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Mathematica Notebook for Some Results on the Solution of the Neoclassical Growth Model

Author

Listed:
  • Juan F. Rubio-Ramirez

    (Federal Reserve Bank of Atlanta)

Programming Language

Mathematica

Abstract

This Mathematica notebook computes the solution of the stochastic neoclassical growth model with leisure. We use the method of Judd (2003) to explore how to change variables in the computed policy functions of the model.

Suggested Citation

  • Juan F. Rubio-Ramirez, 2003. "Mathematica Notebook for Some Results on the Solution of the Neoclassical Growth Model," QM&RBC Codes 92, Quantitative Macroeconomics & Real Business Cycles.
    • Handle: RePEc:dge:qmrbcd:92
    as

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    File URL: https://dge.repec.org/codes/rubio/optimal2121FindMindifferentstartingvalue.nb
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    Keywords

    Mathematica;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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