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Replication data for: Assessing Sale Strategies in Online Markets Using Matched Listings

Version
V0
Resource Type
Dataset
Creator
  • Einav, Liran
  • Kuchler, Theresa
  • Levin, Jonathan
  • Sundaresan, Neel
Publication Date
2015-04-01
Description
  • 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)
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/mic.20130046 (Text)
Publications
  • Einav, Liran, Theresa Kuchler, Jonathan Levin, and Neel Sundaresan. “Assessing Sale Strategies in Online Markets Using Matched Listings.” American Economic Journal: Microeconomics 7, no. 2 (May 2015): 215–47. https://doi.org/10.1257/mic.20130046.
    • ID: 10.1257/mic.20130046 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-13

Einav, Liran; Kuchler, Theresa; Levin, Jonathan; Sundaresan, Neel (2015): Replication data for: Assessing Sale Strategies in Online Markets Using Matched Listings. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E114321