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A Laboratory Comparison of Auctions and Sequential Mechanisms


Andrew M. Davis


Cornell University

Elena Katok


University of Texas at Dallas

Anthony M. Kwasnica


Pennsylvania State University - Department of Supply Chain & Information Systems

May 30, 2012

Johnson School Research Paper Series No. 35-2011

Abstract:     
When bidders incur a cost to learn their valuations, bidder entry can impact auction performance. Two common selling mechanisms in this environment are an English auction, and a sequential bidding process. Bulow and Klemperer (2009) show, theoretically, that sellers should prefer the auction, because it generates higher expected revenues, while bidders should prefer the sequential mechanism, because it generates higher expected bidder profits. We compare the two mechanisms in a controlled laboratory environment, varying the entry cost, and find that, contrary to the theoretical predictions, average seller revenues tend to be higher under the sequential mechanism, while average bidder profits are approximately the same. We identify three systematic behavioral deviations from the theoretical model: (1) in the auction, bidders do not enter 100% of the time, (2) in the sequential mechanism, bidders do not set pre-emptive bids according to the predicted threshold strategy, and (3) subsequent bidders tend to over-enter in response to pre-emptive bids by first bidders. We develop a model of noisy bidder entry costs that is consistent with these behaviors, and show that our model organizes the experimental data well.

Number of Pages in PDF File: 35

Keywords: : Auctions, Experimental Economics, Behavioral Mechanism Design

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Date posted: August 25, 2011 ; Last revised: June 1, 2012

Suggested Citation

Davis, Andrew M., Katok, Elena and Kwasnica, Anthony M., A Laboratory Comparison of Auctions and Sequential Mechanisms (May 30, 2012). Johnson School Research Paper Series No. 35-2011. Available at SSRN: http://ssrn.com/abstract=1916312 or http://dx.doi.org/10.2139/ssrn.1916312

Contact Information

Andrew M. Davis
Cornell University ( email )
Ithaca, NY 14853
United States

Elena Katok (Contact Author)
University of Texas at Dallas ( email )
Jindal School of Management
800 W. Campbell Dr.
Richardson, TX 75080
United States
HOME PAGE: http://www.utdallas.edu/~ekatok/
Anthony M. Kwasnica
Pennsylvania State University - Department of Supply Chain & Information Systems ( email )
Dept. of Supply Chain & Information Systems
University Park, PA 16802-3306
United States
Feedback to SSRN (Beta)


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