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

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Author Info
Michal Franta () (Czech National Bank, CERGE-EI)
Branislav Saxa () (Czech National Bank, CERGE-EI)
Katerina Smidkova () (Czech National Bank, Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic)

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Abstract

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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Publisher Info
Paper provided by Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies in its series Working Papers IES with number 2008/25.

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Length: 35pages
Date of creation: Oct 2008
Date of revision: Oct 2008
Handle: RePEc:fau:wpaper:wp2008_25

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Related research
Keywords: inflation persistence; new hybrid Phillips curve; new member states; time-varying mean;

Find related papers by 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
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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