Assessing Sale Strategies in Online Markets Using Matched Listings

• 成果类型: Article
• 署名作者: Einav, Liran; Kuchler, Theresa; Levin, Jonathan; Sundaresan, Neel
• 署名单位: Stanford University; National Bureau of Economic Research; New York University; eBay Inc.
• 刊物名称: AMERICAN ECONOMIC JOURNAL-MICROECONOMICS
• ISSN/ISSBN: 1945-7669
• DOI: 10.1257/mic.20130046
• 发表日期: 2015
• 页码: 215-247
• 关键词: Field experiments; reserve prices; buy; insights; auctions; IMPACT; entry; ebay

摘要

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.