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Optimal prize allocation in contests: The role of negative prizes

机译:竞赛中的最佳奖品分配:负奖的作用

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摘要

In this paper, we analyze the role of negative prizes in contest design with a fixed budget, risk-neutral contestants, and independent private abilities. The effort-maximizing prize allocation rule features a threshold. When the highest effort is above the threshold, all contestants with lower efforts receive negative prizes. These negative prizes are used to augment the prize to the contestant with the highest effort, which better incentivizes contestants with higher abilities. When no contestant's effort exceeds the threshold, all contestants equally split the initial budget (or a portion of it) to ensure their participation. We find that allowing negative prizes can increase the expected total effort dramatically. In particular, if no bound is imposed on negative prizes, the expected total effort can be arbitrarily close to the highest possible effort inducible when all contestants have the maximum ability with certainty. The above contest is shown to be the optimal mechanism for a more general class of mechanisms. (C) 2018 Elsevier Inc. All rights reserved.
机译:在本文中,我们分析了具有固定预算,风险中立的参赛者和独立的私人能力的负奖在竞赛设计中的作用。努力最大化奖品分配规则具有阈值。当最大的努力超过阈值时,所有努力程度较低的参赛者都将获得负面奖励。这些负面奖品用于以最大的努力向参赛者增加奖品,从而更好地激励具有更高能力的参赛者。当没有任何参赛者的努力超出阈值时,所有参赛者均等地分配初始预算(或一部分)以确保其参与度。我们发现允许负奖励可以大大增加预期的总工作量。尤其是,如果对负奖没有施加任何限制,则当所有参赛者都具有最大能力确定性时,预期的总努力可以任意接近可诱导的最大努力。对于较一般的机制类别,上述竞赛被证明是最佳机制。 (C)2018 Elsevier Inc.保留所有权利。

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