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来源类型Working Paper
规范类型报告
DOI10.3386/w23569
来源IDWorking Paper 23569
Identification in Ascending Auctions, with an Application to Digital Rights Management
Joachim Freyberger; Bradley J. Larsen
发表日期2017-07-17
出版年2017
语种英语
摘要This study provides new identification and estimation results for ascending (traditional English or online) auctions with unobserved auction-level heterogeneity and an unknown number of bidders. When the seller's reserve price and two order statistics of bids are observed, we derive conditions under which the distributions of buyer valuations, unobserved heterogeneity, and number of participants are point identified. We also derive conditions for point identification in cases where reserve prices are binding (in which case bids may be unobserved in some auctions) and present general conditions for partial identification. We propose a nonparametric maximum likelihood approach for estimation and inference. We apply our approach to the online market for used iPhones and analyze the effects of recent regulatory changes banning consumers from circumventing digital rights management technologies used to lock phones to service providers. We find that buyer valuations for unlocked phones dropped after the unlocking ban took effect.
主题Econometrics ; Estimation Methods ; Microeconomics ; Market Structure and Distribution ; Industrial Organization ; Industry Studies ; Development and Growth ; Innovation and R& ; D
URLhttps://www.nber.org/papers/w23569
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/581243
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Joachim Freyberger,Bradley J. Larsen. Identification in Ascending Auctions, with an Application to Digital Rights Management. 2017.
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