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The optimal allocation of prizes in tournaments of heterogeneous agents

机译:异构智能体比赛中奖品的最佳分配

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摘要

Tournaments are widely used in organizations, explicitly or implicitly, to reward the best-performing employees, e.g., through promotion or bonuses, and to punish the worst-performing employees, e.g., through firing or unfavorable job assignments. We use a principal-agent model to compare the efficiency of two tournament incentive schemes, reward tournament and punishment tournament, which, respectively, reward the best performer and punish the worst performer. We show that while the two schemes are equivalent when agents are symmetric in their ability, the equivalence is broken in the presence of heterogeneity. Specifically, punishment tournaments lead to higher profits of the firm. The reason is that low-ability agents are discouraged less in punishment tournaments than in reward tournaments, and hence can be compensated less to meet their participation constraints. Hence, our results predict that firms using punishment tournament contracts will perform better.
机译:锦标赛在组织中广泛使用,无论是明示或暗示地,例如通过晋升或奖金来奖励表现最佳的员工,并例如通过解雇或不利的工作分配来惩罚表现最差的员工。我们使用委托-代理模型比较两种锦标赛奖励方案(奖励锦标赛和惩罚锦标赛)的效率,这两种方案分别奖励表现最好的人和惩罚表现最差的人。我们表明,当代理的能力对称时,这两种方案是等效的,但当存在异质性时,等效性将被破坏。具体来说,惩罚性比赛可以带来更高的公司利润。原因是在惩罚性比赛中不鼓励低能力的特工,而在奖励比赛中不鼓励低能力的特工,因此,为满足他们的参与限制,他们可以获得较少的报酬。因此,我们的结果预测,使用惩罚性锦标赛合同的公司将表现更好。

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