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Real expectations: replacing rational expectations with survey expectations in dynamic macro models

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  • Jeffrey C. Fuhrer

Abstract

This paper examines the implications of changing the expectations assumption that is embedded in nearly all current macroeconomic models. The paper substitutes measured or \"real\" expectations for rational expectations in an array of standard macroeconomic relationships, as well as in a DSGE model. The author finds that the use of survey measures of expectations ? for near-term inflation, long-term inflation, unemployment, and short-term interest rates ? improves performance along a variety of dimensions. Survey expectations exhibit strong correlations to key macroeconomic variables. Those correlations may be given a structural interpretation in a DSGE context. Including survey expectations helps to identify key slope parameters in standard relationships, and eliminates the need for having lagged dependent variables in structural models that is often motivated by indexation for prices and habit formation for consumption. Including survey expectations also obviates the need for autocorrelated structural shocks in the key equations. In a head-to-head empirical test, the weight placed on the DSGE model's rational expectations is essentially zero and the weight on survey expectations is one. The paper also discusses the modeling complications that arise once the rational expectations assumption is abandoned, and proposes methods for endogenizing survey expectations in a general equilibrium macro model.

Suggested Citation

  • Jeffrey C. Fuhrer, 2012. "Real expectations: replacing rational expectations with survey expectations in dynamic macro models," Working Papers 12-19, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbwp:12-19
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    1. Real expectations: replacing rational expectations with survey expectations in dynamic macro models
      by Christian Zimmermann in NEP-DGE blog on 2013-01-16 08:37:55

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    Cited by:

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    3. Binder, Carola Conces, 2015. "Whose expectations augment the Phillips curve?," Economics Letters, Elsevier, vol. 136(C), pages 35-38.
    4. Josh Stillwagon, 2013. "Currency Risk and Imperfect Knowledge: Volatility and Long Swings around Benchmark Values," Working Papers 1315, Trinity College, Department of Economics.
    5. Paolo Gelain & Kevin J. Lansing & Gisle J. Natvik, 2018. "Explaining the Boom–Bust Cycle in the U.S. Housing Market: A Reverse‐Engineering Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1751-1783, December.
    6. J. Easaw & R. Golinelli & M. Malgarini, 2012. "Do Households Anchor their Inflation Expectations? Theory and Evidence from a Household Survey," Working Papers wp842, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Karel Musil & Stanislav Tvrz & Jan Vlcek, 2021. "News versus Surprise in Structural Forecasting Models: Central Bankers' Practical Perspective," Research and Policy Notes 2021/02, Czech National Bank.
    8. Josh R. Stillwagon, 2015. "Exchange Rate Dynamics and Forecast Errors about Persistently Trending Fundamentals," Working Papers 1501, Trinity College, Department of Economics.

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    Rational expectations (Economic theory);

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