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Inflation Persistence: Is It Similar in the New EU Member States and the Euro Area Members?



Inflation persistence has been put forward as one of the potential reasons of divergence among euro area members. It has also been proposed that the new EU Member States (NMS) may struggle with even higher persistence due to convergence factors. We argue that persistence may not be as different between the two country groups as one might expect. However, this empirical result can only be obtained if the adequate estimation methods, reflecting the scope of the convergence process the NMS went through, are applied. We emphasize that a time-varying mean models suggest similar or lower inflation persistence for the NMS compared to euro area countries while more traditional parametric statistical measures assuming a constant mean deliver substantially higher persistence estimates for the NMS than for the euro area countries. This difference is due to frequent breaks in inflation time series in the NMS. Structural persistence measures show that backward-looking behavior may be a more important component in explaining inflation dynamics in the NMS than in the euro area countries.

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  • Michal Franta & Branislav Saxa & Katerina Smidkova, 2008. "Inflation Persistence: Is It Similar in the New EU Member States and the Euro Area Members?," Working Papers IES 2008/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2008.
  • Handle: RePEc:fau:wpaper:wp2008_25

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    References listed on IDEAS

    1. Patrick Honohan & Philip R. Lane, 2003. "Divergent inflation rates in EMU," Economic Policy, CEPR;CES;MSH, vol. 18(37), pages 357-394, October.
    2. Balázs Egert, 2007. "Real Convergence, Price Level Convergence and Inflation Differentials in Europe," CESifo Working Paper Series 2127, CESifo Group Munich.
    3. Balázs Égert, 2008. "Prices and Price Convergence in Emerging Europe: an Overview," National Institute Economic Review, National Institute of Economic and Social Research, vol. 204(1), pages 66-84, April.
    4. Altissimo, Filippo & Benigno, Pierpaolo & Rodriguez Palenzuela, Diego, 2005. "Long-Run Determinants of Inflation Differentials in a Monetary Union," CEPR Discussion Papers 5149, C.E.P.R. Discussion Papers.
    5. Balázs Égert & László Halpern & Ronald MacDonald, 2006. "Equilibrium Exchange Rates in Transition Economies: Taking Stock of the Issues ," Journal of Economic Surveys, Wiley Blackwell, vol. 20(2), pages 257-324, April.
    6. Ashoka Mody & Franziska L Ohnsorge, 2007. "Can Domestic Policies Influence Inflation?," IMF Working Papers 07/257, International Monetary Fund.
    7. Fidrmuc, Jarko & Korhonen, Iikka, 2006. "Meta-analysis of the business cycle correlation between the euro area and the CEECs," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 518-537, September.
    8. Balázs Égert, 2007. "Real Convergence, Price Level Convergence and Inflation in Europe," Working Papers 267, Bruegel.
    9. Hofmann, Boris & Remsperger, Hermann, 2005. "Inflation differentials among the Euro area countries: Potential causes and consequences," Journal of Asian Economics, Elsevier, vol. 16(3), pages 403-419, June.
    10. Angeloni Ignazio & Ehrmann Michael, 2007. "Euro Area Inflation Differentials," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-36, August.
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    Cited by:

    1. Daniela Milučká, 2014. "Inflation dynamics in the Czech Republic: Estimation of the New Keynesian Phillips curve," International Journal of Economic Sciences, University of Economics, Prague, vol. 2014(2), pages 53-70.

    More about this item


    inflation persistence; new hybrid Phillips curve; new member states; time-varying mean;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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