IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

An empirical investigation of late bidding in online auctions

  • Ben Rhouma, Tarek
  • Zaccour, Georges

Why do some participants in online auctions place their bids right before the time of closing? Using e-Bay data, we propose count-data models to look at both the presence of the late-bidding phenomenon and its intensity. Our results reveal significant differences between extremely late-bidders (snipers) and moderately late-bidders.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 117 (2012)
Issue (Month): 3 ()
Pages: 715-717

in new window

Handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:715-717
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Ladislav Wintr, 2008. "Some evidence on late bidding in eBay auctions," Working Paper Research 126, National Bank of Belgium.
  2. Roth, Alvin & Ockenfels, Axel & Ariely, Dan, 2005. "An Experimental Analysis of Ending Rules in Internet Auctions," Scholarly Articles 2579649, Harvard University Department of Economics.
  3. 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.
  4. Alvin E. Roth & Axel Ockenfels, . "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," Papers on Strategic Interaction 2002-32, Max Planck Institute of Economics, Strategic Interaction Group.
  5. 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.
  6. Elfenbein, Daniel W. & McManus, Brian, 2010. "Last-minute bidding in eBay charity auctions," Economics Letters, Elsevier, vol. 107(1), pages 42-45, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:117:y:2012:i:3:p:715-717. 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: (Zhang, Lei)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.