Identification in ascending auctions, with an application to digital rights management
Year of publication: |
2022
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Authors: | Freyberger, Joachim ; Larsen, Bradley J. |
Published in: |
Quantitative Economics. - ISSN 1759-7331. - Vol. 13.2022, 2, p. 505-543
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Publisher: |
New Haven, CT : The Econometric Society |
Subject: | Ascending auctions | nonparametric identification | unobserved het-erogeneity | unknown number of bidders | sieve maximum likelihood | digital rights | Digital Millennium Copyright Act | grey-market activity | smartphone unlocking |
Type of publication: | Article |
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Type of publication (narrower categories): | Article |
Language: | English |
Other identifiers: | 10.3982/QE1151 [DOI] 1818028794 [GVK] |
Classification: | C10 - Econometric and Statistical Methods: General. General ; D44 - Auctions ; K11 - Property Law ; k24 ; L10 - Market Structure, Firm Strategy, and Market Performance. General ; L96 - Telecommunications ; O34 - Intellectual Property Rights: National and International Issues |
Source: |
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Identification in ascending auctions, with an application to digital rights management
Freyberger, Joachim, (2022)
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Identification in ascending auctions, with an application to digital rights management
Freyberger, Joachim, (2020)
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Sidak, J. Gregory, (2012)
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Identification in Ascending Auctions, with an Application to Digital Rights Management
Freyberger, Joachim, (2017)
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Identification in ascending auctions, with an application to digital rights management
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How well does bargaining work in consumer markets? : a robust bounds approach
Freyberger, Joachim, (2021)
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