Population - IFs

Note: The documentation of IFs is 'under review' and is not yet 'published'!

Model Documentation - IFs
Model scope and methods - IFs Model concept, solver and details - IFs Temporal dimension - IFs Spatial dimension - IFs Policy - IFs Socio-economic drivers - IFs Population - IFs Economic activity - IFs Macro-economy - IFs Energy - IFs Energy resource endowments - IFs Fossil energy resources - IFs Uranium and other fissile resources - IFs Bioenergy - IFs Non-biomass renewables - IFs Energy conversion - IFs Electricity - IFs Heat - IFs Gaseous fuels - IFs Liquid fuels - IFs Solid fuels - IFs Grid, pipelines and other infrastructure - IFs Energy end-use - IFs Transport - IFs Residential and commercial sectors - IFs Industrial sector - IFs Other end-use - IFs Energy demand - IFs Technological change in energy - IFs Land-use - IFs Agriculture - IFs Emissions - IFs GHGs - IFs Pollutants and non-GHG forcing agents - IFs Carbon dioxide removal (CDR) options - IFs Climate - IFs Non-climate sustainability dimension - IFs Water - IFs Other materials - IFs References - IFs
Corresponding documentation
AIM-Hub BLUES C3IAM COFFEE-TEA DNE21+ GCAM GEM-E3 GRACE IFs IMACLIM IMAGE MESSAGE-GLOBIOM POLES PROMETHEUS REMIND-MAgPIE TIAM-UCL WITCH COFFEE-TEA
Previous versions
Archive of IFs version 7.36
Model information
Model link	https://pardee.du.edu/access-ifs
Institution	Frederick S. Pardee Center for International Futures, University of Denver (Pardee Center), Colorado, USA, https://pardee.du.edu/.
Solution concept
Solution method	Dynamic recursive with annual time steps through 2100.
Anticipation	Myopic

The dominant population equation is a simple addition of births (BIRTHS) at the bottom of the cohort distribution, subtraction of deaths (DEATHS) from each population cohort, and advance of people to the next cohort over time. Although the output from IFs shows population in the standard 5-year age categories, the model maintains single-year categories internally to be consistent with its one-year time steps, thereby avoiding numerical diffusion of changes to the bottom of 5-year categories to higher age categories.

Births are most immediately a function of the total fertility rate (TFR), which in the longer term responds especially to education level of the adult population, infant mortality rates, and contraception usage rates. The model user has direct control over TFR with a multiplier and for low fertility countries with a parameter specifying long-term stabilization level for fertility.

Deaths are primarily a function of age-sex specific mortality rates computed within the IFs health model where they respond in the long run to adult education and also to GDP per capita and technology change, as well as mortality cause specific proximate drivers (e.g. indoor (solid fuel related) or urban air pollution). The model user has direct control over all deaths with a mortality multiplier and over those specific to a cause of health with an alternative mortality multiplier