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Do Professional Forecasters Trust in Taylor-Type Rules? - Evidence from the Wall Street Journal Poll

Author

Listed:
  • Jan Christoph Ruelke

    (Department of Economics - WHU - School of Manangement)

  • Ralf Fendel

    (Economics - WHU Koblenz - Otto Beisheim Graduate School of Managment)

  • Michael Frenkel

    (Economics - WHU Koblenz - Otto Beisheim Graduate School of Managment)

Abstract

This paper uses the monthly Wall Street Journal poll between 2002 and 2008 to analyze whether professional economic forecasters believe in and, thus, apply Taylor-type rules for their own forecasts. Using their forecasts for the Federal Funds rate, the in ation rate and capacity utilization, we estimate whether those are internally consistent with the message of Taylor(-type) rules. We find that the expectation formation can indeed be described by Taylor-type rules.

Suggested Citation

  • Jan Christoph Ruelke & Ralf Fendel & Michael Frenkel, 2011. "Do Professional Forecasters Trust in Taylor-Type Rules? - Evidence from the Wall Street Journal Poll," Post-Print hal-00743770, HAL.
  • Handle: RePEc:hal:journl:hal-00743770
    DOI: 10.1080/00036846.2011.613770
    Note: View the original document on HAL open archive server: https://hal.science/hal-00743770
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    References listed on IDEAS

    as
    1. Ottaviani, Marco & Sorensen, Peter Norman, 2006. "The strategy of professional forecasting," Journal of Financial Economics, Elsevier, vol. 81(2), pages 441-466, August.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    3. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    4. Joel T. Krueger & Kenneth N. Kuttner, 1996. "The Fed funds futures rate as a predictor of federal reserve policy," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(8), pages 865-879, December.
    5. 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 714-735, September.
    6. John B. Taylor, 1999. "A Historical Analysis of Monetary Policy Rules," NBER Chapters, in: Monetary Policy Rules, pages 319-348, National Bureau of Economic Research, Inc.
    7. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    8. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    9. Janko Gorter & Jan Jacobs & Jakob De Haan, 2008. "Taylor Rules for the ECB using Expectations Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(3), pages 473-488, September.
    10. Christina D. Romer & David H. Romer, 2002. "A Rehabilitation of Monetary Policy in the 1950's," American Economic Review, American Economic Association, vol. 92(2), pages 121-127, May.
    11. Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2002. "Evaluating Wall Street Journal survey forecasters: a multivariate approach," FRB Atlanta Working Paper 2002-8, Federal Reserve Bank of Atlanta.
    12. Mitchell, Karlyn & Pearce, Douglas K., 2007. "Professional forecasts of interest rates and exchange rates: Evidence from the Wall Street Journal's panel of economists," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 840-854, December.
    13. Giordani, Paolo & Soderlind, Paul, 2003. "Inflation forecast uncertainty," European Economic Review, Elsevier, vol. 47(6), pages 1037-1059, December.
    14. Glenn D. Rudebusch, 2006. "Monetary Policy Inertia: Fact or Fiction?," International Journal of Central Banking, International Journal of Central Banking, vol. 2(4), December.
    15. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    16. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    17. Orphanides, Athanasios & Williams, John C., 2007. "Robust monetary policy with imperfect knowledge," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1406-1435, July.
    18. 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.
    19. Mark R. Greer, 1999. "Assessing the Soothsayers: An Examination of the Track Record of Macroeconomic Forecasting," Journal of Economic Issues, Taylor & Francis Journals, vol. 33(1), pages 77-94, March.
    20. Richard H. Clarida & Jordi Gali & Mark Gertler, 1998. "Monetary policy rules in practice," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    21. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, January.
    22. Bathcelor, Roy & Dua, Pami, 1990. "Forecaster ideology, forecasting technique, and the accuracy of economic forecasts," International Journal of Forecasting, Elsevier, vol. 6(1), pages 3-10.
    23. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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