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A structural common factor approach to core inflation estimation and forecasting

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  • Morana, Claudio

Abstract

In the paper we propose a new methodological approach to core inflation estimation, based on a frequency domain principal components estimator, suited to estimate systems of fractionally cointegrated processes. The proposed core inflation measure is the scaled common persistent factor in inflation and excess nominal money growth and bears the interpretation of monetary inflation. The proposed measure is characterised by all the properties that an "ideal" core inflation process should show, providing also a superior forecasting performance relative to other available measures. JEL Classification: C22, E31, E52

Suggested Citation

  • Morana, Claudio, 2004. "A structural common factor approach to core inflation estimation and forecasting," Working Paper Series 305, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2004305
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    References listed on IDEAS

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    1. Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001. "Diffusion index-based inflation forecasts for the euro area," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 109-138, Bank for International Settlements.
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    4. Nelson, Edward, 2003. "The future of monetary aggregates in monetary policy analysis," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1029-1059, July.
    5. Fabio Bagliano & Roberto Golinelli & Claudio Morana, 2002. "Core inflation in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 353-357.
    6. Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001. "A multi-country trend indicator for euro area inflation: computation and properties," BIS Papers chapters, in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 81-108, Bank for International Settlements.
    7. Svensson, Lars E. O., 2003. "Comment on: The future of monetary aggregates in monetary policy analysis," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 1061-1070, July.
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    9. repec:cup:etheor:v:13:y:1997:i:3:p:315-52 is not listed on IDEAS
    10. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    11. Sun, Yixiao & Phillips, Peter C. B., 2003. "Nonlinear log-periodogram regression for perturbed fractional processes," Journal of Econometrics, Elsevier, vol. 115(2), pages 355-389, August.
    12. Bai, Jushan, 1997. "Estimating Multiple Breaks One at a Time," Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
    13. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    14. Beltratti, A. & Morana, C., 2006. "Breaks and persistency: macroeconomic causes of stock market volatility," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 151-177.
    15. Claudio Morana, 2004. "Frequency domain principal components estimation of fractionally cointegrated processes," Applied Economics Letters, Taylor & Francis Journals, vol. 11(13), pages 837-842.
    16. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
    17. Claudio Morana, 2004. "Some frequency domain properties of fractionally cointegrated processes," Applied Economics Letters, Taylor & Francis Journals, vol. 11(14), pages 891-894.
    18. Baillie, Richard T & Chung, Ching-Fan & Tieslau, Margie A, 1996. "Analysing Inflation by the Fractionally Integrated ARFIMA-GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 23-40, Jan.-Feb..
    19. Fabio C. Bagliano & Claudio Morana, 1999. "Measuring Core Inflation in Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 58(3-4), pages 301-328, December.
    20. Arrazola, Maria & de Hevia, Jose, 2002. "An alternative measure of core inflation," Economics Letters, Elsevier, vol. 75(1), pages 69-73, March.
    21. Fabio C. Bagliano & Claudio Morana, 2003. "A common trends model of UK core inflation," Empirical Economics, Springer, vol. 28(1), pages 157-172, January.
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    Cited by:

    1. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    2. Wojciech Charemza & Imran Husssain Shah, 2013. "Stability price index, core inflation and output volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 737-741, May.
    3. Claudio Morana, 2022. "Euro area inflation and a new measure of core inflation," Working Paper series 22-14, Rimini Centre for Economic Analysis, revised Nov 2023.
    4. Baillie, Richard T. & Morana, Claudio, 2012. "Adaptive ARFIMA models with applications to inflation," Economic Modelling, Elsevier, vol. 29(6), pages 2451-2459.
    5. Cavallero, Alessandro, 2011. "The convergence of inflation rates in the EU-12 area: A distribution dynamics approach," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 341-357, June.
    6. Franz Ruch & Mehmet Balcilar & Rangan Gupta & Mampho P. Modise, 2020. "Forecasting core inflation: the case of South Africa," Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3004-3022, June.
    7. Ascari, Guido & Rankin, Neil, 2007. "Perpetual youth and endogenous labor supply: A problem and a possible solution," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 708-723, December.

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    More about this item

    Keywords

    common factors; core inflation; euro area; fractional cointegration; long memory; Markov Switching;
    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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