IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-00754404.html

The Shill Bidding Effect versus the Linkage Principle

Author

Listed:
  • Laurent Lamy

    (PJSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

The analysis of second price auctions with externalities is utterly modified if the seller is unable to commit not to participate in the mechanism. For the General Symmetric Model introduced by Milgrom and Weber [P. Milgrom, R. Weber, A theory of auctions and competitive bidding, Econometrica 50 (1982) 1089-1122] we characterize the full set of separating equilibria that are symmetric among buyers and with a strategic seller being able to bid in the same way as any buyer through a so-called shill bidding activity. The revenue ranking between first and second price auctions is different from the one arising in Milgrom and Weber: the benefits from the highlighted 'Linkage Principle' are counterbalanced by the 'Shill Bidding Effect.'

Suggested Citation

  • Laurent Lamy, 2009. "The Shill Bidding Effect versus the Linkage Principle," PSE-Ecole d'économie de Paris (Postprint) halshs-00754404, HAL.
    • Handle: RePEc:hal:pseptp:halshs-00754404
    DOI: 10.1016/j.jet.2008.06.001
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laurent Lamy, 2013. "“Upping the ante”: how to design efficient auctions with entry?," RAND Journal of Economics, RAND Corporation, vol. 44(2), pages 194-214, June.
    2. Bose, Subir & Daripa, Arup, 2017. "Shills and snipes," Games and Economic Behavior, Elsevier, vol. 104(C), pages 507-516.
    3. Lamy, Laurent, 2012. "The econometrics of auctions with asymmetric anonymous bidders," Journal of Econometrics, Elsevier, vol. 167(1), pages 113-132.
    4. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    5. Mohammad Akbarpour & Shengwu Li, 2020. "Credible Auctions: A Trilemma," Econometrica, Econometric Society, vol. 88(2), pages 425-467, March.
    6. Philippe Jehiel & Laurent Lamy, 2011. "Absolute auctions and secret reserve prices: Why are they used?," Levine's Working Paper Archive 786969000000000316, David K. Levine.
    7. Philippe Jehiel & Laurent Lamy, 2015. "On absolute auctions and secret reserve prices," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 241-270, June.
    8. McCannon, Bryan C. & Minuci, Eduardo, 2020. "Shill bidding and trust," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    9. Andrew Komo & Scott Duke Kominers & Tim Roughgarden, 2024. "Shill-Proof Auctions," Papers 2404.00475, arXiv.org, revised Dec 2025.
    10. Onur A. Koska & Ilke Onur & Frank Stähler, 2017. "The Economics of Vendor Bids," ERC Working Papers 1711, ERC - Economic Research Center, Middle East Technical University, revised Oct 2017.
    11. Nikitkov, Alexey & Bay, Darlene, 2015. "Shill bidding: Empirical evidence of its effectiveness and likelihood of detection in online auction systems," International Journal of Accounting Information Systems, Elsevier, vol. 16(C), pages 42-54.
    12. Ingebretsen Carlson, Jim & Wu, Tingting, 2022. "Shill bidding and information in eBay auctions: A Laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 341-360.
    13. Yangwei Song, 2025. "Robust auctions with affiliated private values," Review of Economic Design, Springer;Society for Economic Design, vol. 29(2), pages 245-279, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:pseptp:halshs-00754404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.