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Do GDP Forecasts Respond Efficiently to Changes in Interest Rates?

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  • Dean Croushore
  • Katherine Marsten

Abstract

In this paper, we examine and extend the results of Ball and Croushore (2003) and Rudebusch and Williams (2009), who show that the output forecasts in the Survey of Professional Forecasters (SPF) are inefficient. Ball and Croushore show that the SPF out-put forecasts are inefficient with respect to changes in monetary policy, as measured by changes in real interest rates, while Rudebusch and Williams show that the forecasts are inefficient with respect to the yield spread. In this paper, we investigate the robustness of both claims of inefficiency, using real-time data and exploring the impact of alternative sample periods on the results.

Suggested Citation

  • Dean Croushore & Katherine Marsten, 2016. "Do GDP Forecasts Respond Efficiently to Changes in Interest Rates?," Working Papers 16-17, Federal Reserve Bank of Philadelphia.
    • Handle: RePEc:fip:fedpwp:16-17
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    References listed on IDEAS

    as
    1. Victor Zarnowitz & Phillip Braun, 1993. "Twenty-two Years of the NBER-ASA Quarterly Economic Outlook Surveys: Aspects and Comparisons of Forecasting Performance," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 11-94, National Bureau of Economic Research, Inc.
    2. Faust, Jon & Rogers, John H & Wright, Jonathan H, 2005. "News and Noise in G-7 GDP Announcements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 403-419, June.
    3. Rudebusch, Glenn D. & Williams, John C., 2009. "Forecasting Recessions: The Puzzle of the Enduring Power of the Yield Curve," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 492-503.
    4. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    5. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    6. 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.
    7. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
    8. James H. Stock & Mark W. Watson, 1993. "Business Cycles, Indicators, and Forecasting," NBER Books, National Bureau of Economic Research, Inc, number stoc93-1.
    9. Dean Croushore, 2010. "Philadelphia Fed forecasting surveys: their value for research," Business Review, Federal Reserve Bank of Philadelphia, issue Q3, pages 1-11.
    10. Dean Croushore, 1993. "Introducing: the survey of professional forecasters," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-15.
    11. Stock, James H. & Watson, Mark W. (ed.), 1993. "Business Cycles, Indicators, and Forecasting," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226774886, August.
    12. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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    More about this item

    Keywords

    Real-Time Data; Output Forecasts; Yield Spread; Monetary Policy; Survey of Professional Forecasters (SPF);
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