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Forecasting inflation and growth: do private forecasts match those of policymakers?

Author

Listed:
  • William T. Gavin
  • Rachel J. Mandal
Abstract
FOMC projections are important because they provide information for evaluating current monetary policy intentions and because they indicate what FOMC members think will be the likely consequence of their policies. Results here show that the Blue Chip consensus forecasts are a good proxy for the FOMC views. For example, they match the policymakers' views as closely as do the Board staff forecasts presented at FOMC meetings. Using alternative forms of the Taylor Rule, we show that the Blue Chip consensus and the Fed Policymakers' forecasts have almost identical implications for the monetary policy process.

Suggested Citation

  • William T. Gavin & Rachel J. Mandal, 2000. "Forecasting inflation and growth: do private forecasts match those of policymakers?," Working Papers 2000-026, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2000-026
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    References listed on IDEAS

    as
    1. Michael Dotsey & Brian Scholl, 2000. "Behavior of the real rate of interest over the business cycle," Working Paper 00-09, Federal Reserve Bank of Richmond.
    2. Svensson, Lars E. O., 1997. "Inflation forecast targeting: Implementing and monitoring inflation targets," European Economic Review, Elsevier, vol. 41(6), pages 1111-1146, June.
    3. Julio J. Rotemberg & Michael Woodford, 1999. "Interest Rate Rules in an Estimated Sticky Price Model," NBER Chapters, in: Monetary Policy Rules, pages 57-126, National Bureau of Economic Research, Inc.
    4. Bennett T. McCallum, 1999. "Recent developments in the analysis of monetary policy rules," Review, Federal Reserve Bank of St. Louis, vol. 81(Nov), pages 3-12.
    5. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    6. Bernanke, Ben S & Woodford, Michael, 1997. "Inflation Forecasts and Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 653-684, November.
    7. Athanasios Orphanides, 2001. "Monetary Policy Rules Based on Real-Time Data," American Economic Review, American Economic Association, vol. 91(4), pages 964-985, September.
    8. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    9. Svensson, Lars E. O. & Woodford, Michael, 2003. "Indicator variables for optimal policy," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 691-720, April.
    10. Michael Woodford, 2000. "Pitfalls of Forward-Looking Monetary Policy," American Economic Review, American Economic Association, vol. 90(2), pages 100-104, May.
    11. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    12. Sharon Kozicki, 1999. "How useful are Taylor rules for monetary policy?," Economic Review, Federal Reserve Bank of Kansas City, vol. 84(Q II), pages 5-33.
    13. 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.
    14. Chari, V V, 1997. "Comment on "Inflation Forecasts and Monetary Policy."," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(4), pages 685-686, November.
    15. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
    16. 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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    Keywords

    Monetary policy; Forecasting; Federal Open Market Committee;
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