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Individuals and Teams in Auctions


Matthias Sutter


University of Innsbruck; University of Gothenburg - Department of Economics; Institute for the Study of Labor (IZA)

Martin G. Kocher


Ludwig-Maximilians-Universität Munich - Faculty of Economics; Göteborg University - School of Business, Economics and Law

Sabine Strauß


University of Munich

April 2009

Oxford Economic Papers, Vol. 61, No. 2, pp. 380-394, 2009

Abstract:     
Experimental studies on bidding in auctions have so far relied on individual bidders, even though teams are often involved in real auctions. We examine the bidding behaviour of individuals and teams. Our experimental results show that teams stay longer in an (ascending sealed-bid English) auction and pay significantly higher prices than individuals. Consequently, teams make smaller profits and suffer more often from the winner's curse. The auction's efficiency is nevertheless higher with teams, since bidders with the highest valuation are more likely to win the auction when teams bid. We relate our findings to the European UMTS-spectrum auctions.

JEL Classification: C91, C92, D44

Accepted Paper Series


Date posted: March 27, 2009  

Suggested Citation

Sutter, Matthias, Kocher, Martin G. and Strauß, Sabine, Individuals and Teams in Auctions (April 2009). Oxford Economic Papers, Vol. 61, Issue 2, pp. 380-394, 2009. Available at SSRN: http://ssrn.com/abstract=1369072 or http://dx.doi.org/gpn037

Contact Information

Matthias Sutter (Contact Author)
University of Innsbruck ( email )
Universitaetsstr. 15/4
A-6020, Innsbruck
Austria
University of Gothenburg - Department of Economics ( email )
Box 640
Göteborg, 40530
Sweden
Institute for the Study of Labor (IZA)
P.O. Box 7240
Bonn, D-53072
Germany
Martin G. Kocher
Ludwig Maximilians University of Munich - Faculty of Economics ( email )
Ludwigstrasse 28
Munich, D-80539
Germany
Göteborg University - School of Business, Economics and Law ( email )
Vasagatan 1
Goteborg, 40530
Sweden
Sabine Strauss
University of Munich ( email )
Poschingerstr. 5
Munich, DE-81679
Germany
Feedback to SSRN (Beta)


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