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Revenue comparisons for auctions when bidders have arbitrary types

Yeon-Koo Che () and Ian Gale ()
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Ian Gale: Georgetown University - Department of Economics

No 0506-03, Discussion Papers from Columbia University, Department of Economics

Abstract: This paper develops a methodology for characterizing expected revenue from auctions when bidders' types come from an arbitrary distribution. In particular, types may be multidimensional, and there may be mass points in the distribution. One application extends existing revenue equivalence results. Another application shows that first-price auctions yield higher expected revenue than second-price auctions when bidders are risk averse and face financial constraints. This revenue ranking extends to risk-averse bidders with general forms of non-expected utility preferences.

Date: 2005
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http://www.econ.columbia.edu/RePEc/pdf/DP0506-03.pdf (application/pdf)

Related works:
Working Paper: Revenue Comparisons for Auctions When Bidders Have Arbitrary Types (2006) Downloads
Working Paper: Revenue Comparisons for Auctions when Bidders Have Arbitrary Types (2005) Downloads
Journal Article: Revenue comparisons for auctions when bidders have arbitrary types (2006) Downloads
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