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The Endogenous Grid Method without Analytical Inverse Marginal Utility

Author

Listed:
  • Adam Hallengreen

    (Department of Economics, University of Copenhagen)

  • Thomas H. Joergensen

    (Department of Economics, University of Copenhagen)

  • Annasofie M. Olesen

    (Department of Economics, University of Copenhagen)

Abstract

The computational time required to solve and estimate dynamic economic models is one of the main constraints in empirical research. The Endogenous Grid Method (EGM) proposed by Carroll (2006) is known to offer impressive speed gains over more traditional stochastic dynamic programming methods, such as Value Function Iterations (VFI). However, existing EGM implementations implicitly require an analytical expression for the inverse marginal utility, which is not known in many interesting cases. We propose a simple and fast approach, which we refer to as the interpolated EGM (iEGM), that can be applied even when the inverse marginal utility is not known analytically. We show through two applications that the iEGM inherits the speed andaccuracy of the EGM and that our approach is an order of magnitude faster than traditionalapproaches.

Suggested Citation

  • Adam Hallengreen & Thomas H. Joergensen & Annasofie M. Olesen, 2024. "The Endogenous Grid Method without Analytical Inverse Marginal Utility," CEBI working paper series 11-24, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    • Handle: RePEc:kud:kucebi:2411
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    File URL: https://www.econ.ku.dk/cebi/publikationer/working-papers/CEBI_WP_11-24.pdf
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    More about this item

    Keywords

    Endogenous grid method; dynamic programming; numerical methods; limited commitment;
    All these keywords.

    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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