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The Superiority of Greenbook Forecasts and the Role of Recessions

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  • Kishor N. Kundan

    (University of Wisconsin-Milwaukee)

Abstract

In this paper, we investigate the role of recessions on the relative forecasting performance of the Fed and the private sector. Romer and Romer (2000) showed that the Fed's forecasts of inflation and output were superior to that of the private sector in the pre-1991 period. D'Agostino and Whelan (2008) found that the information superiority of the Fed deteriorated after 1991. Our results show that the information superiority of the Fed in forecasting real activity did arise from its forecasting dominance during recessions. If recessions are excluded from the pre-1992 period, the informational advantage of the Fed disappears, and in some cases, private sector forecasts perform better. We do not find any systematic effect of recessions on inflation forecasts.

Suggested Citation

  • Kishor N. Kundan, 2010. "The Superiority of Greenbook Forecasts and the Role of Recessions," NBP Working Papers 74, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:74
    Note: The paper was presented at the National Bank of Poland’s conference „Publishing central banks forecast in theory and practice” held on 5–6 November 2009 in Warsaw.
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    File URL: https://static.nbp.pl/publikacje/materialy-i-studia/74_en.pdf
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    1. Faust Jon & Swanson Eric T & Wright Jonathan H, 2004. "Do Federal Reserve Policy Surprises Reveal Superior Information about the Economy?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-31, October.
    2. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    3. West, Kenneth D, 1996. "Asymptotic Inference about Predictive Ability," Econometrica, Econometric Society, vol. 64(5), pages 1067-1084, September.
    4. 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.
    5. Antonello D'Agostino & Karl Whelan, 2008. "Federal Reserve Information During the Great Moderation," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 609-620, 04-05.
    6. Margaret M. McConnell & Gabriel Perez-Quiros, 2000. "Output fluctuations in the United States: what has changed since the early 1980s?," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    7. Faust, Jon & Wright, Jonathan H., 2009. "Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 468-479.
    8. 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.
    9. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    10. 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.
    11. Gamber, Edward N. & Smith, Julie K., 2009. "Are the Fed's inflation forecasts still superior to the private sector's?," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 240-251, June.
    12. 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.
    13. Baghestani, Hamid, 2006. "Federal reserve vs. private forecasts of real net exports," Economics Letters, Elsevier, vol. 91(3), pages 349-353, June.
    14. Chang-Jin Kim & Charles R. Nelson, 1999. "Has The U.S. Economy Become More Stable? A Bayesian Approach Based On A Markov-Switching Model Of The Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 608-616, November.
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    1. What can you do with a DSGE model?
      by Noah Smith in Noahpinion on 2013-05-28 01:05:00

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    Cited by:

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    2. Kishor, N. Kundan, 2023. "Estimating Expected Asset Returns With the Present Value Model of Consumption and Fed Forecasts," MPRA Paper 119617, University Library of Munich, Germany.

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    More about this item

    Keywords

    Greenbook Forecasts; Recessions; Business Cycle Turning Points;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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