Version 7.92 (December 19th, 2023): Difference between revisions
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PREVIOUS VERSION | INDEX PAGE | NEXT VERSION | [[Version 7.92 IP1 (December 9th, 2023)|PREVIOUS VERSION]] | [[Index Page For All Other Version Notes|INDEX PAGE]] | [[Version 7.93 (January 24, 2023)|NEXT VERSION]] | ||
You can download IFs Version [https://ifsfiles.du.edu/IFs%20with%20Pardee%207_92%20December%2019%202022.zip 7.92 VB6 version] and [https://ifsfiles.du.edu/IFs%20with%20Pardee%207_92.NET%20December%2019%202022.zip 7.92 NET version]. | |||
== Interface Updates == | == Interface Updates == | ||
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[[File:TFRBase(China) vs TFRBaseOrg(China).png|none|thumb]] | [[File:TFRBase(China) vs TFRBaseOrg(China).png|none|thumb]] | ||
[[Category:Versions]] | |||
Latest revision as of 22:03, 9 November 2024
PREVIOUS VERSION | INDEX PAGE | NEXT VERSION
You can download IFs Version 7.92 VB6 version and 7.92 NET version.
Interface Updates
Model Updates
- Using ageofmarriagem, female or total, would bring changes in the rates of marriage (female) for both 15 to 19 and 20 to 24.
- Using marriedfemshrm, 15 to 19 or 20 to 24, would bring changes in the average age of marriage (female).
- Food Insecurity Index was added.
- Agriculture equilibration fixes.
- Mfpadd for CAR was added
- Tariff Revenue to SAM fix included.
- Remittances to savings fix included.
Data Updates
- 71 Tables inserted & updated
- All tables are from the latest UNPD WPP release.
- Global Population increased by 300M by the end of the century
_vs_WPOP(Base_Org).png)
- China is the country with the biggest increase (60 M):
_vs_POPBaseOrg(China).png)
- Pakistan is second (50 M):
_vs_POPBaseOrg(Pakistan).png)
- These changes didn’t affect Extreme Poverty much at the Global Level, the biggest difference is 30M in 2045:
_vs_INCOMELT190LNBaseOrg(World)_.png)
- Global TFR is now showing a little bit of a slower decline than before:
_vs_TFRBaseOrg(World).png)
- Biggest increase was for Chad:
_vs_TFRBaseOrg(Chad).png)
- Second was Somalia:
_vs_TFRBaseOrg(Somalia).png)
- Finally, China now looks a little weird, but it follows the data pattern:
_vs_TFRBaseOrg(China).png)