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Rational expectations and near rational alternatives: How best to form expectations

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  • Beeby, Mike
  • Hall, Stephan George
  • Henry, Brian S.

Abstract

Learning rules are increasingly being used in macroeconomic models. However one criticism that has been levelled at this assumption is that the choice of variables for inclusion in the learning rule, and the actual specification of the learning rule itself, is arbitrary. In this paper we test how important the particular learning rule specification is by incorporating a battery of learning rules into a large-scale macro model. The model's dynamics are then compared to those from a version of the model simulated under rational expectations (RE). The results indicate that although there are large differences between the RE solution and each of the solutions under learning, differences amongst the learning rule solutions are minor JEL Classification: C53, E43, F33

Suggested Citation

  • Beeby, Mike & Hall, Stephan George & Henry, Brian S., 2001. "Rational expectations and near rational alternatives: How best to form expectations," Working Paper Series 86, European Central Bank.
    • Handle: RePEc:ecb:ecbwps:200186
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    References listed on IDEAS

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    6. Collard, Fabrice & Juillard, Michel, 2001. "A Higher-Order Taylor Expansion Approach to Simulation of Stochastic Forward-Looking Models with an Application to a Nonlinear Phillips Curve Model," Computational Economics, Springer;Society for Computational Economics, vol. 17(2-3), pages 125-139, June.
    7. Lucas, Robert Jr., 1972. "Expectations and the neutrality of money," Journal of Economic Theory, Elsevier, vol. 4(2), pages 103-124, April.
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    Citations

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    Cited by:

    1. Céspedes, Luis Felipe & Jalil, Munir A., 2006. "Comments," LSE Research Online Documents on Economics 123188, London School of Economics and Political Science, LSE Library.
    2. Basdevant, Olivier, 2005. "Learning process and rational expectations: An analysis using a small macro-economic model for New Zealand," Economic Modelling, Elsevier, vol. 22(6), pages 1074-1089, December.
    3. Olivier Basdevant, 2003. "Learning process and rational expectations: an analysis using a small macroeconomic model for New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2003/05, Reserve Bank of New Zealand.
    4. Alberto Locarno, 2012. "Monetary policy in a model with misspecified, heterogeneous and ever-changing expectations," Temi di discussione (Economic working papers) 888, Bank of Italy, Economic Research and International Relations Area.
    5. Emilian DOBRESCU, 2020. "Self-fulfillment degree of economic expectations within an integrated space: The European Union case study," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-32, December.

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    More about this item

    Keywords

    bounded expectations; Kalman filter; learning; rational expectations;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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