Solve Stochastic Optimal Growth Model Using Orthogonal Collocation, Markov Process for a (GAUSS)

David DeJong () and Chetan Dave

QM&RBC Codes from Quantitative Macroeconomics & Real Business Cycles

Abstract: Approximates the policy function for consumption with both a and k as state variables, using an orthogonal collocation scheme. a is a markov process. This algorithm is described in Chapter 10 of Macroeconometric Analysis. The authors request that use of these code in published work be acknowledged by citation of the textbook Macroeconometric Analysis, as well by the citation of any other researchers recognized within the documentation that accompanies the code.

Language: GAUSS
Date: 2006
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https://dge.repec.org/codes/dejong/markova.prg program code (application/x-gauss)
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Persistent link: https://EconPapers.repec.org/RePEc:dge:qmrbcd:151

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