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Value Function Iteration as a Solution Method for the Ramsey Model

Author

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  • Burkhard Heer
  • Alfred Maussner

Abstract

Value function iteration is one of the standard tools for the solution of the Ramsey model. We compare six different ways of value function iteration with regard to speed and precision. We find that value function iteration with cubic spline interpolation between grid points dominates the other methods in most cases. For the initialization of the value function over a fine grid, modified policy function iteration over a coarse grid and subsequent linear interpolation between the grid points provides a very efficient way to reduce computational time.

Suggested Citation

  • Burkhard Heer & Alfred Maussner, 2008. "Value Function Iteration as a Solution Method for the Ramsey Model," CESifo Working Paper Series 2278, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_2278
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    File URL: http://www.cesifo-group.de/DocDL/cesifo1_wp2278.pdf
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    References listed on IDEAS

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    1. Aruoba, S. Boragan & Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Comparing solution methods for dynamic equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2477-2508, December.
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    5. Martin L. Puterman & Moon Chirl Shin, 1978. "Modified Policy Iteration Algorithms for Discounted Markov Decision Problems," Management Science, INFORMS, vol. 24(11), pages 1127-1137, July.
    6. Gaspar, Jess & L. Judd, Kenneth, 1997. "Solving Large-Scale Rational-Expectations Models," Macroeconomic Dynamics, Cambridge University Press, vol. 1(01), pages 45-75, January.
    7. Erosa, Andres & Ventura, Gustavo, 2002. "On inflation as a regressive consumption tax," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 761-795, May.
    8. Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
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    More about this item

    Keywords

    value function iteration; policy function iteration; Howard’s algorithm; acceleration; cubic interpolation; stochastic Ramsey model;

    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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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