Assessing Sale Strategies in Online Markets Using Matched Listings
利用eBay上大量匹配的产品列表数据，研究同一卖家对相同商品采用不同定价和拍卖设计时的价格差异、需求曲线、立即购买选项的影响以及消费者对运费的敏感度。
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.