Anna Rubinchik | University of Haifa
In the asymmetric contest with players knowing that all the rivals' abilities are distributed independently and uniformly with commonly known, but different, support there is a unique continuous Bayesian-Nash equilibrium. There
- homogeneity of contestants has no effect on the maximal effort, which is fully determined by the average ability of the group,
- the homogeneity increases total expected effort, and
- it increases (in terms of stochastic dominance) the distribution of the minimal effort.
Hence, in such competitive environments
- the best team to generate the highest top effort (as in R&D races) consists of only two (ex-ante) best competitors
- if players are not too different ex-ante, the revenue-maximizing allocation of players into two equal groups admits segregation by ability, with all players in one group having higher top ability than in the other, thus offering, e.g., a rationale behind dividing players (teams) into leagues as a way to increase the spectators' enjoyment.
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