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Gauging the uncertainty of the economic outlook from historical forecasting errors

Author

Listed:
  • David L. Reifschneider
  • Peter Tulip
Abstract
Participants in meetings of the Federal Open Market Committee (FOMC) regularly produce individual projections of real activity and inflation that are published in summary form. These summaries indicate participants' views about the most likely course for the macroeconomy but, by themselves, are not enough to gauge the full range of possible outcomes -- that is, the uncertainty surrounding the outlook. To this end, FOMC participants will now provide qualitative assessments of how they view the degree of current uncertainty relative to that which prevailed on average in the past. This paper discusses a method for gauging the average magnitude of historical uncertainty using information on the predictive accuracy of a number of private and government forecasters. The results suggest that, if past performance is a reasonable guide to the accuracy of future forecasts, considerable uncertainty surrounds all macroeconomic projections, including those of FOMC participants.

Suggested Citation

  • David L. Reifschneider & Peter Tulip, 2007. "Gauging the uncertainty of the economic outlook from historical forecasting errors," Finance and Economics Discussion Series 2007-60, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgfe:2007-60
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    References listed on IDEAS

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    1. Brayton, Flint & Levin, Andrew & Lyon, Ralph & Williams, John C., 1997. "The evolution of macro models at the Federal Reserve Board," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 47(1), pages 43-81, December.
    2. Flint Brayton & Peter A. Tinsley, 1996. "A guide to FRB/US: a macroeconomic model of the United States," Finance and Economics Discussion Series 96-42, Board of Governors of the Federal Reserve System (U.S.).
    3. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    4. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    5. William T. Gavin & Rachel J. Mandal, 2001. "Forecasting inflation and growth: do private forecasts match those of policymakers?," Review, Federal Reserve Bank of St. Louis, vol. 83(May), pages 11-20.
    6. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    7. Campbell, Sean D., 2007. "Macroeconomic Volatility, Predictability, and Uncertainty in the Great Moderation: Evidence From the Survey of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 191-200, April.
    8. Frederic S. Mishkin, 2007. "Inflation Dynamics," International Finance, Wiley Blackwell, vol. 10(3), pages 317-334, December.
    9. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
    10. repec:fip:fedgsq:y:2007:i:nov14 is not listed on IDEAS
    11. Fair, Ray C, 1980. "Estimating the Expected Predictive Accuracy of Econometric Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(2), pages 355-378, June.
    12. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    13. David L. Reifschneider & Robert J. Tetlow & John Williams, 1999. "Aggregate disturbances, monetary policy, and the macroeconomy: the FRB/US perspective," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 85(Jan), pages 1-19, January.
    14. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
    15. Peter Tulip, 2005. "Has output become more predictable? changes in Greenbook forecast accuracy," Finance and Economics Discussion Series 2005-31, Board of Governors of the Federal Reserve System (U.S.).
    16. Ben S. Bernanke, 2007. "Federal Reserve communications," Speech 344, Board of Governors of the Federal Reserve System (U.S.).
    17. Flint Brayton & Eileen Mauskopf & David L. Reifschneider & Peter A. Tinsley & John Williams, 1997. "The role of expectations in the FRB/US macroeconomic model," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 83(Apr), pages 227-245, April.
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    Keywords

    Uncertainty; Economic forecasting;

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