IDEAS home Printed from https://ideas.repec.org/p/anc/wpaper/289.html
   My bibliography  Save this paper

Testing similarities of short-run inflation dynamics among EU countries after the Euro

Author

Listed:
  • Giulio PALOMBA

    ([n.a.])

  • Emma SARNO

    ([n.a.])

  • Alberto ZAZZARO

    () (Universita' Politecnica delle Marche, Dipartimento di Economia)

Abstract

In this paper we introduce new definitions of pairwise and multivariate similarity between short-run dynamics of inflation rates in terms of equality of forecast functions and show that in the context of invertible ARIMA processes the Autoregressive distance introduced by Piccolo (1990) is a useful measure to evaluate such similarity. Then, we study the similarity of shortrun inflation dynamics across EU-15 area countries during the Euro period. Consistent with studies on inflation differentials and inflation persistence, our findings suggest that after seven years from the launch of the Euro the degree of similarity of short-run inflation dynamics across EU countries is still weak.

Suggested Citation

  • Giulio PALOMBA & Emma SARNO & Alberto ZAZZARO, 2007. "Testing similarities of short-run inflation dynamics among EU countries after the Euro," Working Papers 289, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    • Handle: RePEc:anc:wpaper:289
    as

    Download full text from publisher

    File URL: http://docs.dises.univpm.it/web/quaderni/pdf/289.pdf
    File Function: First version, 2007
    Download Restriction: no

    References listed on IDEAS

    as
    1. Aksoy, Yunus & De Grauwe, Paul & Dewachter, Hans, 2002. "Do asymmetries matter for European monetary policy?," European Economic Review, Elsevier, vol. 46(3), pages 443-469, March.
    2. Emma SARNO & Alberto ZAZZARO, 2003. "Structural Convergence of Macroeconomic Time Series: Evidence for Inflation Rates in EU Countries," Working Papers 180, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Bernard, Andrew B. & Durlauf, Steven N., 1996. "Interpreting tests of the convergence hypothesis," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 161-173.
    4. Benigno, Pierpaolo, 2004. "Optimal monetary policy in a currency area," Journal of International Economics, Elsevier, vol. 63(2), pages 293-320, July.
    5. Maharaj, E.A., 1994. "A Significance Test for Classifying ARMA Models," Monash Econometrics and Business Statistics Working Papers 18/94, Monash University, Department of Econometrics and Business Statistics.
    6. Mojon, Benoît & Peersman, Gert, 2001. "A VAR description of the effects of monetary policy in the individual countries of the euro area," Working Paper Series 0092, European Central Bank.
    7. Levin, Andrew T. & Moessner, Richhild, 2005. "Inflation persistence and monetary policy design: an overview," Working Paper Series 539, European Central Bank.
    8. Hall, Stephen G & Robertson D & Wickens, M R, 1997. "Measuring Economic Convergence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 131-143, April.
    9. Meese, Richard & Geweke, John, 1984. "A Comparison of Autoregressive Univariate Forecasting Procedures for Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 191-200, July.
    10. Kirstin Hubrich & Guenter Beck & Massimiliano Marcellino, "undated". "Regional Inflation Dynamics within and across Euro Area Countries and a Comparison with the US," Regional and Urban Modeling 283600037, EcoMod.
    11. Fabio Busetti & Lorenzo Forni & Andrew Harvey & Fabrizio Venditti, 2007. "Inflation Convergence and Divergence within the European Monetary Union," International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 95-121, June.
    12. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    13. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    14. Hall, Alastair R, 1994. "Testing for a Unit Root in Time Series with Pretest Data-Based Model Selection," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 461-470, October.
    15. Francisco J. MartÎn-âlvarez & Victor J. Cano-FernÂndez & JosÊ J. CÂceres-HernÂndez, 1999. "The introduction of seasonal unit roots and cointegration to test index aggregation optimality: An application to a Spanish farm price index," Empirical Economics, Springer, vol. 24(3), pages 403-414.
    16. Mentz, Markus & Sebastian, Steffen P., 2003. "Inflation convergence after the introduction of the Euro," CFS Working Paper Series 2003/30, Center for Financial Studies (CFS).
    17. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    18. Caiado, Jorge & Crato, Nuno & Pena, Daniel, 2006. "A periodogram-based metric for time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2668-2684, June.
    19. Angeloni Ignazio & Ehrmann Michael, 2007. "Euro Area Inflation Differentials," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-36, August.
    20. Mark Holmes, 1998. "Inflation Convergence in the ERM: Evidence for Manufacturing and Services," International Economic Journal, Taylor & Francis Journals, vol. 12(3), pages 1-16.
    21. Mark Holmes, 2002. "Panel data evidence on inflation convergence in the European Union," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 155-158.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Euro; autoregressive metric; inflation dynamics;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anc:wpaper:289. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Maurizio Mariotti). General contact details of provider: http://edirc.repec.org/data/deancit.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.