Matlab for "Parameterized Expectations Algorithm: How to Solve for Labor Easily"

Lilia Maliar and Serguei Maliar

QM&RBC Codes from Quantitative Macroeconomics & Real Business Cycles

Abstract: MATLAB programs solving a neoclassical stochastic growth model with valuable leisure by parameterizing labor function under the PEA as described in the article "Parameterized Expectations Algorithm: How to Solve for Labor Easily" by Lilia Maliar and Serguei Maliar, Computational Economics 25, pp. 269-274, 2005.

Language: Matlab
Date: 2005
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https://dge.repec.org/codes/maliar/Maliars_CE_25_2005.zip program code (application/x-matlab)
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Related works:
Journal Article: Solving the Neoclassical Growth Model with Quasi-Geometric Discounting: A Grid-Based Euler-Equation Method (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:dge:qmrbcd:147

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