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The Distribution Analysis of the Inflation Components of Turkey

Author

Listed:
  • A. Nazif Catik

    () (Department of Economics, Ege University)

  • A. Özlem Önder

    () (Department of Economics, Ege University)

Abstract

This paper investigates distribution of inflation items using various measures of skewness and kurtosis for Turkey covering the period 1996-2007. Considering sensitivity of traditional distribution measures to outlying observations robust skewness and kurtosis are also computed as a novelty. Analysis results mainly reveal that inflation components are right skewed and fat tailed as documented by the previous studies. However due to possible effects of the outliers traditional measures, in particular skewness, are lagging behind the robust measures in identifying underlying dispersion. Therefore one can say that weighted mean inflation used to measure general price changes is not trustworthy and a biased estimator of central location. Our results further suggest that core measures based on constant and symmetric trimming applied by the previous studies for Turkey is somewhat deficient since skewness of the data is ignored in the estimation process. Therefore, to obtain more reliable information in monitoring general price movements we suggest use of asymmetric trimmed means estimators which allows trimming different percentages from each tail of the distribution.

Suggested Citation

  • A. Nazif Catik & A. Özlem Önder, 2009. "The Distribution Analysis of the Inflation Components of Turkey," Working Papers 0902, Ege University, Department of Economics.
  • Handle: RePEc:ege:wpaper:0902
    as

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    File URL: http://iibf.ege.edu.tr/economics/papers/wp09-02.pdf
    File Function: First version, 2009
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    References listed on IDEAS

    as
    1. A. Ozlem Onder, 2009. "The stability of the Turkish Phillips curve and alternative regime shifting models," Applied Economics, Taylor & Francis Journals, vol. 41(20), pages 2597-2604.
    2. Richard De Abreu Lourenco & David Gruen, 1995. "Price Stickiness and Inflation," RBA Research Discussion Papers rdp9502, Reserve Bank of Australia.
    3. Döpke Jörg & Pierdzioch Christian, 2003. "Inflation and the Skewness of the Distribution of Relative Price Changes: Empirical Evidence for Germany / Inflation und die Schiefe der Verteilung relativer Preisänderungen: Empirische Evidenz für De," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, pages 136-158.
    4. A. Özlem Önder, 2004. "Forecasting Inflation in Emerging Markets by Using the Phillips Curve and Alternative Time Series Models," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(2), pages 71-82, March.
    5. Debelle, Guy & Lamont, Owen, 1997. "Relative Price Variability and Inflation: Evidence from U.S. Cities," Journal of Political Economy, University of Chicago Press, vol. 105(1), pages 132-152, February.
    6. Holly, Sean, 1997. "Relative Price Dispersion and the Rate of Inflation: The Evidence from Japan," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 12, pages 206-226.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Infation; Prices; Distribution; Robust Skewness; Robust; Kurtosis.;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • 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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