Difference between revisions of "Population - GCAM"

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Historical population and observed GDP are used to calibrate a GCAM simulation using data from 1990, 2005, 2010, and 2015. Prognostic values for population and GDP per capita growth rates are provided by the user, though a default set is provided in the GCAM data base. Alternative assumptions associated with the SSPs are also implemented in the GCAM implementation of the Shared-Socioeconomic Pathways.
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Historical population and observed GDP are used to calibrate a GCAM simulation using data from 1990, 2005, 2010, and 2015. Prognostic values for population and GDP per capita growth rates are provided by the user, though a default set is provided in the GCAM data base. Alternative assumptions associated with the SSPs are also implemented in the GCAM implementation of the Shared-Socioeconomic Pathways [https://jgcri.github.io/gcam-doc/ssp.html].

Latest revision as of 22:45, 28 July 2020

Alert-warning.png Note: The documentation of GCAM is 'in preparation' and is not yet 'published'!

Model Documentation - GCAM

Corresponding documentation
Previous versions
No previous version available
Model information
Model link http://www.globalchange.umd.edu/gcam/
Institution Joint Global Change Research Institute (JGCRI), USA, http://www.globalchange.umd.edu.
Solution concept General equilibrium (closed economy)GCAM solves all energy, water, and land markets simultaneously
Solution method Recursive dynamic solution method
Anticipation GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.

Historical population and observed GDP are used to calibrate a GCAM simulation using data from 1990, 2005, 2010, and 2015. Prognostic values for population and GDP per capita growth rates are provided by the user, though a default set is provided in the GCAM data base. Alternative assumptions associated with the SSPs are also implemented in the GCAM implementation of the Shared-Socioeconomic Pathways [1].