2009
DOI: 10.1016/j.geb.2009.03.012
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Contests with a stochastic number of players

Abstract: We study Tullock's (1980) n-player contest when each player has an independent probability 0 < p ≤ 1 of participating. A unique symmetric equilibrium is found for any n and p and its properties are analyzed. In particular, we show that for a fixed n > 2 individual equilibrium spending as a function of p is single-peaked and satisfies a single-crossing property for any two different numbers of potential players. However, total equilibrium spending is monotonically increasing in p and n. We also demonstrate that… Show more

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Cited by 73 publications
(63 citation statements)
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“…Formally, I assume that each contestant has either a high or a low valuation, where the low valuation is zero. The model describes situations where the contestants do not know whether or not they face an active competitor, as in Myerson and Wärneryd (2006), Münster (2006), and Lim and Matros (2007). The valuations of the contestants are independent, but are constant over time.…”
Section: Introductionmentioning
confidence: 99%
“…Formally, I assume that each contestant has either a high or a low valuation, where the low valuation is zero. The model describes situations where the contestants do not know whether or not they face an active competitor, as in Myerson and Wärneryd (2006), Münster (2006), and Lim and Matros (2007). The valuations of the contestants are independent, but are constant over time.…”
Section: Introductionmentioning
confidence: 99%
“…This increase can at least in part be traced back to individual risk preferences (e.g., Haviv and Milchtaich, 2012). Moreover, population uncertainty inuences equilibrium spending in contests theoretically and experimentally (Lim and Matros, 2009;Boosey et al, 2016). Further, even very well known economic results like the optimal pricing behavior in a Bertrand competition change with population uncertainty (Ritzberger, 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Myerson and Wärneryd (2006) examined a contest with an infinite number of potential entrants. Both Münster (2006) and Lim and Matros (2010) assumed a finite pool of potential contestants. In their setting, each participating contestant enters the contest with a fixed and independent probability and the number of participating contestants follows a binomial distribution.…”
mentioning
confidence: 99%
“…Münster (2006) focused on the impact of players' risk attitudes on the contestants' incentive to supply effort. In contrast, Lim and Matros (2010) considered a scenario with risk-neutral contestants.…”
mentioning
confidence: 99%
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