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Applying the explicit aggregation algorithm to heterogeneous agent models in continuous time

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  • Emoto, Masakazu
  • Sunakawa, Takeki

Abstract

This paper applies the explicit aggregation (XPA) algorithm to the standard heterogeneous agent model with aggregate uncertainty in continuous time. We find that the XPA algorithm is faster in solving the model than the Krusell–Smith algorithm, because the XPA algorithm does not rely on simulations within the algorithm to solve the model. The XPA algorithm is more accurate than the perturbation method when aggregate uncertainty is large.

Suggested Citation

  • Emoto, Masakazu & Sunakawa, Takeki, 2021. "Applying the explicit aggregation algorithm to heterogeneous agent models in continuous time," Economics Letters, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:ecolet:v:206:y:2021:i:c:s0165176521002172
    DOI: 10.1016/j.econlet.2021.109940
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    References listed on IDEAS

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    More about this item

    Keywords

    Continuous time; Heterogeneous agent models; Explicit aggregation algorithm;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets

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