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Exploring trend inFLation dynamics in Euro Area countries

Author

Listed:
  • Mónica Correa-López

    (Banco de España)

  • Matías Pacce

    (Banco de España)

  • Kathi Schlepper

    (Deutsche Bundesbank)

Abstract

This paper analyzes the inflation processes of twelve Euro Area countries over the period 1984:q1-2017:q4. The stylized features of inflation uncover its changing nature and cross-country heterogeneity, in terms of mean, volatility and persistence. After estimation of a wide array of unobserved components models, we isolate trend inflation rates in a framework that allows for time-varying inflation gap persistence and stochastic volatility in both the trend and transitory components. On average, a sizeable share of overall inflation dynamics is accounted for by movements in the trend. In explaining trend dynamics, we consistently find a signficant role for short-term inflation expectations, economic slack, and openness variables. However, the cumulated impacts of these are fairly small, except in certain, sustained episodes. This is of policy relevance since the monetary authority might want to respond to shocks that are prone to affect the inflation trend in order to ensure that long-term inflation expectations remain anchored.

Suggested Citation

  • Mónica Correa-López & Matías Pacce & Kathi Schlepper, 2019. "Exploring trend inFLation dynamics in Euro Area countries," Working Papers 1909, Banco de España.
  • Handle: RePEc:bde:wpaper:1909
    as

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    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/19/Fich/dt1909e.pdf
    File Function: First version, March 2019
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    References listed on IDEAS

    as
    1. Christine Garnier & Elmar Mertens & Edward Nelson, 2015. "Trend Inflation in Advanced Economies," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 65-136, September.
    2. Michael Dotsey & Shigeru Fujita & Tom Stark, 2018. "Do Phillips Curves Conditionally Help to Forecast Inflation?," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 43-92, September.
    3. Joshua C. C. Chan, 2018. "Specification tests for time-varying parameter models with stochastic volatility," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 807-823, September.
    4. Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2013. "A New Model of Trend Inflation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 94-106, January.
    5. International Monetary Fund, 2010. "Estimating Potential Output with a Multivariate Filter," IMF Working Papers 2010/285, International Monetary Fund.
    6. Todd E. Clark, 2011. "Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 327-341, July.
    7. Robert J. Gordon, 2011. "The History of the Phillips Curve: Consensus and Bifurcation," Economica, London School of Economics and Political Science, vol. 78(309), pages 10-50, January.
    8. Christopher Bowdler & Luca Nunziata, 2007. "Inflation Adjustment and Labour Market Structures: Evidence from a Multi‐country Study," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(3), pages 619-642, September.
    9. Alberto Musso & Livio Stracca & Dick van Dijk, 2009. "Instability and Nonlinearity in the Euro-Area Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 181-212, June.
    10. Clark, Todd E. & Doh, Taeyoung, 2014. "Evaluating alternative models of trend inflation," International Journal of Forecasting, Elsevier, vol. 30(3), pages 426-448.
    11. Gary Koop & Simon M. Potter, 2007. "Estimation and Forecasting in Models with Multiple Breaks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 763-789.
    12. Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
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    Cited by:

    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza, 2022. "Inflation in the G7 countries: persistence and structural breaks," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 493-506, July.
    2. Álvarez, Luis J. & Correa-López, Mónica, 2020. "Inflation expectations in euro area Phillips curves," Economics Letters, Elsevier, vol. 195(C).
    3. Popović Svetlana & Janković Irena & Lukić Velimir, 2022. "Inflation and Inflation Differentials in Core Eurozone Countries," Economic Themes, Sciendo, vol. 60(2), pages 165-186, June.
    4. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.

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    More about this item

    Keywords

    trend inflation; inflation dynamics; UCSV models; monetary policy;
    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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