate analysis of the relationship, not just bi-variate.&lt;br /&gt;
&lt;br /&gt;
Another feature of this section of IFs is the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/computations/computations.html Computations]&amp;amp;nbsp;button.&lt;br /&gt;
&lt;br /&gt;
== &amp;lt;span style=&amp;quot;font-size:x-large;&amp;quot;&amp;gt;Analyze Across Countries (Scattergram)&amp;lt;/span&amp;gt; ==&lt;br /&gt;
&lt;br /&gt;
This section describes how to use the various features on the Scattergram, which appears after clicking the Plot button in the Analyze Across Countries (Cross-Sectional) option. The descriptions begin with the features found in the upper left-hand corner of the screen and ends with the features on the right of the screen.&amp;amp;nbsp;[[File:Scatter.gif|center|Example of scattergram]]&lt;br /&gt;
&lt;br /&gt;
Clicking on Continue returns the user to the previous menu, while clicking on Save provides options to save the data as a graph or as values.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Excel&#039;&#039;&#039;&amp;amp;nbsp;option will export this data to an Excel spreadsheet.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Labels&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to change the labels on the graph. The user can choose to display the full names of the countries or the abbreviations of the names. The user can change the labels of the x- and y-axes, the title, and the subtitle of the graph. The user can also choose to display certain data points and labels and not others by clicking on the Select Points and Labels option. After clicking on Select Points and Labels, a dialogue box appears with a list of all data points and corresponding labels. Next, after choosing which data and labels to display, click Save. The graph should now only display the selected labels and data points.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Options&#039;&#039;&#039;&amp;amp;nbsp;feature allows the user to access various third dimension display options. One of these options is the Bubble Display feature, which displays the ’ of a given countrypopulation or Gross Domestic Product and facilitates comparison with other countries. This feature can be used to display either the dependent or one of the independent variables. Additionally, the user can change the geographic units that are displayed from Countries to Groups or Geographic Lists. Notice, however, that even when countries are displayed, they are colored according to regions. Click on Define Colors for G-Lists for a key to the various color-groupings. To change the color-grouping method, select a new region from the drop-down menu in the Define Colors option. Then click on Initialize Colors. The colors should now change according to the new grouping method.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Display Dynamic&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to create a movie of the interaction of these variables over time. There are two types of movies that the user can view: the first type traces the data points or the dots’ over time, while the second type simply shows the location of the various data points at a given point in time. To view a movie, first click on Display Dynamic and then select the Tracing Mode option. To label only certain or all years, click on Label Years. Click again on Display Dynamic, and then Show Movie, either with tracing on or off. Additionally, the user can display change through time by clicking on the Previous and Next buttons at the bottom of this display. Check Save Movie at the bottom of the screen to review the movie in the future. The movie will be saved under Stored Map Movie, which is located under Specialized Display.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;&#039;&#039;&#039;Relationships&#039;&#039;&#039;&amp;amp;nbsp;option allows the user to fit a line to the graph. To remove the line, click on No Regression.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Running_the_Model&amp;diff=7525</id>
		<title>Running the Model</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Running_the_Model&amp;diff=7525"/>
		<updated>2017-07-25T15:28:29Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will further explain the options located under the Run sub-option located under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
Users can change parameters in the&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Overview|Quick Scenario Analysis with Tree]]&amp;amp;nbsp;or load&amp;amp;nbsp;[[File_Management|Scenario-Load-Files]]&amp;amp;nbsp;into IFs. These changes can then be turned into a Run-Result-Files. There are two different methods for creating these&amp;amp;nbsp;[[How_Do_I...?_Lessons_0-4#Lesson_0:_IFs_Vocabulary|Run-Result-Files]]. It is possible to create one file using the&amp;amp;nbsp;Single Run&amp;amp;nbsp;function. It is also possible to create large numbers of Run-Result-Files in order to compare how they differently affect changes around one parameter or variable of specific interest to users. The second option is the&amp;amp;nbsp;Sensitivity Run&amp;amp;nbsp;function.&lt;br /&gt;
&lt;br /&gt;
To learn more about this topic, please see below:&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Single Run&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This menu item can be found by selecting Scenario Analysis from the Main Menu followed by the Run sub-option.&lt;br /&gt;
&lt;br /&gt;
Use this IFs option if you would like to take your Working File and convert it into a Run-Result-Files. If you have changed parameters in your scenario tree, or you have loaded a previously structured scenario, select the Single-Run option under Scenario Analysis on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
This is not the most common way for users to create Run-Result-Files. Typically, these files are created through the Quick Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs is also used after&amp;amp;nbsp;[[Extended_Features#Rebuilding_the_Base_Case|Rebuilding the Base]].&lt;br /&gt;
&lt;br /&gt;
After you have selected this option you will be prompted by a screen where you can specify for how many years IFs should run. Choose the year you would like the run to stop and then click Start Run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Sensitivity Run&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This menu item can be found by selecting Scenario Analysis from the Main Menu followed by the Run sub-option.&lt;br /&gt;
&lt;br /&gt;
Analysis with alternative parameters helps map the degree to which variations in parameters affect outcomes (forecasts of variables). Often you want a fairly systematic view of how parameter changes will affect outcomes. Such a mapping can identify points of policy leverage that will most productively produce desired futures or elements of risk that most jeopardize those same futures.&lt;br /&gt;
&lt;br /&gt;
[[File:Run1.gif|center|Sensitivity menu]]&lt;br /&gt;
&lt;br /&gt;
On the Main Menu of this feature, select Build Sensitivity Runs. From this menu you can access and accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Adding a single change to the set of sensitivity runs:&#039;&#039;&#039;&amp;amp;nbsp;This change is stored in a file called SensitivityInput.dat. The advantage of this option is that, after you select the parameter name and dimensionality, you have the option of customized or time-variant parameter specification.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Setting a change loop to the set of sensitivity runs:&#039;&#039;&#039;&amp;amp;nbsp;The change loop runs from a minimum to a maximum value for a selected parameter, depending on the step size or step number you specify. It has the advantage of allowing you to set up a series of runs (one for each step of the loop) with minimal difficulty. It has the disadvantage of allowing limited time-invariant parameter specification. Specifically, it is possible to select a period of years (the Shift Years) over which the stepped parameter changes will occur.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Sensitivity Output:&#039;&#039;&#039;&amp;amp;nbsp;From this menu you can access and accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Identify Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;this feature allows you to identify and select on parameter that will be used as an output variable. Selecting this option will open a window that allows users to choose from variable used in IFs. From this screen, users can select variables by clicking on them. The user will then be prompted to select a country. The variables are also organized into categories and grouped into a box located in the bottom right corner. At the top of this menu, users are able to pull up a box explaining scenario output files by selecting that option from the Main Menu. Users are also able to, change variable selection options by clicking on that option on the Main Menu. The next option for users is to change historic variable options by selecting that menu option. Another option on this menu allows users to open up the IFs historic base. Yet another option on this menu allows users to search through the lists of variables by typing keywords.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Display Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;This option allows users to see specific parameters that users have selected for display.&lt;br /&gt;
*&#039;&#039;&#039;Clear Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to clear any variables that they have entered into the sensitivity menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Generate Sensitivity Runs:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected various output parameters you would like to track, click on this option to see these runs actualized.&lt;br /&gt;
&lt;br /&gt;
It is necessary to generate the sensitivity runs, which is a process that will use both the specification of sensitivity runs and the specification of output variables that you have created. This process actually involves iteration across three sub-processes: for each sensitivity run you have specified, the parameters you set are copied into the working file of the model; then the model is run, re-computing all variables; finally, the values for the variables you specified as output are copied into a new file named SensitivityOuput.dat. Each line of that file contains values for a single selected sub-variable from the initial year of the run to the final year. If prior to beginning the run you wish to change the final year from the default value, use the Horizon parameter on the Display menu (reached from the Main Menu).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Analyze Sensitivity Runs:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to graphically display the various parameters they wanted to explore in more depth.&lt;br /&gt;
&lt;br /&gt;
Analysis of the SensitivityOuput.dat file will generate insight into the relationship between parameter variation and variable values in forecasts. Normally statistical and/or graphical analysis will be involved. At this point, IFs does not include limited options for that analysis (thanks for those to Sergei Parinov).&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Running_the_Model&amp;diff=7524</id>
		<title>Running the Model</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Running_the_Model&amp;diff=7524"/>
		<updated>2017-07-25T15:27:20Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will further explain the options located under the Run sub-option located under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
Users can change parameters in the&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Overview|Quick Scenario Analysis with Tree]]&amp;amp;nbsp;or load&amp;amp;nbsp;[[File_Management|Scenario-Load-Files]]&amp;amp;nbsp;into IFs. These changes can then be turned into a Run-Result-Files. There are two different methods for creating these&amp;amp;nbsp;[[How_Do_I...?_Lessons_0-4#Lesson_0:_IFs_Vocabulary|Run-Result-Files]]. It is possible to create one file using the&amp;amp;nbsp;Single Run&amp;amp;nbsp;function. It is also possible to create large numbers of Run-Result-Files in order to compare how they differently affect changes around one parameter or variable of specific interest to users. The second option is the&amp;amp;nbsp;Sensitivity Run&amp;amp;nbsp;function.&lt;br /&gt;
&lt;br /&gt;
To learn more about this topic, please see below:&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Single Run&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This menu item can be found by selecting Scenario Analysis from the Main Menu followed by the Run sub-option.&lt;br /&gt;
&lt;br /&gt;
Use this IFs option if you would like to take your Working File and convert it into a Run-Result-Files. If you have changed parameters in your scenario tree, or you have loaded a previously structured scenario, select the Single-Run option under Scenario Analysis on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
This is not the most common way for users to create Run-Result-Files. Typically, these files are created through the Quick Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
This feature of IFs is also used after&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/extended/rebuild/rebuilding.html Rebuilding the Base].&lt;br /&gt;
&lt;br /&gt;
After you have selected this option you will be prompted by a screen where you can specify for how many years IFs should run. Choose the year you would like the run to stop and then click Start Run. &lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Sensitivity Run&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This menu item can be found by selecting Scenario Analysis from the Main Menu followed by the Run sub-option.&lt;br /&gt;
&lt;br /&gt;
Analysis with alternative parameters helps map the degree to which variations in parameters affect outcomes (forecasts of variables). Often you want a fairly systematic view of how parameter changes will affect outcomes. Such a mapping can identify points of policy leverage that will most productively produce desired futures or elements of risk that most jeopardize those same futures.&lt;br /&gt;
&lt;br /&gt;
[[File:Run1.gif|center|Sensitivity menu]]&lt;br /&gt;
&lt;br /&gt;
On the Main Menu of this feature, select Build Sensitivity Runs. From this menu you can access and accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Adding a single change to the set of sensitivity runs:&#039;&#039;&#039;&amp;amp;nbsp;This change is stored in a file called SensitivityInput.dat. The advantage of this option is that, after you select the parameter name and dimensionality, you have the option of customized or time-variant parameter specification.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Setting a change loop to the set of sensitivity runs:&#039;&#039;&#039;&amp;amp;nbsp;The change loop runs from a minimum to a maximum value for a selected parameter, depending on the step size or step number you specify. It has the advantage of allowing you to set up a series of runs (one for each step of the loop) with minimal difficulty. It has the disadvantage of allowing limited time-invariant parameter specification. Specifically, it is possible to select a period of years (the Shift Years) over which the stepped parameter changes will occur.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Sensitivity Output:&#039;&#039;&#039;&amp;amp;nbsp;From this menu you can access and accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Identify Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;this feature allows you to identify and select on parameter that will be used as an output variable. Selecting this option will open a window that allows users to choose from variable used in IFs. From this screen, users can select variables by clicking on them. The user will then be prompted to select a country. The variables are also organized into categories and grouped into a box located in the bottom right corner. At the top of this menu, users are able to pull up a box explaining scenario output files by selecting that option from the Main Menu. Users are also able to, change variable selection options by clicking on that option on the Main Menu. The next option for users is to change historic variable options by selecting that menu option. Another option on this menu allows users to open up the IFs historic base. Yet another option on this menu allows users to search through the lists of variables by typing keywords.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Display Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;This option allows users to see specific parameters that users have selected for display.&lt;br /&gt;
*&#039;&#039;&#039;Clear Output Variables:&#039;&#039;&#039;&amp;amp;nbsp;This feature allows users to clear any variables that they have entered into the sensitivity menu.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Generate Sensitivity Runs:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected various output parameters you would like to track, click on this option to see these runs actualized.&lt;br /&gt;
&lt;br /&gt;
It is necessary to generate the sensitivity runs, which is a process that will use both the specification of sensitivity runs and the specification of output variables that you have created. This process actually involves iteration across three sub-processes: for each sensitivity run you have specified, the parameters you set are copied into the working file of the model; then the model is run, re-computing all variables; finally, the values for the variables you specified as output are copied into a new file named SensitivityOuput.dat. Each line of that file contains values for a single selected sub-variable from the initial year of the run to the final year. If prior to beginning the run you wish to change the final year from the default value, use the Horizon parameter on the Display menu (reached from the Main Menu).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Analyze Sensitivity Runs:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to graphically display the various parameters they wanted to explore in more depth.&lt;br /&gt;
&lt;br /&gt;
Analysis of the SensitivityOuput.dat file will generate insight into the relationship between parameter variation and variable values in forecasts. Normally statistical and/or graphical analysis will be involved. At this point, IFs does not include limited options for that analysis (thanks for those to Sergei Parinov).&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Guided_Scenario_Analysis&amp;diff=7523</id>
		<title>Guided Scenario Analysis</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Guided_Scenario_Analysis&amp;diff=7523"/>
		<updated>2017-07-25T15:25:12Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Next to displaying output from IFs, the biggest use of the modeling system for most people is creating and investigating alternative run-files/cases of the model or elaborated scenarios.&lt;br /&gt;
&lt;br /&gt;
A&amp;amp;nbsp;[[Scenario_Description|scenario]]&amp;amp;nbsp;is a story about the future. The base case is such a story and you can create others and compare/contrast them.&lt;br /&gt;
&lt;br /&gt;
There are two scenario development modes in IFs, Guided Scenario Analysis and Self-Managed Scenario Analysis. New users of IFs, and especially users who have no experience with scenario analysis, may prefer Guided Scenario Analysis. Returning users and those who understand the basics of scenario analysis are likely to prefer Managed Scenario Analysis.&lt;br /&gt;
&lt;br /&gt;
To reach Guided Scenario Analysis, choose the Scenario Analysis option from the Main Menu and the Guided Scenario Analysis sub-option. That will take you to the following window and a list of the six steps of Guided Scenario Analysis.&lt;br /&gt;
&lt;br /&gt;
[[File:Lesson1image.gif|center|Example of World Map displayed in IFs]]&lt;br /&gt;
&lt;br /&gt;
After you have read the list, click on the Continue Guided Use button. You will be asked for your name (or some identifier you want to provide), so as to keep track of subsequent choices you make and simplify later return to Guided Scenario Analysis. After provision of an identifier, you will be taken to Step 1.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 1: Exploring the Base Case&amp;amp;nbsp;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
IFs provides standard reports and specialized displays to get started with displays, and also offers flexible display options across all variables and parameters of the model. Lesson 1 elaborates the process, and this lesson assumes that you have mastered display from IFs. Note the Basic Report, Specialized Displays, and Self-Managed Flexible Display options on the menu. These should be familiar to you from Lesson 1, and you can use them at this stage if you want.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided2.gif|center|Exploring the Base Case]]&lt;br /&gt;
&lt;br /&gt;
When finished exploring the base, the Next option will move you to Step 2 and the following screen.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 2: Identity a Geographic Area of Interest&amp;amp;nbsp;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This might be a country/region or a more aggregated geographic grouping, possibly the entire world. Touch the Countries or Group option and a list of geographic units will appear. Make your geographic choice and the screen will confirm it for you. You can change this choice now or later, so do not agonize about it. When you have completed your selection, choose the Next option on the menu to advance to Step 3.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided3.gif|center|Geographic Area of Interest Window]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 3: Setting Priorities&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Step 3 screen identifies a small selection of IFs variables in 4 main categories that have been chosen to help monitor the system when scenarios are introduced. Each has an initial weighting of 5 on a 1 to 10 scale (higher is more important). The model computes average weightings automatically for each subcategory and category. There is a more extended Help topic for Setting Priorities. At this point you only need to know a few things:&lt;br /&gt;
&lt;br /&gt;
*You can double-click on any variable name to bring up a small window that allows you to adjust the priority weight for that variable. Pick a variable of special importance to you as a priority for your country/region or geographic grouping, double-click on it, and increase its weight.&lt;br /&gt;
*The Define Priorities option on the window will bring up a secondary window that allows you to change the variables in the priority list. Essentially, any variable in IFs can be added and any of the ones shown can be removed. Explore that if you like, but it may be unnecessary for you at this point.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided4.gif|center|Setting priorities window]]The Reset option on the Set Priorities menu will reset priority weights back to the default values if you choose to do so after experimentation. When finished tailoring priorities, select the Next option to move to Step 4.&lt;br /&gt;
&lt;br /&gt;
An additional feature of this screen is the Define Priorities option. By clicking on this at the top of the Set Priorities for Improvement of Life menu, users are able to alter which variables and parameters are given priority. Click on this and a new window will appear. From this screen, users are able to add additional variables/parameters to the guided use by toggling between &amp;quot;yes&amp;quot; and &amp;quot;no&amp;quot; under the GuidedUse column. At the bottom of this screen, it is possible to restore the default settings by clicking Reset G.U.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 4: Specifying a Scenario with the Scenario Tree&amp;lt;/span&amp;gt;&amp;amp;nbsp; =&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to select one or more interventions without even knowing parameter names. You can select High, Medium, or Low values of many key parameters/scenario drivers and the tree will help manage your input scenarios.[[File:Guided5.gif|center|Specifying a Scenario window]]&lt;br /&gt;
&lt;br /&gt;
Note that the tree (think of it as a tropical banyan tree that grows extra trunks over time) has several major trunks, each of which has branches that you can expose when you click on the + sign next to the trunk’s name. The first two trunks guide you to branches that correspond to assumptions about alternative technological futures and environmental conditions, respectively.&lt;br /&gt;
&lt;br /&gt;
The next three trunks contain branches that help you represent changes in the behavior of key agent-classes in society: households/individuals, governments, and firms. Behavioral changes of such agent-classes can have significant impact on the future.&lt;br /&gt;
&lt;br /&gt;
The last trunk contains a large number of branches that lead to parameters inside the model relationships. For most users, these parameters values will not be altered. This trunk is most for advanced users.&lt;br /&gt;
&lt;br /&gt;
The best way to learn how to use the tree is to walk through an example. Let’s make a greater investment in education in order to explore whether it would help or hurt the country/region or grouping. Click on the &amp;quot;+&amp;quot; next to the Government/Socio-Political trunk and expose the branches. Click on the Fiscal-Expenditure branch to expose the specific drivers or parameters (or twigs) available. Click on the &amp;quot;Government expenditures by destination, multiplier&amp;quot; twig to get access to control over different kinds of government spending (the &amp;quot;Government expenditures on education by level, multiplier&amp;quot; would help direct spending to primary, secondary, or tertiary levels, but the current interest is in total spending).&lt;br /&gt;
&lt;br /&gt;
A menu will pop up with several options that provide you much more information about the parameter on this twig; you might want to explore some of them to learn about the parameters and its impact on the model. Ultimately, however, choose the Select option. When you do so, you will be given a chance to identify the country/region or grouping where you want educational expenditures to increase. The default will normally be the one you identified earlier and you can just touch the Enter key on your keyboard to accept it. Then you will be given a chance to identify the area of government spending of special interest to you. Click on Education. The window will change and you will see a repainting of the scenario tree like that below.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided6.gif|center|Setting more parameters window]]&lt;br /&gt;
&lt;br /&gt;
The tree now shows the branch and twig you have selected. A graphic has appeared that allows you to change the value of the parameter you have chosen. Note that the default option specified is that of the base case and that the graphic shows it as a value of &amp;quot;1&amp;quot; across time. These means that the multiplier on educational spending for your country/region or grouping is &amp;quot;1&amp;quot; at all points in the base case, allowing the model to determine the level of educational spending based on the data and equations in it.&lt;br /&gt;
&lt;br /&gt;
Now, however, you want to force more education spending. Click on the High option. The graph will change and you will see that the multiplier ramps up to a higher value over a period of several years (it is hard to change education spending very quickly). The Shift Years box would allow you to ramp up faster or more slowly. The slider bar on the side of the graph would allow you to ramp up (or down) to higher or lower values. The Fully Customize button would take you to a specialized Change Values screen that provides total control on the time path of intervention.&lt;br /&gt;
&lt;br /&gt;
For now, just choose the High option as your intervention. Click on the Next button to advance to the next step. When you do so, you will be asked to Save your scenario. Type in Test.sce some other name that you would like. Notice, however, that there are already many scenarios in the list of folders presented in this dialog box. For instance, Sustainability Scenario.sce contains a rather extended scenario that has interventions aimed at creating a more sustainable world by 2100. Other scenarios have interventions concerning faster or slower control of HIV/AIDS. Still others represent the scenario &amp;quot;families&amp;quot; of the Intergovernmental Panel on Climate Change (IPCC). At a later time you will want to come back to Step 4, use the Scenario Files option and the Open sub-option to load either your own &amp;quot;Test.sce&amp;quot; or another scenario into the tree as a basis for further analysis. The window of Step 4 is a powerful tool for developing and changing scenario packages over time.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 5: Running the Model&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
After you have changed a single parameter (or even many of them) in Step 4, everything else remains the same. This is very important to understand – you have only changed an input parameter, nothing more. To see the effects of your parameter change throughout the global system you must run the model, because it is the run that computes all the implications of all parameter settings. In the run of the model, nearly &amp;quot;everything effects everything&amp;quot; in IFs.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided8.gif|center|Run the scenario window]]&lt;br /&gt;
&lt;br /&gt;
Note that you can identify the year to which the model should run, with a default value specified. For now, simply accept the default and touch the Start Run button. As the model runs you will see some selected graphics of variables changing over time at the global level. When it finishes, you will see a &amp;quot;Run Successful&amp;quot; message. You can click on either that message button or Next to advance to Step 6 of Guided Scenario Analysis.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Step 6: Reviewing the Results of Your Scenario&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The screen below (or something similar in your analysis) contains a summary review of the results of your intervention.&lt;br /&gt;
&lt;br /&gt;
[[File:Guided9.gif|center|Result window example]]&lt;br /&gt;
&lt;br /&gt;
This screen has the same variables that you saw in Step 3, with the weightings you either chose or left unchanged. It also has, however, several new elements:&lt;br /&gt;
&lt;br /&gt;
*Columns that show the value of each variable at the end of your end horizon (and for the country/region or grouping of your choice) from the Base Case and from the Working Run File generated by your scenario intervention. You will notice two things about those values. They are changed for most variables (everything affects everything) and the changes are not usually very great (it is difficult to move the world with a policy intervention).&lt;br /&gt;
*A cumulative ratio of the values for each variable over the entire time horizon (the sum of values across time in the Working Run File divided by the sum across time in the Base Case).&lt;br /&gt;
*Scores for each variable. 100 is the default score when nothing is changed by your scenario. Values above are positive and values below are negative.&lt;br /&gt;
*The number in the Sign column indicates whether a higher numerical value for a variable would be considered positive (&amp;quot;1&amp;quot;) or negative (&amp;quot;-1&amp;quot;). The signs are also set in the Define Priorities window, but most have default values with which you will agree.&lt;br /&gt;
&lt;br /&gt;
An intervention such as higher educational spending might be expected to improve literacy rates, but because it squeezes health expenditures to lower life expectancy. Such an intervention may or may not raise levels of GDP per capita or to change income distribution and so on. Do the affects of your intervention seem reasonable? What do you think of your scenario? How might it be improved?&lt;br /&gt;
&lt;br /&gt;
In this step you may spend some time learning more about the structure of the model and how it generated the results you obtained. For instance, you might use the Display features (again you will recognize the set of options from Lesson 1) to see more detail behind the basic review of results and to learn more about the relationships within IFs. You can click on tables of results to call up explanations of the variables in them. You may also benefit in your use of IFs by referring to a book written about the model and its use.&lt;br /&gt;
&lt;br /&gt;
In general, scenario analysis is an iterative process involving thinking about results and learning from them, on one hand, and changing the intervention, on the other. When you are ready, back up to Step 4 and change your scenario.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7522</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7522"/>
		<updated>2017-07-25T15:21:38Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
&lt;br /&gt;
If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
&lt;br /&gt;
Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[[Running the Model#Overview| run the model]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[[Define,_Drivers,_Explain,_Code_and_Delete|&#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Customization_of_Parameters|customize]]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Parameter_Types|form of parameter]]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[[Understand_IFs|&amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7521</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7521"/>
		<updated>2017-07-25T15:20:10Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
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&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
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[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
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[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
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Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[[Running the Model#Overview| run the model]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[[Define,_Drivers,_Explain,_Code_and_Delete|&#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
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One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
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The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Customization_of_Parameters|customize]]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Parameter_Types|form of parameter]]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
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&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
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&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
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&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
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&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
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&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
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&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
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&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
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&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
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&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
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&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
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&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
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&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
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&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7520</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7520"/>
		<updated>2017-07-25T15:18:33Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
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*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
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Below is the menu:&lt;br /&gt;
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[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
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*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
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*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
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To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
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If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
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[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
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[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
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Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[[Running the Model#Overview| run the model]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
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Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
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&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
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&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
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[[Define,_Drivers,_Explain,_Code_and_Delete|&#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]]&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
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One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
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The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
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[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
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Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
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Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
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You may also want to more specifically&amp;amp;nbsp;[[Quick Scenario Analysis with Tree#Customization of Parameters|customize]]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
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Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
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If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
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Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
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If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
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Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
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After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
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Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
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Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
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&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
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&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
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&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
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&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
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&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
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&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
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&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
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&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
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&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
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&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
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Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
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Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
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Alternative Ways to Use the Change Values Form:&lt;br /&gt;
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&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
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&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
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&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
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&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
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&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7519</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7519"/>
		<updated>2017-07-25T15:17:07Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
&lt;br /&gt;
If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
&lt;br /&gt;
Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[[Running the Model#Overview| run the model]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[[Define,_Drivers,_Explain,_Code_and_Delete|&#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7518</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7518"/>
		<updated>2017-07-25T15:16:08Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
&lt;br /&gt;
If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
&lt;br /&gt;
Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[[Running the Model#Overview| run the model]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7517</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7517"/>
		<updated>2017-07-25T15:14:53Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Exploring_and_Changing_Parameters|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
&lt;br /&gt;
If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
&lt;br /&gt;
Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/running/running.html run the model].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7516</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7516"/>
		<updated>2017-07-25T15:14:11Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Finding_Parameters_and_Variables|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/exploring.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
&lt;br /&gt;
Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/running/running.html run the model].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
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&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
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&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
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&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
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&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
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&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
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&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
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&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
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&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
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&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
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&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
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The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
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Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
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Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
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Alternative Ways to Use the Change Values Form:&lt;br /&gt;
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&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
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&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
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&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
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&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
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&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
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&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
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It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
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While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7515</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7515"/>
		<updated>2017-07-25T15:13:25Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
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&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
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*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
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Below is the menu:&lt;br /&gt;
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[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
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*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Adding_Scenario_Components_and_Other_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
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*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/finding.html this topic], you should be able to do/answer the following:&lt;br /&gt;
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*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/exploring.html this topic], you should be able to do/answer the following:&lt;br /&gt;
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*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
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To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
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If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
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[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
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[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
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Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/running/running.html run the model].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
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Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
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&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
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&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
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[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
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One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
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The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
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[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
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Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
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Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
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You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
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Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
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If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
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Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
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If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
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Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7514</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7514"/>
		<updated>2017-07-25T15:12:27Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
&lt;br /&gt;
*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
&lt;br /&gt;
Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Previously-Run_Scenarios_and_Previously-Structured_Scenarios|this topic]], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/adding.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/finding.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/exploring.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
&lt;br /&gt;
To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
&lt;br /&gt;
If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
&lt;br /&gt;
[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
&lt;br /&gt;
[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
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Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
&lt;br /&gt;
From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/running/running.html run the model].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
&lt;br /&gt;
Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
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Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
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If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
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Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
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If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
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&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
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&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
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&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
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&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
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&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
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&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
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&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
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&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
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&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
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&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
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It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7513</id>
		<title>Quick Scenario Analysis with Tree</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Quick_Scenario_Analysis_with_Tree&amp;diff=7513"/>
		<updated>2017-07-25T15:11:13Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;What is a Scenario?&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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This section of the Help Menu will guide you through the task of changing parameters and variables and creating Scenario-Load-Files/Run-Result-Files.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[[Scenario_Description|this topic]], you should be able to answer/do the following:&lt;br /&gt;
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*What is the difference between a Scenario-Load-File and a Run-Result-File?&lt;br /&gt;
*What Previously-Run-Scenarios came installed in your version of IFs?&lt;br /&gt;
*What is a scenario? What is not a scenario?&lt;br /&gt;
&lt;br /&gt;
==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Introduction to the Scenario Tree&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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The scenario tree allows you to call up or to mix and match an extensive number of your own interventions and/or a set of stored scenario intervention files. This feature of IFs allows you to change any parameter or initial condition used in the software for any country/region or group that you choose, thus effecting the relationships used to forecast trends. Use the Quick Scenario Analysis with Tree to create Scenario-Load-Files, run these files through IFs in order to create Run-Result-Files that you can use throughout IFs.&lt;br /&gt;
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Below is the menu:&lt;br /&gt;
&lt;br /&gt;
[[File:Scenariotree.gif|center|Scenario Tree Menu]]&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Loading Previously-run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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From the Scenario Files menu, you can clear your scenario tree, load Scenario-Load-Files or save your current Scenario-Load-File (.sce).&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/previously.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you clear parameter changes from the scenario tree?&lt;br /&gt;
*How do you find scenario files that are not used as Run-Result-Files?&lt;br /&gt;
*What do you have to click on to understand exactly what is being changed by different previously-run scenarios and previously-structured scenarios?&amp;amp;nbsp;&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously Structured Scenarios&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Another feature of the Quick Scenario Analysis with Tree is the ability to add other scenario components. These previously-structured or previously-run scenarios are helpful ways to look at possible emerging global trends.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/adding.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What does the Annotate Scenario option tell you?&lt;br /&gt;
*Search through the scenarios until you find one that takes deals with environmental change.&lt;br /&gt;
*Load a Scenario Component and return to the Scenario Tree.&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Finding the Intervention You Want&amp;lt;/span&amp;gt; ====&lt;br /&gt;
&lt;br /&gt;
In order to tailor your Run-Result-File to your needs, you must be able to quickly find the parameter you are looking for.&lt;br /&gt;
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After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/finding.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*What is the organizational logic of the tree?&lt;br /&gt;
*Where would you look if you wanted to find a parameter by typing into a search menu?&lt;br /&gt;
*What is the difference between the Selected Initial Conditions/Relationship Parameters and the other five main categories used in the Scenario Tree?&lt;br /&gt;
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==== &amp;lt;span style=&amp;quot;font-size:small;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; ====&lt;br /&gt;
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Once you have found the parameter you are looking for, say, the Total Fertility Rate Multiplier (Households/Individuals, Demographic/Population, TFRM), a number of new options become available.&lt;br /&gt;
&lt;br /&gt;
After you have finished with&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/exploring.html this topic], you should be able to do/answer the following:&lt;br /&gt;
&lt;br /&gt;
*How do you select a parameter to change?&lt;br /&gt;
*What does multiplier mean?&lt;br /&gt;
*What do the select, drivers, explain, view equations and define options all allow you to do?&lt;br /&gt;
*How do you create a Run-Result-File?&lt;br /&gt;
*How do you save the results?&lt;br /&gt;
*How can you display the results of you change in IFs?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Previously-Run Scenarios and Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The following description of Previously-Run Scenarios and Previously-Structured will be based on the Quick Scenario Analysis with Tree option found under the Scenario Analysis option on the Main Menu of IFs.&lt;br /&gt;
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To load Previously-Run Scenarios and Previously-Structured Scenarios, you must start by clicking on the Scenario Files menu option in the Main Menu of Quick Scenario Analysis with Tree.&lt;br /&gt;
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If you would like to clear any changes to the parameter tree, click on New and decide whether or not you would like to save your current scenario. In order to load a previously-run scenario, click on the Open option and then scroll over to the scenario that you would like to load. Below is an image of some possible previously-run scenarios that can be loaded:&lt;br /&gt;
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[[File:Previously1.gif|center|Loading previously-run scenarios]]&lt;br /&gt;
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If you choose one of these previously-run scenarios, your parameter tree will change corresponding to the conditions of that file. To know what parameters were changed by the previously-run scenario, load the scenario and then click on Annotate Scenario at the top of the menu. This will access a brief description of the previously-run scenario along with a detailed list of all parameters that were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also add other previously-run scenarios that are not loaded into IFs, but that are saved in other files. Click on Add from the Scenario Files menu and you will be presented with a menu with a number of different previously-run scenarios that can be loaded into your parameter tree.&lt;br /&gt;
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[[File:Previously2.gif|center|Scenario files menu]]&lt;br /&gt;
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Click on one of the Scenario-Load-Files and you will be asked whether you want to load the .sce file. Click Yes and the parameter changes will be loaded into your parameter tree. Click on Annotate Scenario to see what parameters were changed.&lt;br /&gt;
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From the Scenario Files menu, you can also save any of your scenario files. Simply click on Name and Save from the Scenario Files menu and you will be asked to choose where you would like to save your scenario and under what name. Note that these files are saved as .sce. Turning a file into a .run file requires you to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/running/running.html run the model].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Adding Scenario Components and Other Previously-Structured Scenarios&amp;lt;/span&amp;gt; =&lt;br /&gt;
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From the Main Menu of Quick Scenario Analysis with Tree, click on Add Scenario Components and you will be presented with another menu. When you click on the + arrows on the left, sub-categories open. The image below shows what happens when you click on the + next to the World Integrated Scenario Sets and then the + next to the UNEP Geo sub-category. Any of the below previously-structured scenarios can be loaded into IFs. Simply click on the scenario and then, at the top of the screen, on Load. If you would like to know more about each previously-structured scenario, load the scenario and then click on Annotate Scenario.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Finding Parameters and Variables&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The Main Menu of Quick Scenario Analysis with Tree provides you with a tree on the left hand side of the screen. This tree represents all of the parameters and variables used in IFs. One way to find the parameter or variable you would like to change is to understand the general groupings of these categories. The first two options on the tree, Technological Change and Environmental Uncertainties, allow you to shape the intensity of technological growth and the intensity of various environmental trends. The third, fourth and fifth option on the tree, Households/Individuals, Governments/Social-Political Systems and Firms/Businesses, allow you to shape the parameters for the three main global actors. The final two options on the tree, Selected Initial Conditions and Relationship Parameters, allow you to change parameters at the onset of your run-file or the relationships between various parameters.&lt;br /&gt;
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Another way for you to find the parameters you would like to change is by selecting the &amp;quot;Parameter Search&amp;quot; option on the top right of the toolbar. Clicking on this with bring up a window with a search box. For example, if you are looking to work with the malnourished children parameters, type in &amp;quot;malnourished&amp;quot; and hit enter. This will bring up any parameter with the word &amp;quot;malnourished&amp;quot; in its name. You can also search for the parameter or variable by its abbreviation.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click&amp;amp;nbsp;&#039;&#039;&#039;Search&#039;&#039;&#039;. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
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&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
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&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
[http://www.du.edu/ifs/help/use/repeated/define.html &#039;&#039;&#039;Define; Block Diagram; Equations; Linkages&#039;&#039;&#039;]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Exploring and Changing Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
One of the key features of Quick Scenario Analysis with Tree is the ability to change specific variables and parameters.&lt;br /&gt;
&lt;br /&gt;
The image below shows you what menu becomes available to you if you click on one specific parameter from the tree located on the left of the Main Menu of Quick Scenario Analysis with Tree. You are presented with five options: 1.) select the parameter in order to change it; 2.) click on drivers in order to see what variables are affecting what; 3.) click on explain to see a causal diagram and an explanation of what affects this parameter;4.) click on view equations to see the mathematical equations that are used to determine this number or; 5.) click on define to see a brief definition of what the parameter is.&lt;br /&gt;
&lt;br /&gt;
[[File:Exploring1.gif|center|Changing specific variables and parameters menu]]&lt;br /&gt;
&lt;br /&gt;
Spend as much time as you would like exploring the drivers, equations, definitions and explanations of various parameters. For this exercise, select TFRM. You will be asked to select a country or group. You can toggle between countries and groups at the top of your program window. For this exercise, choose France.&lt;br /&gt;
&lt;br /&gt;
Because you selected a multiplier, the base-case value is always &amp;quot;1&amp;quot;—the model uses multipliers to easily raise or lower base-case values of many variables, and the multipliers are always &amp;quot;1&amp;quot; in the base case, so that values are unchanged by them. A multiplier can be distinguished from a variable because the ending of most multiplier abbreviations is the letter &amp;quot;m&amp;quot;. You could use the Fully Customize option to create any pattern of intervention over time you desire, and at some point you should explore its use. But for now select the High option above the graph and note the change in the figure. This option will phase in a higher fertility for France.&lt;br /&gt;
&lt;br /&gt;
You may also want to more specifically&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/scenario/quick/customization.html customize]&amp;amp;nbsp;the TFRM. This can be accomplished by changing the speed in which your increase or decrease in TFRM takes place (through the slide-down menu on the top right, &amp;quot;Shift Years:&amp;quot;). If you would like more control over your parameters, you can click on the Fully Customize button located below the graph. This will present you with a menu. This will allow you to very specifically change your parameters. Click on the Next Year or Previous Year options to see the numeric representation of how your parameter is being altered from the base-case. You can then choose what year you would like to specifically change, toggle to that year, change the value of that year by clicking on the box next to Desired Value. After you have entered your value, click on the Change/Repeat button to enter it into IFs. This change can then be interpolated for your remaining years by clicking on the Interpolate button. To apply your changes to IFs, click on Exit to Scenario Tree.&lt;br /&gt;
&lt;br /&gt;
Multipliers, however, are not the only[http://www.du.edu/ifs/help/use/scenario/quick/types.html &amp;amp;nbsp;form of parameter]&amp;amp;nbsp;in IFs. If you select a parameter located under the Selected Initial Conditions category, as the name suggests, you will be able to change initial conditions for certain parameters. For example, the HIV infection rate, initial percentage sub-sub-category (Selected Initial Conditions, Demographic – Mortality) will let you numerically alter the initial percentage of the population infected with HIV for your country or group.&lt;br /&gt;
&lt;br /&gt;
If you choose other parameters, for example, the Carbon Tax (Governments/Socio-Political Systems, Environment), you will be presented with a parameter that numerically begins at zero. This is because there currently is no carbon tax in place. You may change the parameter to take into consideration a future world where carbon taxes are a reality.&lt;br /&gt;
&lt;br /&gt;
Finally, if you choose a parameter in the Relationship Parameters category, you will be able to change the relationship between two different parameters. You may want to change the mathematical relationships in the &amp;quot;black-box&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
If you have mistakenly changed a parameter and you would like to remove your alteration, simply click on the parameter change you would like to remove and then click on the Delete Selection option at the top of the menu. You will be asked whether you would really like to delete your parameter change. Click Yes.&lt;br /&gt;
&lt;br /&gt;
Now you have changed a parameter, but it will affect nothing else until you run the model and recalculate all of the variables in it for all of the countries. You have created a Scenario-Load-File (.sce) and, in order to use it more broadly, you need a Run-Result-File (.run). Click on the&amp;amp;nbsp;&#039;&#039;Run Scenario&#039;&#039;&amp;amp;nbsp;option from the menu. Your parameter will first be loaded into the working file. You will then be shown the Running Scenario form. You can change the end year or leave it as is. Click on&amp;amp;nbsp;&#039;&#039;Start Run&#039;&#039;&amp;amp;nbsp;for IFs to create a new run-file based on your specifications.&lt;br /&gt;
&lt;br /&gt;
After IFs has recomputed the model with your new parameters and saved it as a .run file, you will be presented with a screen that says, &amp;quot;Run Successful – Click to Continue.&amp;quot; The run-file labeled &amp;quot;Working File&amp;quot; is now essentially your personalized scenario. Use the techniques you learned in the last section to compare the working file with the base case. But your intervention will have changed much else. Look, for instance, at Gross Domestic Product (GDP) of your country before and after the intervention and at GDP per capita (GDPPC). If your country or grouping was fairly large, you will see changes in many variables elsewhere around the world.&lt;br /&gt;
&lt;br /&gt;
Now return to the Scenario Tree form and select the&amp;amp;nbsp;&#039;&#039;Scenario Files&#039;&#039;&amp;amp;nbsp;option, Name and Save sub-option. Give your scenario a name and the parameter intervention (but not the full results after your run) can be saved for you when you return to IFs later. If you are using the stand-alone (non-Web) version of IFs, the&amp;amp;nbsp;&#039;&#039;Scenario Analysis/File Management/Save&#039;&#039;&amp;amp;nbsp;option sequence also allows you to save all the computed results of the model run.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Parameter Types&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Parameters are numbers that determine relationships among variables in the equations of IFs. You often set parameters to a single value across time and they therefore do not always &amp;quot;vary&amp;quot; as do &amp;quot;real&amp;quot; variables. Many parameters are &amp;quot;policy handles.&amp;quot; More generally, parameters can actually be thought of as a special type of variable, the value of which you set in order to determine the behavior of the model.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Multipliers.&#039;&#039;&#039;&amp;amp;nbsp;They have a normal value of 1, and to increase whatever they multiply (say agricultural yield) by 50 percent you increase the parameter to 1.5. To decrease it by 25 percent you would decrease the multiplier parameter to 0.75. You will almost always spread such changes out over time, keeping the multiplier&#039;s value at 1 in the base year and gradually increasing or decreasing it over a period of years. You should almost never change a multiplier in the initial year because the model is set up to provide accurate results for that year and will compensate for and thereby offset your change. For instance, if you set a multiplier on food production equal to 1.5 for the first year and all years thereafter, you might find that the results were no different than in the base case. You must instead gradually introduce your change, preserving the multiplier value of &amp;quot;1&amp;quot; in the initial year. Examples of multipliers include: AGDEMM, ENPM, FREEDOMM, MORTM, PROTECM, QEM, RDM, RESORM, TFRM, and YLM. Note that multipliers typically end with the letter &amp;quot;M&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Additive Factors.&#039;&#039;&#039;&amp;amp;nbsp;Most have a normal value of 0, thereby leaving that to which you add them (it could be exports) unchanged. How much you would add to achieve a 50 percent increase might depend on the amount to which you added it. Most additive parameters are, however, applied multiplicatively to the quantity they modify (that is, 1 plus the parameter is multiplied times the quantity), thereby scaling the parameter. In that case, the base or normal value of the parameter will be zero, but one can achieve a 50 percent increase in the quantity modified with a value of 0.5 and a 50 percent decrease with -0.5. You will very seldom want to change the base year value of additive parameters because it will either incorrectly change model results in the base year or, more likely, will result in model compensation to protect initial model results. An example of an additive parameter is: XSHIFT. Although earlier versions of IFs used additive factors and multipliers with comparable frequency, most additive factors have been replaced by multipliers to standardize most parameter change.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Exponents.&#039;&#039;&#039;&amp;amp;nbsp;For instance, many &amp;quot;elasticities&amp;quot; raise something to a power. For these parameters the &amp;quot;normal value&amp;quot; will vary greatly, but they will most often fall between -2 and 2, with many clustering around 0. In most cases it will make sense to change these parameters for all years including the first - generally the model will not use them in the first year and they will affect results only in subsequent years. Elasticities in IFs include: ELASAC, ELASS, ENGEL, and PRODME.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Reactivities.&#039;&#039;&#039;&amp;amp;nbsp;These are factors that relate growth in one process to growth in another. Although many will range between -2 and 2 (with 0 eliminating linkage of the processes), some have very large values. They are very much like elasticities, but the formulations that use them do not have exponential form. Reactivities include: CDMF, CPOWDF, CWARF, NWARF, and REAC.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Growth Rates.&#039;&#039;&#039;&amp;amp;nbsp;It is possible to force some processes to grow at specified rates. More commonly, the specified rates serve as targets and the dynamics of the model often shift actual growth rates somewhat, necessitating experimentation with targets to achieve a desired growth. Examples include: EPRODR and TGRLD.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Allocating coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Coefficients are often used in multiplicative relationships with other variables, but many such coefficients are not what were earlier called multipliers (with a base value of 1). Instead they can serve an allocating role. For instance, eyou can use parameters to allocate governmental spending to health, education, and the military. Allocating coefficients frequently have values between 0 and 1. Again, you should generally not change these parameters in the initial year because the model will often compensate for changed values in the first year. Instead, change them by series over time. Allocating coefficients in IFs include: AIDLP, AIDV, CARABR, DRCPOW, DRNPOW, GK, LAPOPR, NMILF, REPAYR, and RFSSH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Transforming coefficients.&#039;&#039;&#039;&amp;amp;nbsp;Some coefficients transform units of variables or link variables in other ways. Examples in IFs are: CARFUEL1, CARFUEL2, CARFUEL3, and FRQK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variables.&#039;&#039;&#039;&amp;amp;nbsp;This category should technically not be called parameters at all. They could and would be computed endogenously, if the model included the appropriate theoretical structure. They generally do not determine the interaction of other variables. Such variables include: AQUACUL and OFSCTH.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Initial conditions.&#039;&#039;&#039;&amp;amp;nbsp;Again, these are not strictly parameters, but rather first-year values for variables subsequently computed by the model. Although many initial conditions, like the population (POP) of the U.S., are sufficiently well-known that they should not be changed by model users, others, like the ultimate availability of oil and gas resources are only reasonable guesses. Thus users should feel free to change some initial conditions based on new data or even simply to test the implications. This category includes a great many variables, such as: LD and RESOR.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Switches.&#039;&#039;&#039;&amp;amp;nbsp;These parameters turn something on or off. They generally take on values of 1 (on) or 0 (off), but can have additional settings. For instance, some switches not only turn on some process, but set a key value within it (like the level of energy exports). Switches are most often on or off for the entire run, but it sometimes makes sense to &amp;quot;throw a switch&amp;quot; in the middle of a run. Switches allow you to fundamentally alter the structure of a model. Switches include: ACTREAON, AGON, ALLY, ENON, ENTL, ENPRIX, and SQUEEZ.&lt;br /&gt;
&lt;br /&gt;
The focus here is on exogenous parameters only - on those elements of the model that you can change. Many computed variables are used in the computation of other variables in the same way that parameters are, as multipliers, additive factors, coefficients, and so on. You can display those, but unlike true parameters, you cannot change them.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Customization of Parameters&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Access to time-variant parameter specification (the Change Values form) can be from either guided scenario analysis or self-managed scenario analysis.&lt;br /&gt;
&lt;br /&gt;
Although most modeling discussions portray parameters as if they should be fixed over time, that is a very limiting conceptualization of them. In fact, it is normally better to specify parameters so that a particular phenomenon (e.g., a change in values concerning fertility, a policy-influenced movement towards higher savings rates, or a development of renewable energy technologies) phases in over time.&lt;br /&gt;
&lt;br /&gt;
Alternative Ways to Use the Change Values Form:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Use the Slider Bar to Change a Parameter for All Years.&#039;&#039;&#039;&amp;amp;nbsp;You move the slider to the left or right to change the parameter value and then touch the Register Change button to actually change the parameter.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Specify a Desired Value for One or More Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired numerical value, indicate the number of years you wish to repeat that value (one or more) and then touch the Change/Repeat button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Interpolate to a Desired Value over Several Years.&#039;&#039;&#039;&amp;amp;nbsp;You specify a desired value, indicate the number of years over which you wish to interpolate to that value, and then touch the Interpolate button.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Move Forward or Backward Across Years.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Previous Year or the Next Year buttons to move across time without changing parameter values.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Cancel all Changes.&#039;&#039;&#039;&amp;amp;nbsp;You touch the Cancel all Changes button to revert to the parameter values before you began making changes.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Example.&#039;&#039;&#039;&amp;amp;nbsp;Try increasing the value of agricultural yields (YL) in Mexico by raising the value of a parameter called &amp;quot;ylm&amp;quot; from 1.0 in the initial year to 1.3 in 2020. That would build in an assumption of a 30% increase in the productivity of African agriculture, relative to the base case. To do this, select Scenario Analysis from the Main Menu and the Self-Managed Scenario Analysis sub-option. On the Self-Managed Scenario Analysis form select the Change option and Full Set sub-option. Specify ylm and choose Mexico as the country/region. Success in doing that will take you automatically to the Change Values (time-variant parameter specification) form. Designate 1.3 as the desired value to which you will interpolate (that is, move gradually over time) and indicate the number of years for the interpolation (say 20). Select the interpolate action option to carry it out. Then identify 1.3 as the desired value you wish to repeat (that should already be done for you), 100 or some other large number as the years to repeat, and select the change/repeat button. Exit and select the Display option. Select ylm for display, and look at it in a table or graph to make sure you have changed this parameter as you desired. It is often a good idea to check the success of a parameter change before running the model.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Understanding Model Computations&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
It is critical that there be as much transparency as possible with respect to computations that underlie the variables chosen for display. In a large, integrated model, achieving such transparency is not simple. You are invited to look at the very extensive Help section called&amp;amp;nbsp;[http://www.du.edu/ifs/help/understand/index.html &amp;quot;Understanding the Model: ‘Opening the Black Box’&amp;quot;]&amp;amp;nbsp;for extensive documentation via flow charts, equations, and computer code.&lt;br /&gt;
&lt;br /&gt;
While working with display of variables, however, there are several ways in which to drill down for explanations of what lies behind their computations. After you have added variable or parameter changes to the Quick Scenario with Tree you can learn more about how a parameter or variable is generated by clicking on it and exploring the options.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Change_Selected_Functions&amp;diff=7512</id>
		<title>Change Selected Functions</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Change_Selected_Functions&amp;diff=7512"/>
		<updated>2017-07-25T15:08:26Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
Variables are forecast based on mathematic relationships that are represented by functions within IFs. These functions can be changed by users based on different understandings of relationships between variables. Users of IFs can change relationships between&amp;amp;nbsp;two variables&amp;amp;nbsp;or&amp;amp;nbsp;multiple variables. Follow the links below to learn more about how to change these relationships.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Bivariate Function Changes&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Begin at the Main Menu of IFs. Choose the Change Selected Functions option under Scenario Analysis. Then choose the Change option and the Change Selected Bivariate Function sub-option. That will give you the Change Bivariate Functions window, below.&lt;br /&gt;
&lt;br /&gt;
[[File:Bi1.gif|center|Changing Bivariate Functions]]&lt;br /&gt;
&lt;br /&gt;
To see the full list of functions or relationships that you can change in IFs, check Extend List. Click on any of the relationships in the Functions list box in order to see the relationship already in IFs.&lt;br /&gt;
&lt;br /&gt;
There are two ways to specify relationships in IFs. The first is called a &amp;quot;table function.&amp;quot; Table functions allow you to specify two or more points in a relationship and let IFs connect those points with lines to create the relationship. This is very simple because you need not understand equations. The second is via &amp;quot;analytic functions&amp;quot; or equations. Look at each in turn.&lt;br /&gt;
&lt;br /&gt;
Option A for Specifying Relationships: Table Functions. Click on the &amp;quot;Play around with this&amp;quot; relationship so that you can do just that. In the Table Function Points frame, you see boxes for specifying new or changing old X-axis and Y-axis values. Let’s start by adding a point to the five that already make up the table function. Specify 7 as the X-axis value and 8 as the Y-axis value. Touch the Add button and the point will be added, creating a relationship between X and Y that increases to a point and then starts down. Try specifying 1 as the X-axis value and 8 as the Y-axis value, then touching the Alter button. Now you have a relationship that starts downward, climbs, and then drops. Table functions give you nearly unlimited control over the form of a relationship. You can always touch Reverse Changes to return to the original form. As it says, play around.&lt;br /&gt;
&lt;br /&gt;
Option B for Specifying Relationships: Analytic Functions (Equations). Click again on the &amp;quot;play around with this&amp;quot; relationship. This time, however, touch the Analytic Function button to call up the following screen.&lt;br /&gt;
&lt;br /&gt;
[[File:Bi2.gif|center|Analytic Functions (Equations)]]&lt;br /&gt;
&lt;br /&gt;
If you do not understand equations, you may want to skip this part of the lesson - table functions can serve you well.&lt;br /&gt;
&lt;br /&gt;
But you can create a simple analytical function by specifying the constant (a) as 20 and the logarithmic parameter (b4) as 3. Leave the other parameters at 0. Note that by selectively specifying various parameters you can create a wide variety of analytic functions (including most of those that Excel will create when you fit lines to scatter plots). You may also specify the lower and upper range over which you will allow the independent variable to vary. For instance, you may not want the independent variable to be negative.&lt;br /&gt;
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Save and Continue returns you to the Change Functions window and displays the analytic form you have specified. Note that the function you have created looks much like the one that Excel fit to the relationship between GDP per capita and life expectancy in Lesson 4. You now have the capability of discovering relationships and good analytic representations of them using Excel on the country-specific data base in IFs and then taking those relationships into IFs itself.&lt;br /&gt;
&lt;br /&gt;
When you Exit from the Change Functions window, IFs gives you a very important informational warning. If you have made any changes to functions, those will remain active only until you exit from IFs. Starting IFs again resets all functions to standard values. Moreover, although runs of the model that you make with altered functions will reflect your changes, no information about the changed functions is saved with the .RUN files. You must keep track of the changes you make in functions.&lt;br /&gt;
&lt;br /&gt;
After you have changed one or more functions, you can run the model and create a new working file that reflects the changed functions and their impact on all computations in IFs. You can compare that working file (or a saved version of it) with the base case or with other scenarios.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Multivariate Changes&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Begin at the Main Menu of IFs. Choose the Self-Managed Scenario Analysis option under Scenario Analysis. Then choose the Change option and the Change Selected Multivariate Function sub-option. That will give you the Change Multivariate Functions window, below.&lt;br /&gt;
&lt;br /&gt;
[[File:Multi.gif|center|Changing Multivariate Functions]]&lt;br /&gt;
&lt;br /&gt;
The form has two grids. The top grid shows a list of all multivariate functions in the model. The bottom grid shows the independent variables and parameters in a particular function, whichever function is high-lighted in the top grid.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Intercepts:&#039;&#039;&#039;&amp;amp;nbsp;Change the intercept value for the function by double-clicking on the value in the intercept cell of the function of interest in the top grid.&lt;br /&gt;
*&#039;&#039;&#039;Other Parameters:&#039;&#039;&#039;&amp;amp;nbsp;Change parameters associated with specific independent variables for a selected function by clicking on the appropriate cell and changing values as desired. The general function at the top of the form explains the meaning of each possible parameter for independent variables. Normally, of course, most parameters will be zero (or null which means 0).&lt;br /&gt;
&lt;br /&gt;
This feature of the model is in early stages of development. Some functions listed are not actually used in the model. Those for State Failure are used and changes in functional form will affect model behavior.&lt;br /&gt;
&lt;br /&gt;
Changing functions gives you a powerful tool for using IFs to investigate possible futures. To an extent, it allows you to change the model itself.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Scenario_Description&amp;diff=7511</id>
		<title>Scenario Description</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Scenario_Description&amp;diff=7511"/>
		<updated>2017-07-25T15:07:43Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A scenario is a story or story outline. Thinking about the future normally involves creating alternative scenarios, or stories, about the possible evolution of drivers. Some such scenarios are exploratory and consider the possible unfolding of different futures around key uncertainties, such as the rate of some aspect of technological advance or the fragility of some element in the global environment. Other scenarios are normative and develop stories about preferred futures, such as a global transformation to sustainability.&lt;br /&gt;
&lt;br /&gt;
Scenarios in a computer model typically are built from multiple interventions that collectively help build a coherent story about the future. Often, but somewhat imprecisely, the word scenario is used more loosely to refer to any intervention (such as the change of a fertility rate for a country or an alternative assumption about oil resources).&lt;br /&gt;
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Scenarios or interventions with respect to what? When IFs or other computer simulations are &amp;quot;run&amp;quot;, without making any changes to parameters or initial conditions specified as the default values, they generate a forecast that is typically called the base case (sometimes reference run). The IFs base case, always available when a model session is initiated, is itself a scenario. Sometimes the base case is incorrectly referred to as a trend extrapolation or a &amp;quot;business as usual&amp;quot; scenario. More accurately, however, the base case of IFs is a computation that involves the full dynamics of the model and therefore has very nonlinear behavior, often quite different from trends. It is a good starting point for scenario analysis for two reasons. First, it is built from initial conditions of all variables and on that has been given reasonable values from data or other analysis. These initial conditions and parameters make up the package of interventions that constitute the base case scenario. Second, the base case is periodically analyzed relative to the forecasts of many other projects across the range of issue areas covered by IFs and is to a degree &amp;quot;tuned&amp;quot; to reproduce the behavior of respected forecasters.&lt;br /&gt;
&lt;br /&gt;
The&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree|Quick Scenario Tree]]&amp;amp;nbsp;allows users to create and save two different kinds of files: Scenario-Load-Files (.sce) and Run-Result-Files (.run). The Scenario-Load-Files files represent changes that were made to the scenario tree but that were not yet entirely run through IFs software. The Run-Result-Files represent files that were originally changes to the scenario tree that were eventually entirely run through IFs software. The running a Scenario-Load-Files file will make those changes permanent and therefore a Run-Result-File.&lt;br /&gt;
&lt;br /&gt;
In addition to the base case, most versions of IFs will include a number of other previously-run scenarios (see&amp;amp;nbsp;[[How_Do_I...?_Lessons_0-4#Lesson_0:_IFs_Vocabulary|Lesson 0]]&amp;amp;nbsp;for additional important terminology), perhaps the set of scenarios for the National Intelligence Council’s (NIC) 2020 Project or those for the Global Environmental Outlook (GEO) of the United Nations Environmental Program. If you look, for instance, at the Packaged Display form, you will see a list of previously-run scenarios in the box at the bottom left of the screen. Because those have already been run, based on a set of interventions constituting their foundations, the user can immediately display their results.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7510</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7510"/>
		<updated>2017-07-25T15:03:02Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
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&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
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This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
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*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
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&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
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&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[[Variable_Selection_Options#Create_Historic_Analog_with_Forecast|Create Historic Analog with Forecast]], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
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&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Variable_Search|select a variable]].&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]].&lt;br /&gt;
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The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
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The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
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The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
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The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[[Geographically-fixed_Displays_(Download)|Packaged Display]].&lt;br /&gt;
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First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
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The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
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The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature allows users to edit the lists of&amp;amp;nbsp;[[Country/Region,_Group_or_G-List|groups]]&amp;amp;nbsp;included in the&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]],&amp;amp;nbsp;[[Self-Managed_Display_(Download)|Self-Managed Display]],&amp;amp;nbsp;[[Specialized_Displays_(Download)|Specialized Display]], and&amp;amp;nbsp;[[Use_IFs_(Download)_Data_Analysis#Analyze_Across_Countries_(Cross-Sectional_Analysis)|Analyze Across Countries]].&lt;br /&gt;
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First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
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With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7509</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7509"/>
		<updated>2017-07-25T15:02:22Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
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*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
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&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[[Variable_Selection_Options#Create_Historic_Analog_with_Forecast|Create Historic Analog with Forecast]], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
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&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Variable_Search|select a variable]].&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
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The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
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The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
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The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[[Geographically-fixed_Displays_(Download)|Packaged Display]].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[[Country/Region,_Group_or_G-List|groups]]&amp;amp;nbsp;included in the&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]],&amp;amp;nbsp;[[Self-Managed_Display_(Download)|Self-Managed Display]],&amp;amp;nbsp;[[Specialized_Displays_(Download)|Specialized Display]], and&amp;amp;nbsp;[[Analyze_Across_Countries_(Cross-Sectional_Analysis)|Analyze Across Countries]].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7508</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7508"/>
		<updated>2017-07-25T14:58:37Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
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*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[[Variable_Selection_Options#Create_Historic_Analog_with_Forecast|Create Historic Analog with Forecast]], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Variable_Search|select a variable]].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[[Geographically-fixed_Displays_(Download)|Packaged Display]].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7507</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7507"/>
		<updated>2017-07-25T14:57:55Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
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*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[[Variable_Selection_Options#Create_Historic_Analog_with_Forecast|Create Historic Analog with Forecast]], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
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&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Variable_Search|select a variable]].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[[Flexible_Displays_(Download)|Flex Packaged Display]].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7506</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7506"/>
		<updated>2017-07-25T14:56:57Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[[Variable_Selection_Options#Create_Historic_Analog_with_Forecast|Create Historic Analog with Forecast]], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Variable_Search|select a variable]].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7505</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7505"/>
		<updated>2017-07-25T14:53:12Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7504</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7504"/>
		<updated>2017-07-25T14:52:53Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Display_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7503</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7503"/>
		<updated>2017-07-25T14:52:00Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Append to Display List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
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&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
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&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
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The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7502</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7502"/>
		<updated>2017-07-25T14:49:55Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList|&#039;&#039;&#039;Edit GList&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
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&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
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&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
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&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
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The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
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The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
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The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
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The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
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First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
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The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
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The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7501</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7501"/>
		<updated>2017-07-25T14:48:29Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[#Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[#Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[#Edit_GList_.27.27.27Edit_Glist.27.27.27|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7500</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7500"/>
		<updated>2017-07-25T14:47:52Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
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*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Variable_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[#Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;: &#039;&#039;&#039;This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[[Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[Edit_GList_&#039;&#039;&#039;Edit_Glist&#039;&#039;&#039;|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
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&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7499</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7499"/>
		<updated>2017-07-25T14:41:32Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create Variable List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*[[Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[Edit_GList_&#039;&#039;&#039;Edit_Glist&#039;&#039;&#039;|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7498</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7498"/>
		<updated>2017-07-25T14:40:49Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create Variable List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*[[Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[Edit_GList_&#039;&#039;&#039;Edit_Glist&#039;&#039;&#039;|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7497</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7497"/>
		<updated>2017-07-25T14:39:58Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create Variable List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*[[Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[Edit_GList_&#039;&#039;&#039;Edit_Glist&#039;&#039;&#039;|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7496</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7496"/>
		<updated>2017-07-25T14:31:23Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[[#Create_Display_List|&#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[[#Create_GList|&#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[[#Create_Index|Create Index from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*[[#Create_Historic_Analog_with_Forecast|&#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&#039;&#039;&lt;br /&gt;
*[[Create_Differentiation_in_Formulas_for_History_and_Forecast|&#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&#039;&#039;&#039;&lt;br /&gt;
*[[Edit_Variable_List|&#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[[Edit_Display_List|&#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[[Edit_GList_&#039;&#039;&#039;Edit_Glist&#039;&#039;&#039;|&#039;&#039;&#039;Edit GList&#039;&#039;&#039; &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[[#Append_to_Variable_List|Append to Variable List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[Edit_Variable_List|Edit Variable Lists]].&lt;br /&gt;
*&#039;&#039;&#039;[[#Edit_Variable_List|Append to Display List from Selection Status Box]]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[[#Edit_Display_List|Edit Display Lists]].&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
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&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
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&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
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&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
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&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
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&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
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&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
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&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
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Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
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A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
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After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
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= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
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The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
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The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
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Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
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Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
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Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
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After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
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Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
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For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
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&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
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The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
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&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
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&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
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&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
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&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
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&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
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&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
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After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
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The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
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After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
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The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
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The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
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The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
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The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
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This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
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First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
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The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
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The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
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First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
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With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7495</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7495"/>
		<updated>2017-07-25T14:24:37Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createlist.html &#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/displaylist.html &#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createglist.html &#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createindex.html Create Index from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html &#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/differentiation.html &#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editlists.html &#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editdisplist.html &#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editglist.html &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/appendvar.html Append to Variable List from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editlists.html Edit Variable Lists].&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/appenddisplay.html Append to Display List from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editdisplist.html Edit Display Lists].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7494</id>
		<title>Variable Selection Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Variable_Selection_Options&amp;diff=7494"/>
		<updated>2017-07-25T14:18:36Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== &amp;lt;span style=&amp;quot;font-size:medium;&amp;quot;&amp;gt;Overview&amp;lt;/span&amp;gt; ===&lt;br /&gt;
&lt;br /&gt;
This Full Variable/Parameter Selection display option allows users to narrow down the different parameters and variables that are availed for display in the Type Name Box. Some users will want to narrow down the amount of variables/parameters for reasons of simplicity. Other users will want to narrow down the amount of variables/parameters displayed for practical reasons. For example, choosing the Historic Plus Forecast option allows users to see historic data plus forecast displayed on the same graph.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Explain Names&#039;&#039;&#039;: Selecting this option opens a new window that briefly explains the difference between parameters and variables located in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables&#039;&#039;&#039;: Selecting this option displays only variables in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variables and Parameters&#039;&#039;&#039;: Selecting this option displays both variables and parameters in the Type Name selection box.&lt;br /&gt;
*&#039;&#039;&#039;Show Variable and Display Lists&#039;&#039;&#039;: Selecting this option displays variables and display lists in the Type Name selection box. Variable lists and display lists are created to be re-used for display purposes as a set either in self-managed display on in flex packaged display. They can be used with any country/region, group or Glist. Variable lists have variables and parameters saved for re-use. Display lists have variables, parameters plus countries/regions and/or groups for re-use.&lt;br /&gt;
*&#039;&#039;&#039;Show Historic Plus Forecast&#039;&#039;&#039;: Selecting this option displays historic data and forecasts in the Type Name selection box. In many, but by no means all cases, variables in IFs have historic analogs in the IFs database. For instance, the variable POP in IFs represents population by country/region or group does the variable population in the data set. This sub menu option displays all IFs variables with such analogs. When it is active and you select a variable for display, a table or graph will show values from 1960 through 1998 from historic data and from 2000 forward from the IFs forecast.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createlist.html &#039;&#039;&#039;Create Variable List from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]: This option allows users to create a Variable List that can then be re-used for display purposes for various countries/regions or groups.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/displaylist.html &#039;&#039;&#039;Create Display List from Selection Status&#039;&#039;&#039;&amp;amp;nbsp;]: This option allows users to create lists of a parameter or variable for a selection of countries/regions and/or groups. This feature can then be displayed in Flex Package Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createglist.html &#039;&#039;&#039;Create Glist from Selection Status Box&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows users to create lists of countries/regions and groups for display. Glists are combinations of country/regions and groups that are available for display.&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/createindex.html Create Index from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;: This feature allows users to create indexes. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html &#039;&#039;&#039;Create Historic Analog with Forecast&#039;&#039;&#039;&amp;amp;nbsp;]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/differentiation.html &#039;&#039;&#039;Create Differentiation in Formulas for History and Forecast&#039;&#039;&#039;&amp;amp;nbsp;]&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;&#039;: This feature allows users to access and modify formulas of variables between the historic data of IFs and the forecasted data of IFs.&#039;&#039;&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editlists.html &#039;&#039;&#039;Edit Variable List&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows the user to edit a variable or parameter currently listed in Flex Packaged Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editdisplist.html &#039;&#039;&#039;Edit Display List&#039;&#039;&#039;&amp;amp;nbsp;]: This feature allows the user to edit a variable or parameter currently listed in Packaged Display.&lt;br /&gt;
*[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editglist.html &#039;&#039;&#039;Edit Glist&#039;&#039;&#039;&amp;amp;nbsp;]: A user can edit the groups and regions that comprise a given glist from this feature. See country/region or group for more information on how IFs uses these terms.&lt;br /&gt;
*&#039;&#039;&#039;&#039;&#039;&#039;Define Report Category&#039;&#039;&#039;&amp;amp;nbsp;&#039;&#039;&#039;: This option allows users to view exactly to which category each parameter and variable belong. It is also possible to change this categorization by selecting a parameter or variable from a list and then re-typing the category name.&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/appendvar.html Append to Variable List from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editlists.html Edit Variable Lists].&lt;br /&gt;
*&#039;&#039;&#039;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/appenddisplay.html Append to Display List from Selection Status Box]&amp;amp;nbsp;&#039;&#039;&#039;:&amp;amp;nbsp;This feature is a quick way to add a selected variable/parameter to a variable list. The use of this feature is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/editdisplist.html Edit Display Lists].&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
As the title of this section implies, this feature of IFs allows users to create lists of variables that are not country/region, group or Glist specific that can then be displayed in Flex-Packaged Display. Selecting this option brings up a new window. From this window you can do the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Single-click on any list in order to place it in the Select a List box located at the top of the Create Variable List window. After your list appears in the Select a List box, you can change the display name, add or remove display variables or change the category under which your variable list will be grouped. If you would like to delete a list, simply double-click on the list.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a variable list, it will appear in the upper-most box. Change the name by highlighting the entire name in this box and type in the new name you would like. After you have finished, click on the Update List Name button to change the name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;Select a variable name and it will be placed in the box titled Selected Variable Names. If you have multiple variables displayed in the Selected Variable Names box, it is possible to change their ordering by moving them up or down in the list or deleting them by double-clicking on their name.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category or Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a variable list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create lists of selected variables for display purposes in Packaged Display. These display lists are country/region, group or Glist specific. Selecting this option will bring up a new window asking for the name of the list you would like to create. Type in a name and click OK.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;List Name:&#039;&#039;&#039;&amp;amp;nbsp;Select a List Name to alter. Selecting a list will display the list name in the Select a List box located at the top of the screen as well as detailing the various variables to be displayed and for what geographic region. Also, the Category and Legend Name assigned to the display list you have selected are displayed at the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update List Name:&#039;&#039;&#039;&amp;amp;nbsp;When a list name is in the uppermost box, you can highlight the name, type in a new name and click on Update List Name. You must select Update List Name in order to save changes you made.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Selected Variable Names:&#039;&#039;&#039;&amp;amp;nbsp;By double-clicking on any of the variable names in the list, you can delete them. You can also alter the order in which they are saved by highlighting a variable and then clicking on Move Up or Move Down.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Change Category and Legend Name:&#039;&#039;&#039;&amp;amp;nbsp;After you have selected a list, you can change the Category and Legend Name. Simply highlight the name, type in a new name and then click on Update Category and Display Title.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Update Category and Display Title:&#039;&#039;&#039;&amp;amp;nbsp;After you have made any change to a display list that you would like to save, you must click Update Category and Display Title.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create GList&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This option can be found by accessing Full Variable/Parameter Self Managed display from the Display option located on the main menu of IFs and then selecting Variable Selection Options.&lt;br /&gt;
&lt;br /&gt;
Glists are one way users are able to organize data into geographic regions. Currently, there are three different geographic units for display and organization: country/regions, groups and Glists. In order to create a Glist, a user must first select one variable/parameter for a select cohort of countries/regions or groups. Once these have been placed into the Selection Status Box, click on Variable Selection Options and then on Create Glist.&lt;br /&gt;
&lt;br /&gt;
A window will appear that asks you to name your Glist. Once this is completed, a new window appears. It allows you to change the name of the Glist at the top of the screen, organize and delete Glists that are stored on your computer and more completely create your list. For example, if you only choose two groups with which to create your list, this window will allow you to add countries/regions or more groups to your Glist.&lt;br /&gt;
&lt;br /&gt;
After a Glist has been created, click Update Name and then Continue. The Glist has now been created, but, in order to make the change permanent, the IFs.MDB file must be manually coppied to the Data directory after exiting IFs.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Index&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The IFs program has several indexes which the user may find helpful in conducting research. However, the program also has the capacity to allow the user to generate his own indexes, should the need arise. The indexes created here are accessible in both the Full Variable/Parameter Selection box and in Flex Packaged Display.&lt;br /&gt;
&lt;br /&gt;
The country selected for this example is Venezuela, with the index HDI2. Notice that the index is composed of three variables: GDPPCP, LIT, and LIFEXP. To delete a given variable, simply double-click on one. To add more variables, go to Equation Options and select Add More Variables. A promt will appear to enter the list name, and after entering in a name, the user is able to select variables to add to the index. Make sure to select the same country for which the index is being created. Select TFR, or Total Fertility Rate. Then, click on Back to Index Creation.&lt;br /&gt;
&lt;br /&gt;
The scaling factors represent the range of the values contained within the variables. The minimum values are in the first row, while the maximum values are in the second. While the IFs program automatically enters in the minimum and maximum values, the user is able to manually change the minimum and maximum values, should the need arise. The user can change the values either by clicking on a value, or by selecting Scaling, located in the bar at the top of the screen. By selecting Scaling, the user is also able to adjust the time horizon for the values: ethe entire time horizon, the base year, or Other, which allows the user to select between 2 and 95 years. Note that changing the minimum and maximum values will result in corresponding changes in the equation near the bottom of the screen.&lt;br /&gt;
&lt;br /&gt;
Adjusting the Weight Factors will give one or more variables greater weight in relation to the other values. Type in the desired weight, and click Update Eq. The adjusted weight will appear in the equation.&lt;br /&gt;
&lt;br /&gt;
Selecting Transformation Rules allows the user to select between logarithms, linear, base 10, and manually-entered rules for transformation.&lt;br /&gt;
&lt;br /&gt;
Valence refers to whether a higher number or lower number is preferable in the index. The “+” sign denotes a higher number as preferable, while a “–“ denotes a lower number as preferable.&lt;br /&gt;
&lt;br /&gt;
After entering in the name for the new index, go to Save Options to either save and continue using the model, or to just save.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Historic Analog with Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create a formula of variables in the historic data set to match representation of a variable in IFs forecasts. For example, if you were interested in creating a display that showed both historic and forecasted information for the amount of foreign aid given to a select geographic region, this feature of IFs will allow you to successfully accomplish your task.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select Variable&#039;&#039;&#039;: The first box, titled the “Select Variable” box allows you to begin to construct your display formula by selecting a historic variable used in IFs. For the example that was referred to in the beginning narrative of this help topic, we would need to select the AID variable.&lt;br /&gt;
&lt;br /&gt;
For other tasks, click on any variable/parameter in order to bring it up into the box located at the top of the variable/parameter selection list. Additionally, you can put your cursor in the box and type the first few letters of the variable/parameter you are looking for in order to search more quickly.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Create Formula&#039;&#039;&#039;: After selecting a historic variable, a new option becomes available at the top of this window. It is now possible to create the formula. Selecting this option will bring up a new window that allows you to create your own formula for comparing variables/parameters. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. For the above example, we would like to take the historic foreign aid variable and tie it to the forecasted variable for foreign aid. Other formulas may be more complex. The formula to use is simple: use any standard character to represent your variable, in this case, use the letter a. After typing in this formula, hit Enter or click on Select Vars. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click OK. This will bring you back to the Type your Formula window, also titled the Computations menu.&lt;br /&gt;
&lt;br /&gt;
The variable(s) you selected for your formula is (are) displayed in the lower half of the Computations window. Click on Select Vars. This will take you to another window where you can select a variable. In the case of the example above, we want to select the same variable forecasted into the future. The forecasted variable is labeled AidRec. Select this variable and you will be prompted to specify a geographic representation. For this example, choose India. After you have selected the variables you want, click Exit: You will then return to the Computations menu. The variable/parameter you have chosen is displayed in the lower half of this window. Click Exit. You will return to the Create Historic Analog option with Formula.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Save Formula in Analog Option&#039;&#039;&#039;: This feature becomes available after you have created a formula. Click on this option to save your formula. This will bring up a warning that, if you want to firmly save changes, you will have to manually copy IFsVar.MDB from the local driver to the Data directory after exiting IFs. After you have saved your formula, the AID – Aid (foreign), net – Billion $ variable is labeled with ***** has FORMULA *****.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue&#039;&#039;&#039;: Click here in order to go back to the previous menu. After you have created a formula and saved it, it is now possible to display. You will return to the Full Variable/Parameter Self Managed Display screen where you can select your variable, choose the same geographic location and then click Display. Choose to display the Indian aid received example as a line graph. You will see a graph that displays India’s aid received historically and it forecasted into the future.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Create Differentiation in Formulas for History and Forecast&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature of IFs allows users to create formulas of variables that allow transferability between variables that are either historic and forecasted or variables that are both forecasted. This feature of IFs is similar to&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/variable/analog.html Create Historic Analog with Forecast], but offers users more flexibility by allowing them to work with two forecast variables. Select this option and a new window will appear asking you to choose between Computation History or Computation Forecast.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation History&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. Your formula can be as simple as one letter, as can be seen by reading the Create Historic Analog with Forecast help topic.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/selectingvar/search.html select a variable].&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Computation Forecast&#039;&#039;&#039;: Selecting this will present a new window that will ask you to input a formula. From here you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type your Formula&#039;&#039;&#039;: In the box, type in a formula you would like IFs to calculate. After typing in this formula, click Enter. This will bring up a new window. From this window, you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Formula Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Dimension Name&#039;&#039;&#039;: Type in the formula name you would like.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Units Name&#039;&#039;&#039;: Type in the Units Name you would like.&lt;br /&gt;
&lt;br /&gt;
After you have typed in the names you prefer, click Enter: This will bring you back to the Type your Formula window.&lt;br /&gt;
&lt;br /&gt;
The variables you used in your formula are now displayed at the bottom of the screen in the left column: Now, click on Select Vars. You will return to the Full Variable/Parameter Selection window where you will select a variable.&lt;br /&gt;
&lt;br /&gt;
After you have selected the variables you want, click Exit: You will then return to the Type your Formula menu. The variable/parameter you have chosen to incorporate a formula into will be labeled.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
The user can edit the name, composition, and category title of variable lists that appear in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display].&lt;br /&gt;
&lt;br /&gt;
The first step is to select a variable list to edit. For example, scroll down and select the variable “Agricultural Production, History plus Forecast” from the list of names. Make sure not to double-click on the name, as the program will delete the variable. After clicking on Agricultural Production, the full name should appear in the small box at the top of the screen. Replace the words, “History plus Forecast” with “Test.” Click on the Update List Name button. Now, upon opening the Flex Packaged Display, the renamed variable list should be included in the list of variables on the left side of the screen. Return to Edit Variable List.&lt;br /&gt;
&lt;br /&gt;
The two boxes located beneath the List Name box, labeled Variable Names and Selected Variable Names, allow the user to add or delete the variables that compose the variable list. The Variable Names box is a list of variables from which the user can select, while the box on the right shows the names of the variables included in the variable list. To add a variable, scroll through the variable names and double click on AGDEM-Agricultural demand. The variable should have appeared at the bottom of the list in the Selected Variable Names box. The user can adjust the location of the selected variables in the list by clicking on the Move Up or Move Down buttons. To remove the variable AGDEM from the Selected Variable Names box, simply double-click on the variable.&lt;br /&gt;
&lt;br /&gt;
The Selected Variable Names box shows the particular variables that make up a variable list. With Agricultural Production selected, the variable AGP-Agricultural Production should be listed in the Selected Variable Names box. Agricultural Production is thus composed of a single variable. However, some variable lists include multiple variables. For instance, scroll down in the variable box and select the list named SOFI Forecast Variables. Instead of a single variable, approximately 20 variables should be displayed in the Selected Variable Names box.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a variable list belongs. Simply delete the current name, and type in the desired category. To use an example, select Agricultural Production again. The category for this variable list is Agriculture, of course. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Flex Packaged Display, and under the Category column, scroll down. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This feature is used to edit the types of Displayed available in&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/packaged.html Packaged Display].&lt;br /&gt;
&lt;br /&gt;
First select a display list to edit. For instance, select “Democracy Level of Large Developing Regions” from the List Names box. Make sure not to double-click on the name, as the program will delete the display list. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update List Name button. Now, upon opening the Packaged Display, the renamed display list should be included in the list of display types located on the left side of the screen. Return to Edit Display List.&lt;br /&gt;
&lt;br /&gt;
The next box down from the top of the screen is titled Selected Variable Names. This box shows the particular variables that make up a display list. With “Democracy Level of Large Developing Regions” selected, the four variables should be listed in the Selected Variable Names box. This display list is thus composed of four variables. Experiment with selecting other display lists to see of which variables they are composed. Simply double-click on a variable to delete if from a display list.&lt;br /&gt;
&lt;br /&gt;
The user can change the category to which a display list belongs. Simply delete the current category name, and type in the desired category. The category name for the “Democracy Level of Large Developing Regions” display list is Governance. Delete the current category name and type in “Test”. Hit the Update Category and Display Title button. Now, open the Packaged Display, and scroll down in the Category column. The category “Test” should be located near the bottom of the column. To change the category name back to the original, simply repeat the steps used to change the name.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Edit GList&amp;lt;/span&amp;gt; =&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
This feature allows users to edit the lists of&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/repeated/countryregion.html groups]&amp;amp;nbsp;included in the&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/flexpackaged.html Flex Packaged Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/selfmanaged/index.html Self-Managed Display],&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/display/specialized/index.html Specialized Display], and&amp;amp;nbsp;[http://www.du.edu/ifs/help/use/data/crosssectional/analyzecountries.html Analyze Across Countries].&lt;br /&gt;
&lt;br /&gt;
First, select a Glist to edit. For instance, select “Africa and Subregions” from the second box from the top. Make sure not to double-click on the name, as the program will delete that Glist. Clicking on the name should cause it to appear in the small box located at the top of the screen. Add the word “Test” to the end of the name. Click on the Update Name button. Now, upon opening the Flex Packaged Display, and then, under Grouping Options, selecting “Using Glists”, the renamed Glist should be included in the list of display types located on the left side of the screen. Return to Edit Display List, and simply reverse the steps to change the Glist to it’s original name&lt;br /&gt;
&lt;br /&gt;
With the Glist “Africa and Subregions” still selected, take a look at the two boxes at the bottom of the screen. The box on the left shows the regions and/or groups of which the selected Glist is composed. The box on the right shows the countries, regions, and groups which the user can add to a Glist. The toggle switch located in the middle of the screen allow the user to display countries or regions/groups in the box on the bottom-right of the screen. Click on the “Groups” option on the toggle switch. Next, double-click on “ACC High Income”, from the list of groups in the box in the bottom-right section of the screen. That group should now appear in the list in the bottom-left side of the screen. To remove it from that list, simply double-click on it.&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Variable List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Variable List from Status Selection Box. Next, select the List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Append to Display List&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
To use this feature, simply select the variable/parameter to add. Under Variable Selection Options, select Append to Display List from Status Selection Box. Next, select the Display List to add the variable/parameter to, and then click Continue. The next screen that opens is Create Variable List Names. Notice that the new variable/parameter is now included in the Selected Variable Names box. Click Exit to return to Full Variable/Parameter Selection.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
	<entry>
		<id>https://pardeewiki.du.edu//index.php?title=Selecting_Variables/Parameters_Options&amp;diff=7493</id>
		<title>Selecting Variables/Parameters Options</title>
		<link rel="alternate" type="text/html" href="https://pardeewiki.du.edu//index.php?title=Selecting_Variables/Parameters_Options&amp;diff=7493"/>
		<updated>2017-07-25T14:16:42Z</updated>

		<summary type="html">&lt;p&gt;CamrynDreyer: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Type Name Box&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Through this box you can access all of the variables and parameters in IFs for display. There are some organizing principles; some variables that are grouped around common display items are labeled similarly. For example, population measures are labeled POP. Finally, variables are distinguished from parameters by their abbreviated label being typed in capital letters while parameters are represented in lower case letters. If you are unable to find the variable or parameter that you are looking for, you may want to open the&amp;amp;nbsp;[[Self-Managed_Display_(Download)|Variable Search]]&amp;amp;nbsp;option.&lt;br /&gt;
&lt;br /&gt;
When you have found what you are looking for, click on it. You will then be asked to narrow your display choices. You may be asked to choose a country/region, group or Glist. Additionally, other variables or parameters can be displayed more narrowly or broadly depending on your interests. For example, if you choose Agriculture Demand (AGDEM), you will have to select a country/region, group or Glist and then whether you would like agricultural demand for Crops, Meat or All to be displayed. After making your selection, your variable/parameter will be displayed in the&amp;amp;nbsp;[[Display_Menu_Options#Status_Box_for_Display|Status Box for Display]].&lt;br /&gt;
&lt;br /&gt;
You can use the Type Name Box in two ways:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Slider Bar use:&#039;&#039;&#039;&amp;amp;nbsp;Note that there is a &amp;quot;slider bar&amp;quot; on the right-hand side of the &amp;quot;Type Name&amp;quot; list box. The slider bar has an upward pointing arrow at its top and a downward pointing arrow at its bottom. Click with your mouse on the bottom arrow and see the list in the box move down by one variable name. Or click between the arrows to see it move down faster. Experiment. Keep clicking between the arrows until you see the variable name &amp;quot;POP&amp;quot; in the list box. Click on that name. Because population is a variable dimensioned across model countries/regions , a list of those countries/regions appears. Click on Mexico and see your selection of the variable POP for Mexico appears in the Status Box.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Input Line use:&#039;&#039;&#039;&amp;amp;nbsp;Now use your mouse to position the cursor inside the Input Line at the top of the list box (it is probably already there). Once the cursor is in the box you can simply type the letters &amp;quot;POP&amp;quot; and you will see the list move to that variable name as you type. Touch the &amp;quot;Enter&amp;quot; key on your keyboard and you will again be asked to select a country/region. This time select a different country/region. You should now see population for both selections in the &amp;quot;Status Box.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Files Available for Display Box&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This box is located on the bottom left-hand side of the Full Variable/Parameter Selection. This box allows users to select different Run-Result-Files for display. Click on one of the files displayed in this box before you have selected the variable/parameter you would like displayed. In order to change the Run-Result-Files that are displayed in this box, select&amp;amp;nbsp;[[Selecting_Variables/Parameters_Options#Scenario_Output_Files|Scenario Output Files]]&amp;amp;nbsp;from the Self Managed Full Variable/Parameter Selection menu and then click on Attach More Scenario Output Files. Additionally, from Scenario Output Files, you can see a brief explanation of the numbering of different Run-Result-Files and also view a brief overview of scenario analysis.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Show a Subset of Names&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This box is located on the bottom right-hand side of the Self Managed Full Variable/Parameter Selection screen. Clicking on one of these larger categories will display variables/parameters that fall into the category you have selected. Use this feature to narrow your variable/parameter selection down for easier searching.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Variable Search&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
Sometimes it is difficult to find your variable in the&amp;amp;nbsp;[[Selecting Variables/Parameters Options#Type Name Box|Type Name Box]]&amp;amp;nbsp;because it may be obscure, or you it may be labeled in a way that is unfamiliar to you. If you are having a hard time finding what you are looking for, the best option is to open the Variable Search feature. This will search through brief definitions of all of the variables and parameters used in IFs.&lt;br /&gt;
&lt;br /&gt;
Selecting this option will bring up a new window. From this window you can accomplish the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Type Variable Name:&#039;&#039;&#039;&amp;amp;nbsp;In the top box, type in a variable name and click Search. This will bring up any variable/parameter that has your search term in its name/definition.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Load:&#039;&#039;&#039;&amp;amp;nbsp;After you have located a variable/parameter you would like to see displayed, click Load.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Continue:&#039;&#039;&#039;&amp;amp;nbsp;Click here if you would like to return to the previous menu.&lt;br /&gt;
&lt;br /&gt;
Please click on the links below to access these topics:&lt;br /&gt;
&lt;br /&gt;
[[Define, Drivers, Explain, Code and Delete|Define; Block Diagram; Equations; Linkages]]&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Scenario Output Files&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This menu option of&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Self Managed Display Full Set of Variables/Parameters]]&amp;amp;nbsp;allows users to learn about and manage different scenarios and Run-Result-Files. Through this feature, you can take scenarios that you build in the&amp;amp;nbsp;[[Quick_Scenario_Analysis_with_Tree#Overview|Quick Scenario Tree]]&amp;amp;nbsp;and display different variables and parameters.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Explain File Numbering:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option brings up a new window that provides a brief explanation of Run-Result-Files.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Attach More Scenario Output Files:&#039;&#039;&#039;&amp;amp;nbsp;Most Run-Result-Files will be automatically found by IFs in the Runfiles sub directory of the IFs program directory. Occasionally, Run-Result-Files will have been saved in other locations. Selecting this option allows users to identify paths to additional directories of Run-Result-Files for display. This will open a new window that allows users to browse through their computer until they find the .run file they would like to display. Click the file you would like to display and then Open.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Explain Scenario Analysis:&#039;&#039;&#039;&amp;amp;nbsp;Selecting this option opens a new window that briefly explains scenario analysis.&lt;br /&gt;
&lt;br /&gt;
= &amp;lt;span style=&amp;quot;font-size:xx-large;&amp;quot;&amp;gt;Open IFs Base/Hist and Historic Variable Options&amp;lt;/span&amp;gt; =&lt;br /&gt;
&lt;br /&gt;
This is a crucial feature of the&amp;amp;nbsp;[[Full_Set_of_Variables/Parameters|Full Variable/Parameter Selection]]&amp;amp;nbsp;screen. This allows users to work with empirical and forecasted variables most useful for historic validation.&lt;br /&gt;
&lt;br /&gt;
Click on the Open IFsBaseHist to access this historic empirical data and the historic forecasts. It will take a moment to load all of the variables and parameters. When you have the variables loaded into the Display Box, you can begin looking at this historic data by clicking on Display. Some users find this feature helpful in creating large data sets that they can then export. When you are choosing a variable/parameter, choose World (in groups) or ALL (in country/region) as your geographic unit for display. This will load each country where data is available for the given parameter/variable into the Display Box. After clicking on Display and then Table, you can export this data to Excel.&lt;br /&gt;
&lt;br /&gt;
Other users will find the ability to validate the model a useful aspect of the IFs Base/Hist. Users can compare forecasted variables against empirical variables from 1960-2000. This feature allows users to validate the model over different areas and different variables. Choose Select for Validation and begin comparing. The model can also be validated by choosing from History Variable Options. Choose Select from Forecasted Historic Variables and select a variable from the Type Name Box. Then, choose Select from Empirical Historic Variables and choose the same variable.&lt;br /&gt;
&lt;br /&gt;
After the IFsBaseHistoric is opened, a new feature becomes available on the Self Managed Full Set of Variables/Parameters menu: Historic Variable Options. This includes the following:&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;*Note: When IFsBaseHist is opened, it will remain opened until users choose to re-open IFsBase.&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select from Forecasted Variables:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to display variables that are forecasted from 1960-2000. The ability to forecast historic variables is helpful in the validation of the IFs model. It is possible to graphically display runs of the model against historic, empirical data. When this is selected, two run-files appear in the Files Available for Display box: 0 – Working File and 1 – IfsBaseHist.run.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select from Empirical Historical Variables:&#039;&#039;&#039;&amp;amp;nbsp;This allows users to display all empirical data that underpins the functioning of IFs. This data is taken from 1960-2000 where available and can be used to compare against forecasted historic data starting in 1960. When this option is selected, the run-file available in the Files Available for Display box changes to -1 History Data from IFS_HistSeries.MDB.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Select for Validation:&#039;&#039;&#039;&amp;amp;nbsp;This feature of IFs allows users to validate the efficacy of the model against empirical data starting in 1960. Selecting this option will open a dialogue box that asks you to choose a variable for validation. You will then be prompted to choose a forecasted variable for validation. After choosing two variables (make sure they you choose the same variable for historic and forecasted data), click on Display.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Open for Validation:&#039;&#039;&#039;&amp;amp;nbsp;Choosing this option allows users to open a validation file (.val) to use to assess the accuracy of the IFs model. After you have opened a file for validation, select Display, History and then Validation.&lt;/div&gt;</summary>
		<author><name>CamrynDreyer</name></author>
	</entry>
</feed>