IDEAS home Printed from https://ideas.repec.org/a/sgh/gosnar/y2014i3p63-80.html
   My bibliography  Save this article

Pomiar obciążenia wskaźnika cen towarów i usług konsumpcyjnych

Author

Listed:
  • Jacek Białek

Abstract

Wskaźnik cen towarów i usług konsumpcyjnych (CPI, Consumer Price Index) stosowany jest jako podstawowa miara inflacji. W praktyce do pomiaru CPI używany jest indeks cen Laspeyresa z wagami z okresu bazowego. Tak liczony indeks nie uwzględnia zmian w strukturze konsumpcji, które są spowodowane zmianami cen w badanym przedziale czasowym. Oznacza to, że indeks liczony formułą Laspeyresa może być obciążony z tytułu substytucji dóbr (commodity substytution bias). Celem pracy jest omówienie potencjalnych źródeł obciążenia indeksu CPI oraz zastosowanie dwóch podejść do jego oszacowania. Pierwsze z nich wiąże się z pojęciem tzw. indeksów superlatywnych. Drugie związane jest z uogólnionym indeksem Fishera i pozwala na bardziej szczegółową dekompozycję obciążenia indeksu CPI. W artykule, poza wynikami badania empirycznego dla danych dla Polski, zaprezentowano również badanie symulacyjne uwzględniające uogólniony indeks Fishera. Analiza empiryczna dla okresu I 2010 – I 2013 prowadzi do wniosku o niewielkim, choć niestabilnym w czasie obciążeniu CPI wynikającym z tytułu substytucji dóbr. Badanie symulacyjne z kolei pozwala stwierdzić, że imputacja cen dóbr nowych i znikających ma diametralny wpływ na wielkość obciążenia CPI z tytułu ich substytucji. Ponadto można zaobserwować, że znak i wielkość korelacji pomiędzy cenami a ilościami dóbr z analizowanego koszyka CPI z reguły nie mają wpływu na wielkość obciążenia CPI w szerokim sensie.

Suggested Citation

  • Jacek Białek, 2014. "Pomiar obciążenia wskaźnika cen towarów i usług konsumpcyjnych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 63-80.
    • Handle: RePEc:sgh:gosnar:y:2014:i:3:p:63-80
    as

    Download full text from publisher

    File URL: http://www.journalssystem.com/gna/pdf-100882-33049
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Samuelson, Paul A & Swamy, S, 1974. "Invariant Economic Index Numbers and Canonical Duality: Survey and Synthesis," American Economic Review, American Economic Association, vol. 64(4), pages 566-593, September.
    2. William D. Nordhaus, 1998. "Quality Change in Price Indexes," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 59-68, Winter.
    3. Allan Crawford, 1998. "Measurement biases in the Canadian CPI: An update," Bank of Canada Review, Bank of Canada, vol. 1998(Spring), pages 39-56.
    4. Alan G. White, 1999. "Measurement Biases in Consumer Price Indexes," International Statistical Review, International Statistical Institute, vol. 67(3), pages 301-325, December.
    5. Silver, Mick & Heravi, Saeed, 2007. "Why elementary price index number formulas differ: Evidence on price dispersion," Journal of Econometrics, Elsevier, vol. 140(2), pages 874-883, October.
    6. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    7. Sidney N. Afriat, 1972. "The Theory of International Comparisons of Real Income and Prices," NBER Chapters, in: International Comparisons of Prices and Output, pages 13-84, National Bureau of Economic Research, Inc.
    8. Alastair Cunningham, 1996. "Measurement Bias in Price Indices: An Application to the UK's RPI," Bank of England working papers 47, Bank of England.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jacek Białek, 2014. "Application of the Original Price Index Formula to Measuring the CPI’s Commodity Substitution Bias," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(1), pages 83-96, January.
    2. Jacek Białek & Elżbieta Roszko-Wójtowicz, 2021. "Dynamics of price level changes in the Visegrad group: comparative study," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 357-384, February.
    3. Randall K. Filer & Jan Hanousek, 2003. "Inflationary Bias in Mid to Late Transition Czech Republic," Development and Comp Systems 0306001, University Library of Munich, Germany.
    4. Hoffmann, Johannes, 1998. "Problems of inflation measurement in Germany," Discussion Paper Series 1: Economic Studies 1998,01e, Deutsche Bundesbank.
    5. Herzberg, Julika & Knetsch, Thomas A. & Schwind, Patrick & Weinand, Sebastian, 2021. "Quantifying bias and inaccuracy of upper-level aggregation in HICPs for Germany and the euro area," Discussion Papers 06/2021, Deutsche Bundesbank.
    6. Aleksandra Hałka & Agnieszka Leszczyńska, 2011. "Wady i zalety wskaźnika cen towarów i usług konsumpcyjnych – szacunki obciążenia," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 51-75.
    7. Filer, Randall K. & Hanousek, Jan, 2003. "Inflationary bias in middle to late transition Czech Republic," Economic Systems, Elsevier, vol. 27(4), pages 367-376, December.
    8. Diewert, Erwin, 2007. "Index Numbers," Economics working papers diewert-07-01-03-08-17-23, Vancouver School of Economics, revised 31 Jan 2007.
    9. Roszko-Wójtowicz Elżbieta & Białek Jacek, 2018. "The Size of the Substitution Bias of Inflation Measurement in Relation to the Level of Innovativeness of The European Union’s Economies," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(4), pages 79-97, December.
    10. Claude Hillinger, 2002. "A General Theory of Price and Quantity Aggregation and Welfare Measurement," CESifo Working Paper Series 818, CESifo.
    11. Armstrong, Keir G., 2001. "Microeconomic Foundations for the Theory of International Comparisons," Journal of Economic Theory, Elsevier, vol. 101(2), pages 585-605, December.
    12. Huffman, Wallace, 2004. "Marketizing U.S. Production in the Post-War Era: Implications for Estimating CPI Bias and Real Income from a Complete-Household-Demand System," Staff General Research Papers Archive 11987, Iowa State University, Department of Economics.
    13. Neary, P.J., 1996. "True Multilateral Indexex for International Comparisons of Purchasing Power and Real Income," Papers 96/22, College Dublin, Department of Political Economy-.
    14. Nicholas Oulton, 2012. "How To Measure Living Standards And Productivity," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(3), pages 424-456, September.
    15. M. Martin Boyer, 2003. "Is the Demand for Corporate Insurance a Habit? Evidence from Directors' and Officers' Insurance," CIRANO Working Papers 2003s-42, CIRANO.
    16. C. J. O'Donnell, 2012. "Alternative Indexes for Multiple Comparisons of Quantities and Prices," CEPA Working Papers Series WP052012, School of Economics, University of Queensland, Australia.
    17. Huffman, Wallace, 2006. "The Story Behind the Post-War Decline in Women's Housework: Prices, Income, Family Size, and Technology Effects in a Demand System," Staff General Research Papers Archive 12601, Iowa State University, Department of Economics.
    18. Hillinger, Claude, 2008. "Measuring Real Value and Inflation," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-26.
    19. Shiratsuka, Shigenori, 2001. "Is There a Desirable Rate of Inflation? A Theoretical and Empirical Survey," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(2), pages 49-83, May.
    20. Silver, Mick & Heravi, Saeed, 2005. "A Failure in the Measurement of Inflation: Results From a Hedonic and Matched Experiment Using Scanner Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 269-281, July.

    More about this item

    Keywords

    CPI; indeks superlatywny; indeks Laspeyresa; indeks Fishera;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    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:sgh:gosnar:y:2014:i:3:p:63-80. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Grzegorz Konat (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.