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

Author

Listed:
  • David DeJong
  • Chetan Dave

Programming Language

GAUSS

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.

Suggested Citation

  • David DeJong & Chetan Dave, 2006. "Solve Stochastic Optimal Growth Model Using Orthogonal Collocation, Markov Process for a (GAUSS)," QM&RBC Codes 151, Quantitative Macroeconomics & Real Business Cycles.
    • Handle: RePEc:dge:qmrbcd:151
    as

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    File URL: https://dge.repec.org/codes/dejong/markova.prg
    File Function: program code
    Download Restriction: none
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    Keywords

    GAUSS;

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