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来源类型Working Paper
规范类型报告
DOI10.3386/w20830
来源IDWorking Paper 20830
The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment
Chris Nosko; Steven Tadelis
发表日期2015-01-12
出版年2015
语种英语
摘要We argue that reputation mechanisms used by platform markets suffer from two problems. First, buyers may draw conclusions about the quality of the platform from single transactions, causing a reputational externality across sellers. Second, for a variety of reasons we discuss, reputations will be biased. We document these problems using eBay data and claim that platforms can benefit from identifying and promoting higher quality sellers. We create an unobservable measure of seller quality and demonstrate the benefits of our approach through a controlled experiment that prioritizes better quality sellers. We highlight the importance of reputational externalities and chart an agenda that aims to create more realistic models of platform markets.
主题Microeconomics ; Market Structure and Distribution ; Economics of Information ; Industrial Organization ; Market Structure and Firm Performance ; Firm Behavior ; Industry Studies
URLhttps://www.nber.org/papers/w20830
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/578504
推荐引用方式
GB/T 7714
Chris Nosko,Steven Tadelis. The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment. 2015.
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