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Policy implications of learning from more accurate Central Bank Forecasts

Author

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  • Paul Hubert

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

How might central bank communication of its internal forecasts assist the conduct of monetary policy? The literature has shown that heterogeneous expectations may have destabilizing effects on aggregate dynamics. This paper analyzes through adaptive learning the policy implications of central bank influence of private forecasts stemming from more accurate central bank forecasts. In this case, the central bank must only respect the Taylor principle to ensure macroeconomic stability, in contrast to the situation where private agents are learning from less accurate central bank forecasts.

Suggested Citation

  • Paul Hubert, 2015. "Policy implications of learning from more accurate Central Bank Forecasts," Post-Print hal-03459994, HAL.
  • Handle: RePEc:hal:journl:hal-03459994
    Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03459994
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    References listed on IDEAS

    as
    1. Paul Hubert, 2015. "Do Central Bank Forecasts Influence Private Agents? Forecasting Performance versus Signals," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(4), pages 771-789, June.
    2. Muto, Ichiro, 2011. "Monetary policy and learning from the central bank's forecast," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 52-66, January.
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    6. Seppo Honkapohja & Kaushik Mitra, 2006. "Learning Stability in Economies with Heterogeneous Agents," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(2), pages 284-309, April.
    7. 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.
    8. George W. Evans & Seppo Honkapohja, 2003. "Adaptive learning and monetary policy design," Proceedings, Federal Reserve Bank of Cleveland, pages 1045-1084.
    9. Preston, Bruce, 2008. "Adaptive learning and the use of forecasts in monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3661-3681, November.
    10. Honkapohja, Seppo & Mitra, Kaushik, 2005. "Performance of monetary policy with internal central bank forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 627-658, April.
    11. George William Evans, 2001. "Expectations in Macroeconomics Adaptive versus Eductive Learning," Revue économique, Presses de Sciences-Po, vol. 52(3), pages 573-582.
    12. Michael Woodford, 2001. "The Taylor Rule and Optimal Monetary Policy," American Economic Review, American Economic Association, vol. 91(2), pages 232-237, May.
    13. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-1311, July.
    14. Ben S. Bernanke & Michael Woodford, 1997. "Inflation forecasts and monetary policy," Proceedings, Federal Reserve Bank of Cleveland, pages 653-686.
    15. Paul Hubert, 2011. "Do central banks forecast influence private agents ? Forecasting performance vs. signals," Documents de Travail de l'OFCE 2011-20, Observatoire Francais des Conjonctures Economiques (OFCE).
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    More about this item

    Keywords

    Adaptive Learning; Taylor Principle; Monetary Policy;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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