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Price Dispersion in the Online Auction Markets

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  • Sha Luo

Abstract

Along the standard measures of price dispersion, this paper proposes a new method, the residual variance model, to examine the levels of price and price variation within and across 10 kinds of physically identical products on eBay UK. The results find that the price levels and price dispersions on eBay are lower than the ones reported in the prior literature regarding other online markets, but the ’law of one price’ has not prevailed in any sample category. It further suggests an important interaction between the extent of price dispersion and the heterogeneities of consumers and sellers.

Suggested Citation

  • Sha Luo, 2009. "Price Dispersion in the Online Auction Markets," EERI Research Paper Series EERI_RP_2009_07, Economics and Econometrics Research Institute (EERI), Brussels.
  • Handle: RePEc:eei:rpaper:eeri_rp_2009_07
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    File URL: http://www.eeri.eu/documents/wp/EERI_RP_2009_07.pdf
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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. Stigler, George J., 2011. "Economics of Information," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 35-49.
    3. Salop, S & Stiglitz, J E, 1982. "The Theory of Sales: A Simple Model of Equilibrium Price Dispersion with Identical Agents," American Economic Review, American Economic Association, vol. 72(5), pages 1121-1130, December.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Stanley Reynolds & John Wooders, 2009. "Auctions with a buy price," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 38(1), pages 9-39, January.
    6. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    7. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    8. repec:bla:jindec:v:49:y:2001:i:4:p:521-39 is not listed on IDEAS
    9. Michael R. Baye & John Morgan, 2004. "Price Dispersion in the Lab and on the Internet: Theory and Evidence," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 448-466, Autumn.
    10. Michael R. Baye & John Morgan, 2001. "Information Gatekeepers on the Internet and the Competitiveness of Homogeneous Product Markets," American Economic Review, American Economic Association, vol. 91(3), pages 454-474, June.
    11. Anderson, Steven & Friedman, Daniel & Milam, Garrett & Singh, Nirvikar, 2007. "Seller strategies on eBay: Does size matter?," MPRA Paper 4324, University Library of Munich, Germany.
    12. Hidvegi, Zoltan & Wang, Wenli & Whinston, Andrew B., 2006. "Buy-price English auction," Journal of Economic Theory, Elsevier, vol. 129(1), pages 31-56, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Price Dispersion; Online Auction Markets.;

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D49 - Microeconomics - - Market Structure, Pricing, and Design - - - Other

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