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Some Comments on the Role of Econometrics in Economic Theory

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  • Eichenbaum, Martin

Abstract

The basic tension facing econometricians is that structural models are necessary for addressing monetary policy questions. But all models are, by their very nature, false. Econometric programs that focus on testing whether models are true will be ignored by practicing macroeconomists. The critical task facing econometricians is to develop diagnostic tools for assessing the usefulness of models for addressing particular questions. This article reviews two diagnostic strategies.

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Bibliographic Info

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 105 (1995)
Issue (Month): 433 (November)
Pages: 1609-21

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Handle: RePEc:ecj:econjl:v:105:y:1995:i:433:p:1609-21

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  1. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, MIT Press, vol. 113(3), pages 869-902, August.
  2. Martin Eichenbaum, 1990. "Real business cycle theory: wisdom or whimsy?," Working Paper Series, Macroeconomic Issues 90-13, Federal Reserve Bank of Chicago.
  3. Francis X. Diebold & Lee E. Ohanian & Jeremy Berkowitz, 1998. "Dynamic equilibrium economies: a framework for comparing models and data," Staff Report 243, Federal Reserve Bank of Minneapolis.
  4. Burnside, Craig & Eichenbaum, Martin, 1996. "Factor-Hoarding and the Propagation of Business-Cycle Shocks," American Economic Review, American Economic Association, vol. 86(5), pages 1154-74, December.
  5. Summers, Lawrence H, 1991. " The Scientific Illusion in Empirical Macroeconomics," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(2), pages 129-48.
  6. Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 197-205, February.
  7. Lawrence J. Christiano & Martin Eichenbaum, 1990. "Current real business cycle theories and aggregate labor market fluctuations," Discussion Paper / Institute for Empirical Macroeconomics 24, Federal Reserve Bank of Minneapolis.
  8. Adrian R. Pagan & John C. Robertson, 1995. "Resolving the liquidity effect," Proceedings, Federal Reserve Bank of St. Louis, issue May, pages 33-54.
  9. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  10. Robert G. King & Mark W. Watson, 1995. "Money, prices, interest rates and the business cycle," Working Paper Series, Macroeconomic Issues 95-10, Federal Reserve Bank of Chicago.
  11. Finn E. Kydland & Edward C. Prescott, 1989. "Hours and employment variation in business cycle theory," Discussion Paper / Institute for Empirical Macroeconomics 17, Federal Reserve Bank of Minneapolis.
  12. Lucas, Robert E, Jr, 1980. "Methods and Problems in Business Cycle Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(4), pages 696-715, November.
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Cited by:
  1. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
  2. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
  3. Ossama Mikhail, 2005. "What Happens After A Technology Shock? A Bayesian Perspective," Macroeconomics 0510016, EconWPA.
  4. Berkowitz, Jeremy, 2001. "Generalized spectral estimation of the consumption-based asset pricing model," Journal of Econometrics, Elsevier, vol. 104(2), pages 269-288, September.
  5. Chiarini, Bruno & Piselli, Paolo, 2001. "Identification and dimension of the NAIRU," Economic Modelling, Elsevier, vol. 18(4), pages 585-611, December.
  6. Kevin Hoover & Katarina Juselius, 2012. "Experiments, Passive Observation and Scenario Analysis: Trygve Haavelmo and the Cointegrated Vector Autoregression," Discussion Papers 12-16, University of Copenhagen. Department of Economics.

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