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Monetary policy shocks, expectations and information rigidities

Author

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  • Joscha Beckmann

    (University of Duisburg-Essen, Department of Economics)

  • Robert Czudaj

Abstract

This paper contributes to the literature by assessing expectation effects from monetary policy for the G7 economies. We consider a sample period running from 1995M1 to 2016M6 based on a panel VAR framework, which accounts for international spillovers and time-variation. Relying on a broad set of expectation data from Consensus Economics, we start by analyzing whether monetary policy has changed the degree of information rigidity after the emergence of the subprime crisis. We proceed by estimating potential effects of interest rate changes on expectations, disagreements and forecast errors. We find strong evidence for information rigidities and identify higher forecast errors by professionals after monetary policy shocks. Our results suggest that the international transmission of monetary policy shocks introduces noisy information and partly increases disagreement among forecasters.

Suggested Citation

  • Joscha Beckmann & Robert Czudaj, 2018. "Monetary policy shocks, expectations and information rigidities," Chemnitz Economic Papers 019, Department of Economics, Chemnitz University of Technology.
    • Handle: RePEc:tch:wpaper:cep019
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    Cited by:

    1. Beckmann, Joscha & Czudaj, Robert L., 2024. "Uncertainty Shocks and Inflation: The Role of Credibility and Expectation Anchoring," MPRA Paper 119971, University Library of Munich, Germany.
    2. Cole, Stephen J. & Martínez-García, Enrique, 2023. "The effect of central bank credibility on forward guidance in an estimated New Keynesian model," Macroeconomic Dynamics, Cambridge University Press, vol. 27(2), pages 532-570, March.
    3. Dybowski, T. Philipp & Kempa, Bernd, 2020. "The European Central Bank’s monetary pillar after the financial crisis," Journal of Banking & Finance, Elsevier, vol. 121(C).
    4. Joscha Beckmann & Robert L. Czudaj, 2020. "Professional forecasters' expectations, consistency, and international spillovers," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1001-1024, November.
    5. Goldstein, Nathan & Zilberfarb, Ben-Zion, 2021. "Do forecasters really care about consensus?," Economic Modelling, Elsevier, vol. 100(C).
    6. Juan Camilo Galvis Ciro & Juan Camilo Anzoátegui Zapata, 2019. "Disagreement in inflation expectations: empirical evidence for Colombia," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4411-4424, August.
    7. Joscha Beckmann & Robert L. Czudaj, 2023. "The role of expectations for currency crisis dynamics—The case of the Turkish lira," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 625-642, April.
    8. Gaurav Kumar Singh & Tathagata Bandyopadhyay, 2024. "Determinants of disagreement: Learning from inflation expectations survey of households," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 326-343, March.

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    More about this item

    Keywords

    Bayesian econometrics; expectations; information rigidity; monetary policy; panel VAR;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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