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The Bidder Exclusion Effect

Author

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  • Dominic Coey
  • Bradley Larsen
  • Kane Sweeney
Abstract
We introduce a simple and robust approach to answering two key questions in empirical auction analysis: discriminating between models of entry and quantifying the revenue gains from improving auction design. The approach builds on Bulow and Klemperer (1996), connecting their theoretical results to empirical work. It applies in a broad range of information settings and auction formats without requiring instruments or estimation of a complex structural model. We demonstrate the approach using US timber and used-car auction data.

Suggested Citation

  • Dominic Coey & Bradley Larsen & Kane Sweeney, 2014. "The Bidder Exclusion Effect," NBER Working Papers 20523, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20523
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    Cited by:

    1. Brice Corgnet & Cary Deck & Mark DeSantis & Kyle Hampton & Erik O. Kimbrough, 2023. "When Do Security Markets Aggregate Dispersed Information?," Management Science, INFORMS, vol. 69(6), pages 3697-3729, June.
    2. Joachim Freyberger & Bradley J. Larsen, 2022. "Identification in ascending auctions, with an application to digital rights management," Quantitative Economics, Econometric Society, vol. 13(2), pages 505-543, May.
    3. Jayeeta Bhattacharya & Nathalie Gimenes & Emmanuel Guerre, 2019. "Semiparametric Quantile Models for Ascending Auctions with Asymmetric Bidders," Papers 1911.13063, arXiv.org, revised Sep 2020.
    4. Nicola Lacetera & Bradley J. Larsen & Devin G. Pope & Justin R. Sydnor, 2016. "Bid Takers or Market Makers? The Effect of Auctioneers on Auction Outcome," American Economic Journal: Microeconomics, American Economic Association, vol. 8(4), pages 195-229, November.
    5. Cerrone, Claudia & Hermstrüwer, Yoan & Robalo, Pedro, 2021. "Debarment and collusion in procurement auctions," Games and Economic Behavior, Elsevier, vol. 129(C), pages 114-143.
    6. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    7. Kaplan, Uma & Marmer, Vadim & Shneyerov, Artyom, 2016. "Identifying Collusion in English Auctions," Microeconomics.ca working papers vadim_marmer-2016-3, Vancouver School of Economics, revised 08 Jul 2017.
    8. Ulrich Doraszelski & Katja Seim & Michael Sinkinson & Peichun Wang, 2017. "Ownership Concentration and Strategic Supply Reduction," NBER Working Papers 23034, National Bureau of Economic Research, Inc.
    9. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    10. Doraszelski, Ulrich & , & Sinkinson, Michael & Wang, Peichun, 2016. "Ownership Concentration and Strategic Supply Reduction," CEPR Discussion Papers 11173, C.E.P.R. Discussion Papers.
    11. Guillermo Marshall, 2024. "Identification in english auctions with shill bidding," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 193-222, June.
    12. Agastya, Murali & Feng, Xin & Lu, Jingfeng, 2023. "Auction design with shortlisting when value discovery is covert," Journal of Mathematical Economics, Elsevier, vol. 107(C).

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    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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