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Uncertainty and Learning in Stochastic Macro Models

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  • Piero Ferri
  • Anna Variato

Abstract

Limits on information have deep economic impact and affect the conduct of economic policy. In the present paper we explore the effect of substantive uncertainty in a macro model, from both an analytical and methodological point of view. Agents are boundedly rational and make their forecasts according to different techniques and try to learn the values of the various parameters. In this context, a Markov regime switching rule, a VAR system, and recursive least square are considered and compared. As a result, we obtain a model which is mostly keynesian in nature that can be compared with the new neoclassical synthesis models. Simulations are carried out and show the possible appearence of endogenous and persistent fluctuations. Copyright International Atlantic Economic Society 2010

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  • Piero Ferri & Anna Variato, 2010. "Uncertainty and Learning in Stochastic Macro Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(3), pages 297-310, August.
    • Handle: RePEc:kap:iaecre:v:16:y:2010:i:3:p:297-310:10.1007/s11294-010-9268-x
    DOI: 10.1007/s11294-010-9268-x
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    Cited by:

    1. Piero Ferri & Annalisa Cristini & Anna Maria Variato, 2019. "Growth, unemployment and heterogeneity," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 573-593, September.
    2. Piero Ferri, 2013. "Income distribution and debts in a fragile economy: market processes and macro constraints," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(2), pages 219-230, October.
    3. Piero Ferri & Steve Fazzari & Edward Greenberg & Anna Variato, 2011. "Aggregate Demand, Harrod’s Instability and Fluctuations," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 209-220, October.

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