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The common and specific components of inflation expectations across European countries

Author

Listed:
  • Shi Chen

    (Karlsruher Institut für Technologie)

  • Wolfgang Karl Härdle

    (Humboldt-Universität zu Berlin
    Singapore Management University
    Xiamen University
    National Chiao Tung University)

  • Weining Wang

    (York University)

Abstract

Inflation expectations (IEs) are often considered to be an important determinant of actual inflation in modern economic theory. This paper studies IE estimates across several European countries, focusing particularly on the key factors that determine the IE dynamics. We first use an arbitrage-free term structure model with both nominal and inflation-indexed bond yields to efficiently obtain the estimates for country-specific IEs. Second, we study the common and specific components of IE estimates in a multi-country factor model framework. We find that the estimated common IE component is an important driver for each country of interest especially for those EMU countries and can be used by central banks as a tool to help anchor IEs and enhance the conduct of monetary policy.

Suggested Citation

  • Shi Chen & Wolfgang Karl Härdle & Weining Wang, 2022. "The common and specific components of inflation expectations across European countries," Empirical Economics, Springer, vol. 62(2), pages 553-580, February.
  • Handle: RePEc:spr:empeco:v:62:y:2022:i:2:d:10.1007_s00181-021-02027-1
    DOI: 10.1007/s00181-021-02027-1
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    1. Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
    2. Tomas Björk & Bent Jesper Christensen, 1999. "Interest Rate Dynamics and Consistent Forward Rate Curves," Mathematical Finance, Wiley Blackwell, vol. 9(4), pages 323-348, October.
    3. Christensen, Jens H.E. & Diebold, Francis X. & Rudebusch, Glenn D., 2011. "The affine arbitrage-free class of Nelson-Siegel term structure models," Journal of Econometrics, Elsevier, vol. 164(1), pages 4-20, September.
    4. Diebold, Francis X. & Li, Canlin & Yue, Vivian Z., 2008. "Global yield curve dynamics and interactions: A dynamic Nelson-Siegel approach," Journal of Econometrics, Elsevier, vol. 146(2), pages 351-363, October.
    5. Cristiano Varin, 2008. "On composite marginal likelihoods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(1), pages 1-28, February.
    6. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    7. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    8. Joyce, Michael A.S. & Lildholdt, Peter & Sorensen, Steffen, 2010. "Extracting inflation expectations and inflation risk premia from the term structure: A joint model of the UK nominal and real yield curves," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 281-294, February.
    9. Yun Bai & Peter X.-K. Song & T. E. Raghunathan, 2012. "Joint composite estimating functions in spatiotemporal models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 74(5), pages 799-824, November.
    10. Yun Bai & Jian Kang & Peter X.-K. Song, 2014. "Efficient pairwise composite likelihood estimation for spatial-clustered data," Biometrics, The International Biometric Society, vol. 70(3), pages 661-670, September.
    11. Jens H. E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2010. "Inflation Expectations and Risk Premiums in an Arbitrage-Free Model of Nominal and Real Bond Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 143-178, September.
    12. John Y. Campbell & Robert J. Shiller & Luis M. Viceira, 2009. "Understanding Inflation-Indexed Bond Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 79-138.
    13. Golosnoy, Vasyl & Roestel, Jan, 2019. "Real-Time Monitoring Of The Us Inflation Expectation Process," Macroeconomic Dynamics, Cambridge University Press, vol. 23(6), pages 2221-2249, September.
    14. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    15. Carolin E. Pflueger & Luis M. Viceira, 2011. "Inflation-Indexed Bonds and the Expectations Hypothesis," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 139-158, December.
    16. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
    17. Rolf Schenker & Martin Straub, 2011. "Spatio-temporal dynamics in Swiss regional unemployment," KOF Working papers 11-274, KOF Swiss Economic Institute, ETH Zurich.
    18. John Y. Campbell & Robert J. Shiller & Luis M. Viceira, 2009. "Understanding Inflation-Indexed Bond Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 79-138.
    19. Tobias Adrian & Hao Wu, 2009. "The term structure of inflation expectations," Staff Reports 362, Federal Reserve Bank of New York.
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    More about this item

    Keywords

    Inflation expectations; Joint yield-curve modeling; Factor model; Common trend; Spatial–temporal copulas;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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