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Inflation persistence in the euro area: the role of expectations

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  • Pablo Aguilar

Abstract

This article analyses agents’ perception of the period of low inflation in recent years, in the context of a model in which these agents form their expectations on the basis of simple forecasting rules. The approach used allows a distinction to be drawn between which portion of the low inflation phenomenon might be due to temporary factors and which might be considered permanent. The results of the analysis for the euro area suggest that agents perceive the inflation rate’s recent departure from the monetary policy objective to be predominantly temporary, although these deviations are marked by a considerable degree of persistence. In comparative terms, the estimated persistence in the case of the euro area of the deviations observed from the inflation target approximately double those in the United States over the 1-and 5-year horizons.

Suggested Citation

  • Pablo Aguilar, 2020. "Inflation persistence in the euro area: the role of expectations," Economic Bulletin, Banco de España, issue 4/2020.
  • Handle: RePEc:bde:journl:y:2020:i:12:d:aa:n:36
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    References listed on IDEAS

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    1. Marcet, Albert & Sargent, Thomas J, 1989. "Convergence of Least-Squares Learning in Environments with Hidden State Variables and Private Information," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1306-1322, December.
    2. Stefano Eusepi & Bruce Preston, 2011. "Expectations, Learning, and Business Cycle Fluctuations," American Economic Review, American Economic Association, vol. 101(6), pages 2844-2872, October.
    3. Bobeica, Elena & Sokol, Andrej, 2019. "Drivers of underlying inflation in the euro area over time: a Phillips curve perspective," Economic Bulletin Articles, European Central Bank, vol. 4.
    4. Luis J. Álvarez & Emmanuel Dhyne & Marco Hoeberichts & Claudia Kwapil & Hervé Le Bihan & Patrick Lünnemann & Fernando Martins & Roberto Sabbatini & Harald Stahl & Philip Vermeulen & Jouko Vilmunen, 2006. "Sticky Prices in the Euro Area: A Summary of New Micro-Evidence," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 575-584, 04-05.
    5. Bouakez, Hafedh & Cardia, Emanuela & Ruge-Murcia, Francisco, 2014. "Sectoral price rigidity and aggregate dynamics," European Economic Review, Elsevier, vol. 65(C), pages 1-22.
    6. Sergey Slobodyan & Raf Wouters, 2012. "Learning in a Medium-Scale DSGE Model with Expectations Based on Small Forecasting Models," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(2), pages 65-101, April.
    7. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    8. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
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    More about this item

    Keywords

    expectations; inflation; learning.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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