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The Modeling of Expectations in Empirical DSGE Models: a Survey

  • Fabio Milani

    ()

    (Department of Economics, University of California-Irvine)

A recent notable development in the empirical macroeconomics literature has been the rapid growth of papers that build structural models, which include a number of frictions and shocks, and which are confronted with the data using sophisticated full-information econometric approaches, often using Bayesian methods. A widespread assumption in these estimated models, as in most of the macroeconomic literature in general, is that economic agents' expectations are formed according to the Rational Expectations Hypothesis (REH). Various alternative ways to model the formation of expectations have, however, emerged: some are simple refinements that maintain the REH, but change the information structure along different dimensions, while others imply more significant departures from rational expectations. I review here the modeling of the expectation formation process and discuss related econometric issues in current structural macroeconomic models. The discussion includes benchmark models assuming rational expectations, extensions based on allowing for sunspots, news, sticky information, as well as models that abandon the REH to use learning, heuristics, or subjective expectations.

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File URL: http://www.economics.uci.edu/files/docs/workingpapers/2012-13/milani-01.pdf
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Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 121301.

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Length: 33 pages
Date of creation: Jun 2012
Date of revision:
Handle: RePEc:irv:wpaper:121301
Contact details of provider: Postal: Irvine, CA 92697-3125
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Web page: http://www.economics.uci.edu/

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  1. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, 02.
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  12. Oleg Korenok, 2005. "Empirical Comparison of Sticky Price and Sticky Information Models," Working Papers 0501, VCU School of Business, Department of Economics.
  13. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of Animal Spirits in a Bounded Rationality Model: An Application to the Euro Area," MPRA Paper 37399, University Library of Munich, Germany.
  14. Adam, Klaus & Padula, Mario, 2003. "Inflation dynamics and subjective expectations in the United States," Working Paper Series 0222, European Central Bank.
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  17. Fabio Milani & Ashish Rajrhandari, 2012. "Observed Expectations, News Shocks, and the Business Cycle," Working Papers 121305, University of California-Irvine, Department of Economics.
  18. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6 National Bureau of Economic Research, Inc.
  19. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.
  20. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-35, September.
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  22. Fabio Milani, 2009. "Expectations, Learning, and the Changing Relationship between Oil Prices and the Macroeconomy," Working Papers 080923, University of California-Irvine, Department of Economics.
  23. Poirier, Dale J., 1998. "Revising Beliefs In Nonidentified Models," Econometric Theory, Cambridge University Press, vol. 14(04), pages 483-509, August.
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