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On the Persistence of UK Inflation: A Long-Range Dependence Approach

Author

Listed:
  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana
  • Tommaso Trani

Abstract

This paper examines the degree of persistence in UK inflation by applying long-memory methods to historical data that span the period from 1660 to 2016. Specifically, we use both parametric and non-parametric fractional integration techniques, that are more general than those based on the classical I(0) vs. I(1) dichotomy. Further, we carry out break tests to detect any shifts in the degree of persistence, and also run rolling-window and recursive regressions to investigate its evolution over time. On the whole, the evidence suggests that the degree of persistence of UK inflation has been relatively stable following the Bretton Woods period, despite the adoption of different monetary regimes. The estimation of an unobserved-components stochastic volatility model sheds further light on the issues of interest by showing that post-Bretton Woods changes in UK inflation are attributable to a fall in the volatility of permanent shocks.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana & Tommaso Trani, 2018. "On the Persistence of UK Inflation: A Long-Range Dependence Approach," Discussion Papers of DIW Berlin 1731, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1731
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    References listed on IDEAS

    as
    1. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
    2. Meenagh, David & Minford, Patrick & Nowell, Eric & Sofat, Prakriti & Srinivasan, Naveen, 2009. "Can the facts of UK inflation persistence be explained by nominal rigidity?," Economic Modelling, Elsevier, vol. 26(5), pages 978-992, September.
    3. Gil-Alana, L. A. & Robinson, P. M., 1997. "Testing of unit root and other nonstationary hypotheses in macroeconomic time series," Journal of Econometrics, Elsevier, vol. 80(2), pages 241-268, October.
    4. Denise R. Osborn & Marianne Sensier, 2009. "Uk Inflation: Persistence, Seasonality And Monetary Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(1), pages 24-44, February.
    5. Pivetta, Frederic & Reis, Ricardo, 2007. "The persistence of inflation in the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1326-1358, April.
    6. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    7. Dixon, Huw & Kara, Engin, 2006. "Understanding inflation persistence: a comparison of different models," Working Paper Series 672, European Central Bank.
    8. Benati, Luca, 2008. "Investigating inflation persistence across monetary regimes," Working Paper Series 851, European Central Bank.
    9. Michael Arghyrou & Christopher Martin & Costas Milas, 2005. "Non-linear inflationary dynamics: evidence from the UK," Oxford Economic Papers, Oxford University Press, vol. 57(1), pages 51-69, January.
    10. Edward Nelson, 2009. "An Overhaul of Doctrine: The Underpinning of UK Inflation Targeting," Economic Journal, Royal Economic Society, vol. 119(538), pages 333-368, June.
    11. Ignacio N Lobato & Carlos Velasco, 2007. "Efficient Wald Tests for Fractional Unit Roots," Econometrica, Econometric Society, vol. 75(2), pages 575-589, March.
    12. Luis A. Gil‐Alana, 2008. "Fractional integration and structural breaks at unknown periods of time," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(1), pages 163-185, January.
    13. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    14. Omori, Yasuhiro & Chib, Siddhartha & Shephard, Neil & Nakajima, Jouchi, 2007. "Stochastic volatility with leverage: Fast and efficient likelihood inference," Journal of Econometrics, Elsevier, vol. 140(2), pages 425-449, October.
    15. Uwe Hassler & Barbara Meller, 2014. "Detecting multiple breaks in long memory the case of U.S. inflation," Empirical Economics, Springer, vol. 46(2), pages 653-680, March.
    16. Carl E. Walsh, 2007. "Optimal Economic Transparency," International Journal of Central Banking, International Journal of Central Banking, vol. 3(1), pages 5-36, March.
    17. Nelson, Edward & Nikolov, Kalin, 2004. "Monetary Policy and Stagflation in the UK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 293-318, June.
    18. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
    19. Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II U.S. Inflation Dynamics," NBER Chapters,in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388 National Bureau of Economic Research, Inc.
    20. James H. Stock & Mark W. Watson, 2010. "Modeling inflation after the crisis," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 173-220.
    21. Michael P. Clements & Marianne Sensier, 2003. "Asymmetric output-gap effects in Phillips Curve and mark-up pricing models: Evidence for the US and the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(4), pages 359-374, September.
    22. Luca Benati, 2008. "Investigating Inflation Persistence Across Monetary Regimes," The Quarterly Journal of Economics, Oxford University Press, vol. 123(3), pages 1005-1060.
    23. repec:oup:restud:v:82:y:2015:i:4:p:1342-1345. is not listed on IDEAS
    24. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    25. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," Review of Economic Studies, Oxford University Press, vol. 82(4), pages 1342-1345.
    26. Nelson, Edward, 2001. "What Does the UK's Monetary Policy and Inflation Experience Tell Us About the Transmission Mechanism?," CEPR Discussion Papers 3047, C.E.P.R. Discussion Papers.
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    More about this item

    Keywords

    UK inflation; persistence; fractional integration;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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

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