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The bidder exclusion effect

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  • Dominic Coey
  • Bradley Larsen
  • Kane Sweeney

Abstract

We introduce a new, simple‐to‐compute test of independence of valuations and the number of bidders for ascending button auctions with symmetric, conditionally independent private values. The test involves estimating the expected revenue drop from excluding a bidder at random, which can be computed as a scaled sample average of a difference of order statistics. This object also provides a bound on counterfactual revenue changes from optimal reserve pricing or bidder mergers. We illustrate the approach using data from timber auctions, where we find some evidence that bidder valuations and the number of participants are not independent.

Suggested Citation

  • Dominic Coey & Bradley Larsen & Kane Sweeney, 2019. "The bidder exclusion effect," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 93-120, March.
    • Handle: RePEc:bla:randje:v:50:y:2019:i:1:p:93-120
    DOI: 10.1111/1756-2171.12263
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    2. Guillermo Marshall, 2024. "Identification in english auctions with shill bidding," Quantitative Marketing and Economics (QME), Springer, vol. 22(2), pages 193-222, June.
    3. Dominic Coey & Bradley J. Larsen & Kane Sweeney & Caio Waisman, 2021. "Scalable Optimal Online Auctions," Marketing Science, INFORMS, vol. 40(4), pages 593-618, July.
    4. Jayeeta Bhattacharya & Nathalie Gimenes & Emmanuel Guerre, 2019. "Semiparametric Quantile Models for Ascending Auctions with Asymmetric Bidders," Papers 1911.13063, arXiv.org, revised Sep 2020.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Cerrone, Claudia & Hermstrüwer, Yoan & Robalo, Pedro, 2021. "Debarment and collusion in procurement auctions," Games and Economic Behavior, Elsevier, vol. 129(C), pages 114-143.
    11. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.
    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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