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Identyfikacja i usuwanie sezonowości ze wskaźników cen towarów i usług konsumpcyjnych w Polsce

Author

Listed:
  • Pierzak, Agnieszka

    (Ministry of Finance in Poland)

Abstract

Seasonally adjusted inflation indexes are available in official statistics and commonly used for analyzing demand pressure in many developed countries. This paper studies the seasonality of consumer prices in Poland. To address this issue we apply analyses in a time as well as in a frequency domain. The paper offers tentative calculations of the magnitude of monthly consumer price index variations corresponding with seasonal frequencies. Furthermore, we present the seasonal adjustment procedures applied worldwide and estimate monthly inflation indexes refined from seasonality for Poland. The main conclusion of this paper is that seasonal factors account for about 40% of monthly inflation volatility, which is, first and foremost, a consequence of specific food price changes over a year. Unprocessed food price dynamics variation is generated in 80% by seasonality and is ten times higher than CPI variation. Therefore, seasonally adjusted monthly inflation indexes in January, March, April, September and October are lower than not corrected series. Moreover, the greatest impact of seasonal factors is observed in June, July and August, when reductions in food prices are heightened by clothing sales, and seasonally adjusted indexes are significantly higher than raw indexes.

Suggested Citation

  • Pierzak, Agnieszka, 2010. "Identyfikacja i usuwanie sezonowości ze wskaźników cen towarów i usług konsumpcyjnych w Polsce," MF Working Papers 6, Ministry of Finance in Poland, revised 25 Aug 2010.
    • Handle: RePEc:ris:mfplwp:0006
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    References listed on IDEAS

    as
    1. Giancarlo Bruno, 2001. "Seasonal Adjustment of Italian Industrial Production Index using Tramo-Seats," ISAE Working Papers 18, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    2. Alberto Cabrero, 2000. "Seasonal Adjustment in Economic Time Series: the Experience of the Banco de España (with the model-based method)," Working Papers 0002, Banco de España.
    3. Michael F. Bryan & Stephen G. Cecchetti, 1995. "The seasonality of consumer prices," Economic Review, Federal Reserve Bank of Cleveland, issue Q II, pages 12-23.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    CPI; TRAMO SEATS; spectral analysis;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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