PARAMETER ESTIMATION FOR A COMPUTABLE GENERAL EQUILIBRIUM MODEL: A MAXIMUM ENTROPY APPROACH

dc.creatorArndt, Channing
dc.creatorRobinson, Sherman
dc.creatorTarp, Finn
dc.date2017-04-01T19:17:12Z
dc.date.accessioned2026-07-09T04:31:00Z
dc.descriptionWe introduce a maximum entropy approach to parameter estimation for computable general equilibrium (CGE) models. The approach applies information theory to estimating a system of nonlinear simultaneous equations. It has a number of advantages. First, it imposes all general equilibrium constraints. Second, it permits incorporation of prior information on parameter values. Third, it can be applied in the absence of copious data. Finally, it supplies measures of the capacity of the model to reproduce the historical record and the statistical significance of parameter estimates. The method is applied to estimating a CGE model of Mozambique.
dc.identifierdoi:10.22004/ag.econ.42456
dc.identifierhttps://ageconsearch.umn.edu/record/42456/files/tmdp40.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/42456
dc.identifier.urihttp://hdl.handle.net/123456789/551060
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/42456
dc.titlePARAMETER ESTIMATION FOR A COMPUTABLE GENERAL EQUILIBRIUM MODEL: A MAXIMUM ENTROPY APPROACH
dc.typeText

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