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Problems in measuring price dispersion in e-commerce

Author

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  • Tomasz Galewski

    (Wroclaw University of Economics)

Abstract

Until recently, Internet was considered as technology that will make the trade in goods frictionless. Online retailers’ margins were to fall to zero and prices - according to theory of economics - were to equalize as a result of buyers comparing prices more easily (e.g. using shop bots). Empirical research performed so far has not proven these expectations right. Studies in many countries show that online prices vary significantly (sometimes price dispersion in the Internet is higher than that in traditional trade). The purpose of this article is to present a critical view on the methods of measuring price dispersion in e-commerce. Researchers of this area use different measures of price differentials, include shipping costs or not, use the proposed price or try to determine transaction prices, reject part of the data considered as outliers that may indicate a hidden heterogeneity of a product. Some scientists also try to justify price dispersion with the reputation of a vendor, and also additional features of the sellers such as the amount of information presented in the offer, convenience of shopping, user-friendly interface, etc. All these factors are problematic for the research due to lack of a clear (and proper) way of measuring the mentioned attributes. Most of the previous studies also ignored the pricing strategy of vendors, which is a very important factor for price dispersion – it may involve reduction in prices of several products in order to attract customers to the store to buy other products with a much higher margin.

Suggested Citation

  • Tomasz Galewski, 2015. "Problems in measuring price dispersion in e-commerce," Working Papers 50/2015, Institute of Economic Research, revised Apr 2015.
  • Handle: RePEc:pes:wpaper:2015:no50
    as

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    References listed on IDEAS

    as
    1. Karen Clay & Ramayya Krishnan & Eric Wolff, 2001. "Prices and Price Dispersion on the Web: Evidence from the Online Book Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(4), pages 521-539, December.
    2. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 305-324, November.
    3. Randy A. Nelson & Richard Cohen & Frederik Roy Rasmussen, 2007. "An Analysis of Pricing Strategy and Price Dispersion on the Internet," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 95-110, Winter.
    4. Xiaolin Xing, 2010. "Can price dispersion be persistent in the Internet markets?," Applied Economics, Taylor & Francis Journals, vol. 42(15), pages 1927-1940.
    5. repec:bla:jindec:v:49:y:2001:i:4:p:521-39 is not listed on IDEAS
    6. Ancarani, Fabio, 2002. "Pricing and the Internet:: Frictionless Commerce or Pricer's Paradise?," European Management Journal, Elsevier, vol. 20(6), pages 680-687, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    price dispersion; e-commerce; shopbots;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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