Parameter estimation for a computable general equilibrium model: a maximum entropy approach

dc.creatorArndt, Channing
dc.creatorRobinson, Sherman
dc.creatorTarp, Finn
dc.date2002-05
dc.date2024-10-24T12:43:43Z
dc.date2024-10-24T12:43:43Z
dc.date.accessioned2026-06-27T15:16:19Z
dc.descriptionThe authors 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."-- from Abstract.
dc.identifierhttps://hdl.handle.net/10568/156294
dc.identifier.urihttp://hdl.handle.net/123456789/99521
dc.languageen
dc.publisherElsevier
dc.rightsLimited Access
dc.sourceArndt, Channing; Robinson, Sherman; Tarp, Finn. 2002. Parameter estimation for a computable general equilibrium model: a maximum entropy approach. Economic Modelling 19(3): 375-398. https://doi.org/10.1016/S0264-9993(01)00068-2
dc.subjectequilibrium theory
dc.subjectmodels
dc.subjectcomputable general equilibrium models
dc.subjectagriculture
dc.titleParameter estimation for a computable general equilibrium model: a maximum entropy approach
dc.typeJournal Article

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