This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Resolving Uncertainty about the Number of Bidders in Independent Private-Value Auctions: An Experimental Analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Douglas Dyer
John H. Kagel
Dan Levin

Additional information is available for the following registered author(s):

Abstract

Results from first-price, sealed-bid auctions, in which there is uncertainty regarding the number of bidders, are reported. Consistent with recent theoretical findings, concealing information regarding the number of bidders raises more revenue for the seller than revealing information. Individual bids show that (1) narrowly interpreted, the Nash equilibrium bidding theory underlying these theoretical predictions is rejected, as less than 50% of all bids satisfy the strict inequality requirements of the theory, but (2) a majority of the deviations from these inequality requirements favor the revenue-raising predictions of the Nash model, and, in a large number of cases, involve marginal violations of the theory.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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: http://links.jstor.org/sici?sici=0741-6261%28198922%2920%3A2%3C268%3ARUATNO%3E2.0.CO%3B2-R&origin=repec
File Format: application/pdf
File Function: full text
Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

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.

Publisher Info
Article provided by The RAND Corporation in its journal RAND Journal of Economics.

Volume (Year): 20 (1989)
Issue (Month): 2 (Summer)
Pages: 268-279
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:rje:randje:v:20:y:1989:i:summer:p:268-279

Contact details of provider:
Web page: http://www.rje.org

Order Information:
Web: http://gemini.econ.umd.edu/cgi-bin/rje_online.cgi

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, 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.)
  1. Vleugels, Jan, 1997. "Bidding against an unknown number of competitiors sharing affiliated information," Sonderforschungsbereich 504 Publications 97-13, Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim. [Downloadable!]
  2. Elmar WOLFSTETTER, . "Auctions-An Introduction," Sonderforschungsbereich 373 1994-13, Humboldt Universitaet Berlin.
    Other versions:
  3. James Andreoni & Yeon-Koo Che & Jinwoo Kim, 2005. "Asymmetric Information about Rivals’ Types in Standard Auctions: An Experiment," Levine's Bibliography 666156000000000474, UCLA Department of Economics. [Downloadable!]
    Other versions:
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by encouraging others to register as authors.

This page was last updated on 2009-11-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.