Assessing Sale Strategies in Online Markets Using Matched Listings
Assessing Sale Strategies in Online Markets Using Matched Listings
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DOI：
10.1257/mic.20130046
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发表时间：
2015-04
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影响因子：
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通讯作者：
L. Einav;Theresa Kuchler;Jonathan Levin;Neel Sundaresan
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文献类型：
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作者：
L. Einav;Theresa Kuchler;Jonathan Levin;Neel Sundaresan
我们使用来自eBay的数据来识别数十万个实例，其中零售商发布了相同的产品列表，其定价和拍卖设计方面有针对性差异。我们使用这些匹配的列表来衡量同一卖家出售的相同商品的拍卖价格分散，以估算非参数拍卖需求曲线，分析现在购买的效果，并评估消费者对运输费的敏感性。数据的规模使我们能够证明估计值对匹配列表的较窄标准具有牢固的范围，从而解决了对内生性和选择偏见的合理问题。 （Jel D44，L11，L81）
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)