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The Curse of Irving Fisher (Professional Forecasters' Version)

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Author Info

  • Gregor W. Smith

    ()
    (Queen's University)

  • James Yetman

    ()
    (University of Hong Kong)

Abstract

Dynamic Euler equations restrict multivariate forecasts. Thus a range of links between macroeconomic variables can be studied by seeing whether they hold within the multivariate predictions of professional forecasters. We illustrate this novel way of testing theory by studying the links between forecasts of U.S. nominal interest rates, inflation, and real consumption growth since 1981. By using forecast data for both returns and macroeconomic fundamentals, we use the complete cross-section of forecasts, rather than the median. The Survey of Professional Forecasters yields a three-dimensional panel, across quarters, forecasters, and forecast horizons. This approach yields 14727 observations, much greater than the 107 time series observations. The resulting precision reveals a significant, negative relationship between consumption growth and interest rates.

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File URL: http://qed.econ.queensu.ca/working_papers/papers/qed_wp_1144.pdf
File Function: First version 2007
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Bibliographic Info

Paper provided by Queen's University, Department of Economics in its series Working Papers with number 1144.

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Length: 30 pages
Date of creation: Nov 2007
Date of revision:
Handle: RePEc:qed:wpaper:1144

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Keywords: forecast survey; asset pricing; Fisher effect;

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  1. Zarnowitz, Victor, 1985. "Rational Expectations and Macroeconomic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 293-311, October.
  2. John Y. Campbell, 1987. "Bond and Stock Returns in a Simple Exchange Model," NBER Working Papers 1509, National Bureau of Economic Research, Inc.
  3. 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.
  4. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
  5. John Y. Campbell & John H. Cochrane, 1994. "By force of habit: a consumption-based explanation of aggregate stock market behavior," Working Papers 94-17, Federal Reserve Bank of Philadelphia.
  6. Lloyd B. Thomas, 1999. "Survey Measures of Expected U.S. Inflation," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 125-144, Fall.
  7. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," Cowles Foundation Discussion Papers 1530, Cowles Foundation for Research in Economics, Yale University.
  8. Carl S Bonham & Richard H Cohen, 2000. "Testing the Rational Expectations Hypothesis using Survey Data," Working Papers 200007, University of Hawaii at Manoa, Department of Economics.
  9. Croushore Dean, 2010. "An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, May.
  10. Motohiro Yogo, 2004. "Estimating the Elasticity of Intertemporal Substitution When Instruments Are Weak," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 797-810, August.
  11. Smith, Gregor W., 2009. "Pooling forecasts in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1858-1866, November.
  12. Christopher D. Carroll, 2003. "Macroeconomic Expectations Of Households And Professional Forecasters," The Quarterly Journal of Economics, MIT Press, vol. 118(1), pages 269-298, February.
  13. Gottfries, Nils & Persson, Torsten, 1988. "Empirical Examinations of the Information Sets of Economic Agents," The Quarterly Journal of Economics, MIT Press, vol. 103(1), pages 251-59, February.
  14. Neely, Christopher J & Roy, Amlan & Whiteman, Charles H, 2001. "Risk Aversion versus Intertemporal Substitution: A Case Study of Identification Failure in the Intertemporal Consumption Capital Asset Pricing Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 395-403, October.
  15. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
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Cited by:
  1. Michael B. Devereux & Gregor W. Smith & James Yetman, 2009. "Consumption and Real Exchange Rates in Professional Forecasts," Working Papers 1195, Queen's University, Department of Economics.

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