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What drives updates of inflation expectations? A Bayesian VAR analysis for the G-7 countries

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  • Belke, Ansgar
  • Beckmann, Joscha
  • Dubova, Irina

Abstract

Inflation expectations play a crucial role for monetary policy transmission, having become even more important since the emergence of unconventional monetary policy. Based on survey data provided by Consensus Economics, we assess determinants of professional inflation expectations for the G7 economies. We emphasize the role of international spillovers in inflation expectations stemming from monetary policy decisions in the US. We also consider several possible determinants, such as changes in the path of monetary policy, oil price shocks and uncertainty measures. Based on a Bayesian VAR, we find significant evidence for international spillovers stemming from expectations about US monetary policy based on impulse-response functions and forecast error decompositions. We also provide similar evidence on spillovers from the dispersion across inflation forecasts.

Suggested Citation

  • Belke, Ansgar & Beckmann, Joscha & Dubova, Irina, 2018. "What drives updates of inflation expectations? A Bayesian VAR analysis for the G-7 countries," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181518, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc18:181518
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    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Martin Cerisola & Gaston Gelos, 2009. "What drives inflation expectations in Brazil? An empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 41(10), pages 1215-1227.
    3. El-Shagi, Makram & Giesen, Sebastian & Jung, Alexander, 2016. "Revisiting the relative forecast performances of Fed staff and private forecasters: A dynamic approach," International Journal of Forecasting, Elsevier, vol. 32(2), pages 313-323.
    4. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    5. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    6. K. Istrefi & A. Piloiu, 2016. "Economic policy uncertainty and inflation expectations," Rue de la Banque, Banque de France, issue 33, november..
    7. Taylor, John B., 2013. "International monetary coordination and the great deviation," Journal of Policy Modeling, Elsevier, vol. 35(3), pages 463-472.
    8. Waldyr D. Areosa, 2016. "What drives inflation expectations in Brazil? Public versus private information," Working Papers Series 418, Central Bank of Brazil, Research Department.
    9. Ricardo Reis, 2006. "Inattentive Producers," Review of Economic Studies, Oxford University Press, vol. 73(3), pages 793-821.
    10. Neely, Christopher J., 2015. "Unconventional monetary policy had large international effects," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 101-111.
    11. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    12. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    13. Haldane, Andrew & Roberts-Sklar, Matt & Wieladek, Tomasz & Young, Chris, 2016. "QE: the story so far," CEPR Discussion Papers 11691, C.E.P.R. Discussion Papers.
    14. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    15. Neely, Christopher J. & Rapach, David E., 2011. "International comovements in inflation rates and country characteristics," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1471-1490.
    16. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    17. Ciccarelli, Matteo & García, Juan Angel, 2015. "International spillovers in inflation expectations," Working Paper Series 1857, European Central Bank.
    18. Haroon Mumtaz & Paolo Surico, 2012. "Evolving International Inflation Dynamics: World And Country-Specific Factors," Journal of the European Economic Association, European Economic Association, vol. 10(4), pages 716-734, August.
    19. Robert J. Barro & David B. Gordon, 2019. "A Positive Theory of Monetary Policy in a Natural Rate Model," Credit and Capital Markets, Credit and Capital Markets, vol. 52(4), pages 505-525.
    20. Belke, Ansgar & Orth, Walter & Setzer, Ralph, 2010. "Liquidity and the dynamic pattern of asset price adjustment: A global view," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1933-1945, August.
    21. Aaron Mehrotra & James Yetman, 2014. "How anchored are inflation expectations in Asia? Evidence from surveys of professional forecasters," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 181-191, Bank for International Settlements.
    22. Michael Debabrata Patra & Partha Ray, 2010. "Inflation Expectations and Monetary Policy in India: An Empirical Exploration," IMF Working Papers 2010/084, International Monetary Fund.
    23. Beckmann, Joscha & Belke, Ansgar & Czudaj, Robert, 2014. "Does global liquidity drive commodity prices?," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 224-234.
    24. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575, December.
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    More about this item

    Keywords

    Bayesian VAR; expectations; inflation; survey data; updating;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • 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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