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Acknowledging Misspecification in Macroeconomic Theory

  • Lars Peter Hansen

    (University of Chicago)

  • Thomas J. Sargent

    (Stanford University)

We explore methods for confronting model misspecification in macroeconomics. We construct dynamic equilibria in which private agents and policy makers recognize that models are approximations. We explore two generalizations of reational expectations equilibria. In one of these equilibria, decision-makers use dynamic evolution equations that are imperfect statistical approximations, and in the other misspecification is impossible to detect even from infinite samples of time series data. In the first of these equilibria, decision rules are tailored to be robust to the allowable statistical discrepancies. Using frequency domain methods, we show that robust decision-makers treat model misspecification like time series econometricians.

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Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics.

Volume (Year): 4 (2001)
Issue (Month): 3 (July)
Pages: 519-535

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Handle: RePEc:red:issued:v:4:y:2001:i:3:p:519-535
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Marina Azzimonti, Department of Economics, Stonybrook University, 10 Nicolls Road, Stonybrook NY 11790 USA

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  1. Fudenberg, D. & Levine, D.K., 1991. "Self-Confirming Equilibrium ," Working papers 581, Massachusetts Institute of Technology (MIT), Department of Economics.
  2. Lars Peter Hansen & Thomas J. Sargent & Thomas D. Tallarini, 1999. "Robust Permanent Income and Pricing," Review of Economic Studies, Oxford University Press, vol. 66(4), pages 873-907.
  3. Philippe Weil, 1993. "Precautionary Savings and the Permanent Income Hypothesis," Review of Economic Studies, Oxford University Press, vol. 60(2), pages 367-383.
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  7. Laurence M. Ball, 1999. "Policy Rules for Open Economies," NBER Chapters, in: Monetary Policy Rules, pages 127-156 National Bureau of Economic Research, Inc.
  8. Thomas Sargent & Noah Williams & Tao Zha, 2009. "The Conquest of South American Inflation," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 211-256, 04.
  9. Hansen, Lars Peter & Sargent, Thomas J., 1993. "Seasonality and approximation errors in rational expectations models," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 21-55.
  10. Christopher A. Sims, 1990. "Rational expectations modeling with seasonally adjusted data," Discussion Paper / Institute for Empirical Macroeconomics 35, Federal Reserve Bank of Minneapolis.
  11. Epstein, Larry G & Wang, Tan, 1994. "Intertemporal Asset Pricing Under Knightian Uncertainty," Econometrica, Econometric Society, vol. 62(2), pages 283-322, March.
  12. Thomas J. Sargent & Neil Wallace, 1974. "Rational expectations and the theory of economic policy," Working Papers 29, Federal Reserve Bank of Minneapolis.
  13. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, June.
  14. Pearlman, Joseph & Currie, David & Levine, Paul, 1986. "Rational expectations models with partial information," Economic Modelling, Elsevier, vol. 3(2), pages 90-105, April.
  15. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
  16. Levine, Paul & Currie, David, 1987. "The design of feedback rules in linear stochastic rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 11(1), pages 1-28, March.
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