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Dispersion of FOMC Policymakers: Evidence from Individual Economic Projections with Identities

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Listed:
  • Natsuki Arai

  • Shian Chang

Abstract

This paper analyzes the Federal Open Market Committee (FOMC) policymakers' economic projections with identities published after 2007 and presents three sets of results. First, the dispersion of projections across policymakers is associated with the regional economic conditions they represent and their monetary policy preferences. Second, the policymakers' reaction function is consistent with the Taylor rule and satisfies the Taylor principle for stability. Their projections align with Okun's law and the Phillips curve. Finally, the efficiency evaluations to test the unpredictability of forecast errors and revisions indicate that the efficiency is rejected by many policymakers, with rejections concentrated in the years following the Great Recession.

Suggested Citation

  • Natsuki Arai & Shian Chang, 2025. "Dispersion of FOMC Policymakers: Evidence from Individual Economic Projections with Identities," Working Papers 2025-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    • Handle: RePEc:gwc:wpaper:2025-003
    as

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    File URL: https://www2.gwu.edu/~forcpgm/2025-003.pdf
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    References listed on IDEAS

    as
    1. David Romer, 2010. "A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 951-957, August.
    2. Bennani, Hamza & Farvaque, Etienne & Stanek, Piotr, 2018. "Influence of regional cycles and personal background on FOMC members’ preferences and disagreement," Economic Modelling, Elsevier, vol. 68(C), pages 416-424.
    3. Jung, Alexander & Latsos, Sophia, 2015. "Do federal reserve bank presidents have a regional bias?," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 173-183.
    4. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    5. Brent Bundick, 2015. "Estimating the Monetary Policy Rule Perceived by Forecasters," Economic Review, Federal Reserve Bank of Kansas City, issue Q IV, pages 33-49.
    6. 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.
    7. Bennani, Hamza & Kranz, Tobias & Neuenkirch, Matthias, 2018. "Disagreement between FOMC members and the Fed’s staff: New insights based on a counterfactual interest rate," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 139-153.
    8. Carola Conces Binder, 2021. "Central Bank Communication and Disagreement about the Natural Rate Hypothesis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 81-123, June.
    9. Henry W. Chappell, Jr. & Rob Roy McGregor & Todd A. Vermilyea, 2005. "Committee Decisions on Monetary Policy: Evidence from Historical Records of the Federal Open Market Committee," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262033305, December.
    10. Barbara Rossi & Tatevik Sekhposyan, 2016. "Forecast Rationality Tests in the Presence of Instabilities, with Applications to Federal Reserve and Survey Forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 507-532, April.
    11. Ellis, Michael A. & Liu, Dandan, 2013. "Do FOMC forecasts add value to staff forecasts?," European Journal of Political Economy, Elsevier, vol. 32(C), pages 332-340.
    12. Jacob A. Mincer, 1969. "Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance," NBER Books, National Bureau of Economic Research, Inc, number minc69-1, June.
    13. 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.
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    Keywords

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    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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