Matlab for "Parameterized Expectations Algorithm: How to Solve for Labor Easily"
AbstractMATLAB 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.
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Bibliographic InfoSoftware component provided by Quantitative Macroeconomics & Real Business Cycles in its series QM&RBC Codes with number 147.
Programming language: Matlab
Date of creation: 2005
Date of revision:
Other versions of this item:
- Lilia Maliar & Serguei Maliar, 2005. "Solving the Neoclassical Growth Model with Quasi-Geometric Discounting: A Grid-Based Euler-Equation Method," Computational Economics, Society for Computational Economics, vol. 26(2), pages 163-172, October.
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