IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v55y2021i1d10.1007_s11135-020-01021-6.html
   My bibliography  Save this article

Dynamics of price level changes in the Visegrad group: comparative study

Author

Listed:
  • Jacek Białek

    (University of Lodz)

  • Elżbieta Roszko-Wójtowicz

    (University of Lodz)

Abstract

In Poland, as in many other countries, to measure inflation, expressed both by the CPI and HICP, the Laspeyres price index with weights from the base period is used. Thus calculated index does not take into account changes in the consumption structure which are caused by changes in prices in the analysed time interval (i.e.: a year). Therefore, in countries where the CPI is determined based on the Laspeyres index, there is a high probability of its bias due to substitution of goods, but not only. The value of the CPI or HICP should approximate the real inflation as accurately as possible, among others, because these indicators are used to index nominal values in the economy, which in turn is important in price decisions made by enterprises. Searching for an answer to the question about the possibility of effective reduction of the measurement bias in measuring inflation, the authors conducted an empirical study whose main aim was to assess diversity of the level of inflation in the Visegrad countries at different levels of aggregation, with particular emphasis on the scale of the bias in measuring inflation resulting from substitution of goods. The study concentrated on determining the size of differences arising from the change in the index formula used when estimating the level of inflation. The article consists of six parts in which sources and types of bias in inflation measurement are discussed, index formulas divided into weighted and unweighted ones are reviewed, statistics on inflation in the Visegrad countries are presented in a dynamic approach, and the results of empirical research are presented and discussed. For the purpose of the research part and the need to perform a comparative analysis, data on the HICP value from the Eurostat database from the years 2011–2018 were used. Therefore, it seems that both the choice of the calculation formula and the level of data aggregation in the analysis of inflation is significant in its estimates.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:qualqt:v:55:y:2021:i:1:d:10.1007_s11135-020-01021-6
    DOI: 10.1007/s11135-020-01021-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-020-01021-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-020-01021-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. J. Prais, 1959. "Whose Cost of Living?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 26(2), pages 126-134.
    2. Allan Crawford, 1998. "Measurement biases in the Canadian CPI: An update," Bank of Canada Review, Bank of Canada, vol. 1998(Spring), pages 39-56.
    3. Paolo Giovane & Roberto Sabbatini, 2008. "Perceived and measured inflation after the launch of the euro: explaining the gap in Italy," Springer Books, in: Paolo Giovane & Roberto Sabbatini (ed.), The Euro, Inflation and Consumer’s Perceptions, chapter 1, pages 13-49, Springer.
    4. J. Ruiz-Castillo & E. Ley & M. Izquierdo, 2002. "The Laspeyres bias in the Spanish consumer price index," Applied Economics, Taylor & Francis Journals, vol. 34(18), pages 2267-2276.
    5. Jerry Hausman, 2003. "Sources of Bias and Solutions to Bias in the Consumer Price Index," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 23-44, Winter.
    6. Magdalena Szyszko & Karolina Tura, 2015. "Can Inflation Forecast And Monetary Policy Path Be Really Useful? The Case Of The Czech Republic," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(3), pages 9-26, September.
    7. William D. Nordhaus, 1998. "Quality Change in Price Indexes," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 59-68, Winter.
    8. Lloyd, P J, 1975. "Substitution Effects and Biases in Nontrue Price Indices," American Economic Review, American Economic Association, vol. 65(3), pages 301-313, June.
    9. 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.
    10. Alan G. White, 1999. "Measurement Biases in Consumer Price Indexes," International Statistical Review, International Statistical Institute, vol. 67(3), pages 301-325, December.
    11. Rob Pike & Catherine Marks & Darren Morgan, 2008. "Measuring UK inflation," Economic & Labour Market Review, Palgrave Macmillan;Office for National Statistics, vol. 2(9), pages 18-25, September.
    12. Jakub Janus, 2019. "Real interest rate differentials between Central and Eastern European countries and the euro area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(4), pages 677-693, December.
    13. Elzbieta Roszko-Wojtowicz & Maria M. Grzelak & Iwona Laskowska, 2019. "The impact of research and development activity on the TFP level in manufacturing in Poland," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 14(4), pages 711-737, December.
    14. Giancarlo Marini & Alessandro Piergallini & Pasquale Scaramozzino, 2007. "Inflation bias after the Euro: evidence from the UK and Italy," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 461-470.
    15. Robert A. Pollak, 1998. "The Consumer Price Index: A Research Agenda and Three Proposals," Journal of Economic Perspectives, American Economic Association, vol. 12(1), pages 69-78, Winter.
    16. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    17. Carl E. Walsh, 2009. "Inflation Targeting: What Have We Learned?," International Finance, Wiley Blackwell, vol. 12(2), pages 195-233, August.
    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. Agnieszka Leszczynska & Aleksandra Halka, 2012. "What does the Consumer Price Index Measure? Bias Estimates for Poland," EcoMod2012 4370, EcoMod.
    2. 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.
    3. Ingvild Almås & Timothy K.M. Beatty & Thomas F. Crossley, 2018. "Lost in Translation: What do Engel Curves Tell us about the Cost of Living?," CESifo Working Paper Series 6886, CESifo.
    4. 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.
    5. Tsuyoshi Sasaki, 2019. "Welfare evaluations and price indices with path dependency problems," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 52(1), pages 127-159, January.
    6. Rahel Braun & Sarah M. Lein, 2021. "Sources of Bias in Inflation Rates and Implications for Inflation Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1553-1572, September.
    7. Marshall Reinsdorf & Jack E. Triplett, 2009. "A Review of Reviews: Ninety Years of Professional Thinking About the Consumer Price Index," NBER Chapters, in: Price Index Concepts and Measurement, pages 17-83, National Bureau of Economic Research, Inc.
    8. 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.
    9. Andrew Dabalen & Isis Gaddis & Nga Thi Viet Nguyen, 2020. "CPI Bias and its Implications for Poverty Reduction in Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 13-44, March.
    10. Mark A. Wynne & Diego Rodriguez‐Palenzuela, 2004. "Measurement Bias in the HICP: What do we know and What do we need to know?," Journal of Economic Surveys, Wiley Blackwell, vol. 18(1), pages 79-112, February.
    11. Hyun Son & Nanak Kakwani, 2006. "Measuring the impact of prices on inequality: With applications to Thailand and Korea," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(2), pages 181-207, August.
    12. W. Erwin Diewert & Robert C. Feenstra, 2021. "Estimating the Benefits of New Products," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 437-473, National Bureau of Economic Research, Inc.
    13. 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.
    14. Diewert, W, Erwin & Feenstra, Robert, 2017. "Estimating the Benefits and Costs of New and Disappearing Products," Microeconomics.ca working papers tina_marandola-2017-12, Vancouver School of Economics, revised 19 Dec 2017.
    15. Timothy K.M. Beatty & Erling Røed Larsen, 2005. "Using Engel curves to estimate bias in the Canadian CPI as a cost of living index," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 38(2), pages 482-499, May.
    16. Jordi Maluquer de Motes i Bernet, 2007. ""La paradisíaca estabilidad de la anteguerra". Elaboración de un índice de precios de consumo de España, 1830-1936," UHE Working papers 2007_07, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
    17. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.
    18. Antonio Filippin & Luca Nunziata, 2019. "Monetary effects of inequality: lessons from the euro experiment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 99-124, June.
    19. Nicholas Outlon, 2019. "GDP is a measure of output, not welfare. Or, HOS meets the SNA," Discussion Papers 1906, Centre for Macroeconomics (CFM).
    20. Nicholas Oulton, 2021. "The effect of changes in the terms of trade on GDP and welfare: a Divisia approach to the SNA," Discussion Papers 2126, Centre for Macroeconomics (CFM).

    More about this item

    Keywords

    Consumer Price Index (CPI); Harmonised Index of Consumer Prices (HICP); Inflation; Price indices; Visegrad group;
    All these keywords.

    JEL classification:

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

    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:spr:qualqt:v:55:y:2021:i:1:d:10.1007_s11135-020-01021-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.