IDEAS home Printed from https://ideas.repec.org/p/esi/discus/2002-33.html
   My bibliography  Save this paper

The Timing of Bids in Internet Auctions: Market Design, Bidder Behavior, and Artificial Agents

Author

Listed:
  • Axel Ockenfels
  • Alvin E. Roth

Abstract

Many bidders in eBay employ bidding strategies that involve late bids, incremental bids, or both. Based on field evidence, we discuss the manner in which late bids are caused both by sophisticated, strategic reasoning and by irrationality and inexperience, the interaction of late bidding and incremental bidding, and the relation between market design and artificial agent design.

Suggested Citation

  • Axel Ockenfels & Alvin E. Roth, 2001. "The Timing of Bids in Internet Auctions: Market Design, Bidder Behavior, and Artificial Agents," Papers on Strategic Interaction 2002-33, Max Planck Institute of Economics, Strategic Interaction Group.
  • Handle: RePEc:esi:discus:2002-33
    as

    Download full text from publisher

    File URL: ftp://papers.econ.mpg.de/esi/discussionpapers/2002-33.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Dan Ariely & Axel Ockenfels & Alvin E. Roth, 2005. "An Experimental Analysis of Ending Rules in Internet Auctions," RAND Journal of Economics, The RAND Corporation, pages 890-907.
    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. Yu Zhang & Jingping Gu & Qi Li, 2011. "Nonparametric panel estimation of online auction price processes," Empirical Economics, Springer, vol. 40(1), pages 51-68, February.
    2. Bramsen, Jens-Martin, 2008. "Learning to bid, but not to quit – Experience and Internet auctions," MPRA Paper 14815, University Library of Munich, Germany.
    3. Carsten Schmidt & Jens Grossklags, 2004. "Interaction of Human and Artificial Agents on Double Auction Markets - Simulations and Laboratory Experiments," Papers on Strategic Interaction 2003-22, Max Planck Institute of Economics, Strategic Interaction Group.
    4. Dan Ariely & Axel Ockenfels & Alvin E. Roth, 2005. "An Experimental Analysis of Ending Rules in Internet Auctions," RAND Journal of Economics, The RAND Corporation, pages 890-907.
    5. Shu-Heng Chen & Chung-Ching Tai, 2006. "On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 51-69, August.
    6. 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.
    7. Jens Grossklags & Carsten Schmidt, 2002. "Artificial Software Agents on Thin Double Auction Markets - A Human Trader Experiment," Papers on Strategic Interaction 2002-45, Max Planck Institute of Economics, Strategic Interaction Group.
    8. Bramsen, Jens-Martin, 2008. "Bid early and get it cheap - Timing effects in Internet auctions," MPRA Paper 14811, University Library of Munich, Germany.
    9. Shu-Heng Chen & Chung-Ching Tai, 2006. "Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach," Computational Economics, Springer;Society for Computational Economics, vol. 28(4), pages 313-331, November.
    10. Axel Ockenfels, 2002. "New Institutional Structures on the Internet: The Economic Design of Online Auctions," Papers on Strategic Interaction 2002-08, Max Planck Institute of Economics, Strategic Interaction Group.

    More about this item

    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:esi:discus:2002-33. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karin Richter). General contact details of provider: http://edirc.repec.org/data/mpiewde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.