An Experimental Study of Information Revelation Policies in Sequential Auctions
AbstractTheoretical models of information asymmetry have identified a trade-off between the desire to learn and the desire to prevent an opponent from learning private information. This paper reports a laboratory experiment that investigates if actual bidders account for this trade-off, using a sequential procurement auction with private cost information and varying information revelation policies. Specifically, the Complete Information Revelation Policy, where all submitted bids are revealed between auctions, is compared to the Incomplete Information Revelation Policy, where only the winning bid is revealed. The experimental results are largely consistent with the theoretical predictions. For example, bidders pool with other types to prevent an opponent from learning significantly more often under a Complete Information Revelation Policy. Also as predicted, the procurer pays less when employing an Incomplete Information Revelation Policy only when the market is highly competitive. Bids are usually more aggressive than the risk-neutral quantitative prediction, which is broadly consistent with risk aversion. This paper was accepted by Teck Ho, decision analysis.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 57 (2011)
Issue (Month): 4 (April)
complete and incomplete information revelation policies; laboratory study; procurement auction; multistage game;
Other versions of this item:
- Timothy N. Cason & Karthik N. Kannan & Ralph Siebert, 2010. "An Experimental Study of Information Revelation Policies in Sequential Auctions," Purdue University Economics Working Papers 1235, Purdue University, Department of Economics.
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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