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Transparency, expectations and forecasts

Author

Listed:
  • Andrew Bauer
  • Robert A. Eisenbeis
  • Daniel F. Waggoner
  • Tao Zha

Abstract

Many economists believe that a central bank?s transparency about its objectives, economic outlook, and policy changes affect the public?s views about future economic and financial conditions. In keeping with this theory, since 1994 the Federal Open Market Committee has gradually increased the transparency of its statements accompanying changes in the federal funds rate target. ; This article investigates whether private agents? ability to predict the economy?s direction has improved since 1994. The analysis focuses on forecasts of macroeconomic variables such as inflation, gross domestic product growth, and unemployment and policy variables such as short-term interest rates. Private agents? current-year and next-year forecasts in the monthly Blue Chip Economic Indicators surveys from 1986 to 2004 serve as proxies for the public?s short-term and longer-term expectations. ; The econometric methodology decomposes forecast accuracy into two components: the common error that affects all individual participants and the idiosyncratic error that reflects discrepant views among individuals. The analysis indicates that idiosyncratic errors have steadily declined and individuals? forecasts have been more synchronized since 1994 while common forecast errors?likely associated with business cycles and other economic shocks?have been largely unaffected. ; Although these findings show little evidence that transparent monetary policy enhances the public?s ability to predict business cycles, the authors note that the data sample may not be long enough to reveal such effects.

Suggested Citation

  • Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2006. "Transparency, expectations and forecasts," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 1), pages 1-25.
  • Handle: RePEc:fip:fedaer:y:2006:i:q1:p:1-25:n:v.91no.1
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    References listed on IDEAS

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    1. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q2), pages 17-31.
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    Cited by:

    1. Trabelsi, Emna, 2016. "Central bank transparency and the consensus forecast: What does The Economist poll of forecasters tell us?," Research in International Business and Finance, Elsevier, vol. 38(C), pages 338-359.
    2. Gorodnichenko, Y & Coibion, O, 2016. "How inertial is monetary policy? implications for the fed’s exit strategy," Department of Economics, Working Paper Series qt2qc6f09b, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    3. Jitmaneeroj, Boonlert & Lamla, Michael J. & Wood, Andrew, 2019. "The implications of central bank transparency for uncertainty and disagreement," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 222-240.
    4. Silvio Colarossi & Andrea Zaghini, 2009. "Gradualism, Transparency and the Improved Operational Framework: A Look at Overnight Volatility Transmission," International Finance, Wiley Blackwell, vol. 12(2), pages 151-170, August.
    5. Higgins, Patrick & Zha, Tao & Zhong, Wenna, 2016. "Forecasting China's economic growth and inflation," China Economic Review, Elsevier, vol. 41(C), pages 46-61.
    6. Weber, Christoph S., 2019. "The effect of central bank transparency on exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
    7. Paul Hubert, 2015. "The Influence and Policy Signalling Role of FOMC Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(5), pages 655-680, October.
    8. Bhaghoe, Sailesh & Ooft, Gavin, 2020. "Modelling Exchange-Rate Volatility With Commodity Prices," Studies in Applied Economics 165, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    9. Paul Hubert, 2014. "FOMC Forecasts as a Focal Point for Private Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1381-1420, October.
    10. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, September.
    11. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    12. Paul Hubert, 2015. "The Influence and Policy Signalling Role of FOMC Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(5), pages 655-680, October.
    13. Eddie Casey & Diarmaid Smyth, 2016. "Revisions to Macroeconomic Data: Ireland and the OECD," The Economic and Social Review, Economic and Social Studies, vol. 47(1), pages 33-68.
    14. van der Cruijsen, C.A.B. & Eijffinger, S.C.W., 2007. "The Economic Impact of Central Bank Transparency : A Survey," Discussion Paper 2007-06, Tilburg University, Center for Economic Research.
    15. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    16. Carvalho, Fabia A. & Minella, André, 2012. "Survey forecasts in Brazil: A prismatic assessment of epidemiology, performance, and determinants," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1371-1391.
    17. Pierdzioch, Christian & Rülke, Jan-Christoph, 2014. "Central banks’ interest rate projections and forecast coordination," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 130-137.
    18. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2011. "Geography, skills or both: What explains Fed watchers' forecast accuracy of US monetary policy?," Journal of Macroeconomics, Elsevier, vol. 33(3), pages 420-437, September.
    19. Dunbar, Kwamie & Amin, Abu S., 2015. "The nature and impact of the market forecasting errors in the Federal funds futures market," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 174-192.
    20. Berger, Helge & Ehrmann, Michael & Fratzscher, Marcel, 2006. "Geography or skills: What explains Fed watchers’ forecast accuracy of US monetary policy?," Working Paper Series 695, European Central Bank.
    21. M. Middeldorp, 2011. "Central Bank Transparency, the Accuracy of Professional Forecasts, and Interest Rate Volatility," Working Papers 11-12, Utrecht School of Economics.
    22. van der Cruijsen, C.A.B., 2008. "The economic impact of central bank transparency," Other publications TiSEM 86c1ba91-1952-45b4-adac-8, Tilburg University, School of Economics and Management.

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    More about this item

    Keywords

    Federal Open Market Committee; Economic forecasting;

    JEL classification:

    • E59 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Other
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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