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The Determinants Of Online Merchant’s Price Premium: Evidence From Russia

Author

Listed:
  • Evgeny A. Antipov

    (National Research University Higher School of Economics)

Abstract

Some Internet stores manage to charge prices that are significantly higher than market averages, therefore, obtaining some sort of price premium. This paper is dedicated to building a model that can be used to explain and predict a typical price premium that an Internet store charges for a specific product based on the information about the characteristics of the store and the features of the market for this product. Such models can provide support for pricing and assortment decisions: in particular, they allow detecting products that a store is likely to sell with the highest or the lowest markup based on price premia that are charged by stores with similar characteristics on similar markets

Suggested Citation

  • Evgeny A. Antipov, 2014. "The Determinants Of Online Merchant’s Price Premium: Evidence From Russia," HSE Working papers WP BRP 19/MAN/2014, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:19man2014
    as

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    File URL: http://www.hse.ru/data/2014/03/24/1318168807/19MAN2014.pdf
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    References listed on IDEAS

    as
    1. Varian, Hal R, 1981. "A Model of Sales: Errata," American Economic Review, American Economic Association, vol. 71(3), pages 517-517, June.
    2. Eric K. Clemons & Il-Horn Hann & Lorin M. Hitt, 2002. "Price Dispersion and Differentiation in Online Travel: An Empirical Investigation," Management Science, INFORMS, vol. 48(4), pages 534-549, April.
    3. Kern, H., 2010. "From the Soviet Bloc to the European Union. The Economic and Social Transformation of Central and Eastern Europe since 1973, Ivan T. Berend, Cambridge University Press, Cambridge, MA, USA, 2009, 299 pp., ISBN 978-0-521-72950-5, paperback - Impact of ," European Review, Cambridge University Press, vol. 18(2), pages 273-275, May.
    4. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.
    Full references (including those not matched with items on IDEAS)

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    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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