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Price rigidity in Europe and the US: A comparative analysis using scanner data

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  • B. VERHELST
  • D. VAN DEN POEL

Abstract

This paper uses scanner data from two large retailers to offer new insights into the extent of price rigidity in Europe and the US. Recent empirical research in this field has made extensive use of monthly data to study price stickiness and to control for the impact of temporary sales. We show that the use of monthly data is potentially highly misleading. We employ scanner data in (bi)weekly frequency and highlight the importance of high frequency data in studying price rigidity. Regular prices show roughly the same degree of flexibility in Europe and the US, in line with recent empirical research, when we study monthly price series derived from our high frequency scanner data. This finding collapses, however, when the original scanner datasets in higher base frequency are examined. Regular prices are then far more flexible in the US than in Europe. This result is robust to the type of sales filter that we apply and the statistic used to capture price rigidity.

Suggested Citation

  • B. Verhelst & D. Van Den Poel, 2010. "Price rigidity in Europe and the US: A comparative analysis using scanner data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/684, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:10/684
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    Cited by:

    1. Paolo Pasimeni, 2014. "An Optimum Currency Crisis," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 11(2), pages 173-204, December.
    2. Benjamin Verhelst & Dirk Van den Poel, 2014. "Deep habits in consumption: a spatial panel analysis using scanner data," Empirical Economics, Springer, vol. 47(3), pages 959-976, November.
    3. Bocionek, Milena & Anders, Sven M., 2012. "Estimating Price Rigidity in Vertically Differentiated Food Product Categories with Private Labels," Staff Paper Series 139931, University of Alberta, Department of Resource Economics and Environmental Sociology.
    4. B. Verhelst & D. Van Den Poel, 2012. "Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/776, Ghent University, Faculty of Economics and Business Administration.
    5. Luca Cacchiarelli & Alessandro Sorrentino, 2019. "Pricing Strategies in the Italian Retail Sector: The Case of Pasta," Social Sciences, MDPI, vol. 8(4), pages 1-13, April.

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    More about this item

    Keywords

    price setting; scanner data; frequency of price change; sales filtering;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco

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