IDEAS home Printed from https://ideas.repec.org/p/bbk/bbkefp/1510.html
   My bibliography  Save this paper

Shills and Snipes

Author

Listed:
  • Subir Bose

    (University of Leicester)

  • Arup Daripa

    (Department of Economics, Mathematics & Statistics, Birkbeck)

Abstract

Online auctions with a fixed end-time often experience a sharp increase in bidding towards the end despite using a proxy-bidding format. We provide a novel explanation of this phenomenon under private values. We study a correlated private values environment in which the seller bids in her own auction (shill bidding). Bidders selected randomly from some large set arrive randomly in an auction, then decide when to bid (possibly multiple times) over a continuous time interval. A submitted bid arrives over a continuous time interval according to some stochastic distribution. The auction is a continuous-time game where the set of players is not commonly known, a natural setting for online auctions. We show that there is a late-bidding equilibrium in which bids are delayed to the latest instance involving no sacrifice of probability of bid arrival, but shill bids fail to arrive with positive probability, and in this sense optimal late bidding serves to snipe the shill bids. We show conditions under which the equilibrium outcome is unique. Our results suggest that under private values, the case against shill-bidding might be weak.

Suggested Citation

  • Subir Bose & Arup Daripa, 2015. "Shills and Snipes," Birkbeck Working Papers in Economics and Finance 1510, Birkbeck, Department of Economics, Mathematics & Statistics.
    • Handle: RePEc:bbk:bbkefp:1510
    as

    Download full text from publisher

    File URL: https://eprints.bbk.ac.uk/id/eprint/15269
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lamy, Laurent, 2009. "The Shill Bidding Effect versus the Linkage Principle," Journal of Economic Theory, Elsevier, vol. 144(1), pages 390-413, January.
    2. Indranil Chakraborty & Georgia Kosmopoulou, 2004. "Auctions with shill bidding," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 24(2), pages 271-287, August.
    3. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    4. Engelberg, Joseph & Williams, Jared, 2009. "eBay's proxy bidding: A license to shill," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 509-526, October.
    5. Ladislav Wintr, 2008. "Some Evidence On Late Bidding In Ebay Auctions," Economic Inquiry, Western Economic Association International, vol. 46(3), pages 369-379, July.
    6. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    7. Ockenfels, Axel & Roth, Alvin E., 2006. "Late and multiple bidding in second price Internet auctions: Theory and evidence concerning different rules for ending an auction," Games and Economic Behavior, Elsevier, vol. 55(2), pages 297-320, May.
    8. Kosmopoulou, Georgia & De Silva, Dakshina G., 2007. "The effect of shill bidding upon prices: Experimental evidence," International Journal of Industrial Organization, Elsevier, vol. 25(2), pages 291-313, April.
    9. Rasmusen Eric Bennett, 2006. "Strategic Implications of Uncertainty over One's Own Private Value in Auctions," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 6(1), pages 1-24, November.
    10. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    11. Graham, Daniel A. & Marshall, Robert C. & Richard, Jean-Francois, 1990. "Phantom bidding against heterogeneous bidders," Economics Letters, Elsevier, vol. 32(1), pages 13-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. McCannon, Bryan C. & Minuci, Eduardo, 2020. "Shill bidding and trust," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    2. 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.
    3. Barbaro, Salvatore & Bracht, Bernd, 2021. "Shilling, Squeezing, Sniping. A further explanation for late bidding in online second-price auctions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    4. Zakonnik Łukasz & Czerwonka Piotr & Zajdel Radosław, 2022. "Online Auctions End Time and its Impact on Sales Success – Analysis of the Odds Ratio on a Selected Central European Market," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 246-264, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Axel Ockenfels & David Reiley & Abdolkarim Sadrieh, 2006. "Online Auctions," NBER Working Papers 12785, National Bureau of Economic Research, Inc.
    2. Barbaro, Salvatore & Bracht, Bernd, 2021. "Shilling, Squeezing, Sniping. A further explanation for late bidding in online second-price auctions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    3. 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.
    4. Kevin Hasker & Robin Sickles, 2010. "eBay in the Economic Literature: Analysis of an Auction Marketplace," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 37(1), pages 3-42, August.
    5. 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.
    6. Sascha Füllbrunn, 2009. "A comparison of Candle Auctions and Hard Close Auctions with Common Values," FEMM Working Papers 09019, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    7. McCannon, Bryan C. & Minuci, Eduardo, 2020. "Shill bidding and trust," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    8. 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.
    9. Ingebretsen Carlson, Jim & Wu, Tingting, 2018. "Shill Bidding and Information in Sequential Auctions: A Laboratory Study," Working Papers 2018:18, Lund University, Department of Economics.
    10. Patrick Bajari & Ali Hortaçsu, 2004. "Economic Insights from Internet Auctions," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 457-486, June.
    11. Cotton, Christopher, 2009. "Multiple bidding in auctions as bidders become confident of their private valuations," Economics Letters, Elsevier, vol. 104(3), pages 148-150, September.
    12. Chen, Kong-Pin & Lai, Hung-pin & Yu, Ya-Ting, 2018. "The seller's listing strategy in online auctions: Evidence from eBay," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 107-144.
    13. Grebe, Tim & Ivanova-Stenzel, Radosveta & Kröger, Sabine, 2021. "How do sellers benefit from Buy-It-Now prices in eBay auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 189-205.
    14. Stylianos Despotakis & Isa Hafalir & R. Ravi & Amin Sayedi, 2017. "Expertise in Online Markets," Management Science, INFORMS, vol. 63(11), pages 3895-3910, November.
    15. Nicola Dimitri, 2007. "Last minute bidding equilibrium in second price internet auctions," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 001, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
    16. Ian Ayres & Mahzarin Banaji & Christine Jolls, 2015. "Race effects on eBay," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 891-917, October.
    17. Nicola Dimitri, 2022. "Last minute only bidding is implausible in eBay sealed bid type-of-auctions," Electronic Commerce Research, Springer, vol. 22(2), pages 225-239, June.
    18. Kenneth Hendricks & Ilke Onur & Thomas Wiseman, 2012. "Last-Minute Bidding in Sequential Auctions with Unobserved, Stochastic Entry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(1), pages 1-19, February.
    19. Jeffrey C. Ely & Tanjim Hossain, 2009. "Sniping and Squatting in Auction Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 68-94, August.
    20. Wen Cao & Qinyang Sha & Zhiyong Yao & Dingwei Gu & Xiang Shao, 2019. "Sniping in soft-close online auctions: empirical evidence from overstock," Marketing Letters, Springer, vol. 30(2), pages 179-191, June.

    More about this item

    Keywords

    Online auctions; correlated private values; last-minute bidding; sniping; shill bidding; random bidder arrival; continuous bid time; continuous bid arrival process.;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bbk:bbkefp:1510. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://www.bbk.ac.uk/departments/ems/ .

    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.