Multidimensional private value auctions
Abstract
We consider parametric examples of two-bidder private value auctions in which each bidder observes her own private valuation as well as noisy signals about her opponentÃs private valuation. In such multidimensional private value auction environments, we show that the revenue equivalence between the first and second price auctions breaks down and there is no definite revenue ranking; while the second price auction is always efficient allocatively, the first price auction may be inefficient and the inefficiency may increase as the signal becomes more informative; equilibria may fail to exist for the first price auction. We also show that auction mechanisms provide different incentives for bidders to acquire costly information about opponents' valuation.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Economic Theory.
Volume (Year): 126 (2006)
Issue (Month): 1 (January)
Pages: 1-30
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Web page: http://www.elsevier.com/locate/inca/622869
Related research
Keywords:Other versions of this item:
- Stephen Morris & Hanming Fang, 2004. "Multidimensional Private Value Auctions," Yale School of Management Working Papers ysm387, Yale School of Management.
- Stephen Morris & Hanming Fang, 2004. "Multidimensional Private Value Auctions," Econometric Society 2004 North American Winter Meetings 174, Econometric Society.
- Hanming Fang & Stephen Morris, 2003. "Multidimensional Private Value Auctions," Cowles Foundation Discussion Papers 1423, Cowles Foundation for Research in Economics, Yale University.
- Hanming Fang, 2004. "Multidimensional Private Value Auctions," Theory workshop papers 121473000000000021, UCLA Department of Economics.
- C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
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