Robust Performance Evaluation

Ashwin Kambhampati
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引用次数: 6

Abstract

This paper considers a moral hazard in teams model in which a principal knows that the agents she compensates are identical and independent, but does not know all of the actions they can take. In the face of this uncertainty, the principal chooses a symmetric contract that yields her the highest worst-case expected profit. It is shown, counterintuitively, that any such contract exhibitsjoint performance evaluation --- each agent's pay is increasing in the performance of the other--- and isnonlinear in team output. Hence, when robustness is a concern, nonlinear team-based incentive schemes--- such as team bonuses and employee stock options--- are justified. The analysis highlights a fundamentally new channel leading to the optimality of joint performance evaluation. The full paper can be found at the following link: https://ashwinkambhampati.github.io/RobustPerformance_EC.pdf.
稳健性能评估
本文考虑了团队模型中的道德风险问题,其中委托人知道她所补偿的代理人是相同且独立的,但不知道他们可以采取的所有行动。面对这种不确定性,委托人选择一种对称契约,使其在最坏情况下的预期利润最高。与直觉相反的是,任何这样的合同都表现出共同的绩效评估——每个代理人的工资随着另一个代理人的绩效而增加——并且在团队产出中是非线性的。因此,当考虑到稳健性时,基于团队的非线性激励方案(如团队奖金和员工股票期权)是合理的。分析强调了导致联合绩效评估最优的根本新渠道。全文可在以下链接中找到:https://ashwinkambhampati.github.io/RobustPerformance_EC.pdf。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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