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Assessing Sale Strategies in Online Markets Using Matched Listings

Author

Listed:
  • Liran Einav
  • Theresa Kuchler
  • Jonathan Levin
  • Neel Sundaresan

Abstract

We use data from eBay to identify hundreds of thousands of instances in which retailers posted otherwise identical product listings with targeted variation in pricing and auction design. We use these matched listings to measure the dispersion in auction prices for identical goods sold by the same seller, to estimate nonparametric auction demand curves, to analyze the effect of buy it now options, and to assess consumer sensitivity to shipping fees. The scale of the data allows us to show that the estimates are robust to narrower criteria for matching listings, thereby addressing plausible concerns about endogeneity and selection biases. (JEL D44, L11, L81)

Suggested Citation

  • Liran Einav & Theresa Kuchler & Jonathan Levin & Neel Sundaresan, 2015. "Assessing Sale Strategies in Online Markets Using Matched Listings," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 215-247, May.
    • Handle: RePEc:aea:aejmic:v:7:y:2015:i:2:p:215-47
    Note: DOI: 10.1257/mic.20130046
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce

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