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Temporary Equilibrium Dynamics with Bayesian Learning

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  • Chatterji Shurojit

Abstract

This paper examines the stability of deterministic steady-states in a class of economies where the state -variable is one dimensional and where agents use Bayesian techniques to form expectations. Thr dynamics with learning are locally convergent if the prior mean is close to a stable perfect foresight root having modulus less than 1 and if the prior beliefs are held with enough confidence. Thr dynamics are however divergent if the prior mean or the variance of the prior distribution is sufficiently large.
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Suggested Citation

  • Chatterji Shurojit, 1995. "Temporary Equilibrium Dynamics with Bayesian Learning," Journal of Economic Theory, Elsevier, vol. 67(2), pages 590-598, December.
  • Handle: RePEc:eee:jetheo:v:67:y:1995:i:2:p:590-598
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    Cited by:

    1. Shurojit Chatterji & Ignacio N. Lobato, 2010. "Transformations of the state variable and learning dynamics," International Journal of Economic Theory, The International Society for Economic Theory, vol. 6(4), pages 385-403.
    2. Wilfredo Leiva, 1999. "Adaptive learning in models with lagged variables," Economics Working Papers 413, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Chatterji, Shurojit, 2004. "Subjective temporary equilibrium," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1757-1780, July.
    4. Araújo, Aloísio Pessoa de & Maldonado, Wilfredo Fernando Leiva, 2001. "A note on learning chaotic sunspot equilibrium," FGV/EPGE Economics Working Papers (Ensaios Economicos da EPGE) 423, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).

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