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Expectations Of Learning Agents And Stability Of Perfect Foresight Equilibria In Discrete Time Dynamic Economic Models

Author

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  • Domenico Colucci

    (Universit di Firenze)

  • Vicenzo Valori

    (University of Pisa-Firenze)

Abstract

We study the global dynamic properties of stationary equilibria in discrete time deterministic models under bounded rationality. We assume agents' ability to learn from the past performance of their expectations formation mechanism, so that such mechanism itself is made endogenous. We determine sufficient conditions under which this type of error learning behaviour enhances the stability properties of the economic system and rules out non-perfect foresight cycles. This outcome, while partly at odds with some existing results in the economic literature, seems plausible from the point of view of economic intuition.

Suggested Citation

  • Domenico Colucci & Vicenzo Valori, 2000. "Expectations Of Learning Agents And Stability Of Perfect Foresight Equilibria In Discrete Time Dynamic Economic Models," Computing in Economics and Finance 2000 218, Society for Computational Economics.
  • Handle: RePEc:sce:scecf0:218
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    Cited by:

    1. Orlando Gomes, 2010. "Ordinary Least Squares Learning And Nonlinearities In Macroeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 52-84, February.

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