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

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dc.creatorArndt, Channing
dc.creatorRobinson, Sherman
dc.creatorTarp, Finn
dc.date1999
dc.date2024-11-21T09:54:53Z
dc.date2024-11-21T09:54:53Z
dc.date.accessioned2026-06-27T14:59:10Z
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.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/161320
dc.identifier.urihttp://hdl.handle.net/123456789/91211
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceArndt, Channing; Robinson, Sherman; Tarp, Finn. 1999. Parameter estimation for a computable general equilibrium model: a maximum entropy approach. TMD Discussion Paper 40. https://hdl.handle.net/10568/161320
dc.subjectequilibrium theory
dc.subjectmodels
dc.subjectcomputable general equilibrium models
dc.subjectestimation theory
dc.titleParameter estimation for a computable general equilibrium model: a maximum entropy approach
dc.typeWorking Paper

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)