1996
DOI: 10.1007/s001990050092
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The all-pay auction with complete information

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Cited by 318 publications
(372 citation statements)
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“…The environments we considered are similar to an all-pay-auction (a thorough analysis can be found in Baye, Kovenock and Vries [1996]); the di®erence being that our time-dependent reward would be the equivalent of a bid-dependent value (rather than a commonly assumed constant value). Comparing our symmetric case to the symmetric all-pay auction, the choice of t min corresponds to bidding one's valuation in the all-pay auction.…”
Section: Relationship To All-pay Auctionsmentioning
confidence: 99%
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“…The environments we considered are similar to an all-pay-auction (a thorough analysis can be found in Baye, Kovenock and Vries [1996]); the di®erence being that our time-dependent reward would be the equivalent of a bid-dependent value (rather than a commonly assumed constant value). Comparing our symmetric case to the symmetric all-pay auction, the choice of t min corresponds to bidding one's valuation in the all-pay auction.…”
Section: Relationship To All-pay Auctionsmentioning
confidence: 99%
“…For all-pay auctions with asymmetric rewards, Baye, Kovenock, and Vries [1996]¯nd that the weak bidder (the one with the low value) has zero expected pro¯ts, while the strong bidder (the one with the high value) earns the di®erence between the rewards. They also¯nd that the equilibrium has mixed strategies on a support between zero and the lower valuation with the weak bidder placing an atom at zero.…”
Section: Relationship To All-pay Auctionsmentioning
confidence: 99%
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“…See for example, Baye, Kovenock and de Vries [4,5] and the citations, therein. Complete information creates a mixed strategy equilibrium and is a very different exercise from modeling a contest with private information.…”
Section: Discussionmentioning
confidence: 99%
“…The contest designer's objective is to maximize expected revenue subject to participation and incentive constraints. 5 We consider the case where the designer has control over a, b, q 0 , and G(θ).…”
Section: A Contestant Behavior Under These More General Contest Rulesmentioning
confidence: 99%