Incentivizing Learning-by-Doing: The Role of Compensation Schemes

Joshua Graff Zivin, Lisa B. Kahn, Matthew Neidell
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引用次数: 2

Abstract

In this paper, we examine the impact of pay-for-performance incentives on learning-by-doing. We exploit personnel data on fruit pickers paid under two distinct compensation contracts: a standard piece rate plan and a piece rate plan with an extra one-time bonus tied to output. Under the bonus contract, we observe bunching of performance just above the bonus threshold, suggesting workers distort their behavior in response to the discrete bonus. Such bunching behavior increases as workers gain experience. At the same time, the bonus contract induces considerable learning-by-doing for workers throughout the productivity distribution, and these improvements significantly outweigh the losses to the firm from the distortionary bunching. In contrast, under the standard piece rate contract, we find minimal evidence of bunching and only small performance improvements at the bottom of the productivity distribution. Our results suggest that contract design can help foster learning on the job. This underscores the importance of dynamic considerations in principal-agent models.
激励在实践中学习:薪酬计划的作用
在本文中,我们考察了绩效薪酬激励对边做边学的影响。我们利用了根据两种不同的薪酬合同支付水果采摘工的个人数据:一种是标准计件工资计划,另一种是计件工资计划,其中额外的一次性奖金与产出挂钩。在奖金合同下,我们观察到,在奖金门槛之上,员工的表现出现了集中,这表明,员工在面对离散的奖金时,会扭曲自己的行为。这种聚集行为随着工人经验的积累而增加。与此同时,奖金合同在整个生产率分配中为工人带来了相当大的“边干边学”,这些改进大大超过了扭曲的聚类给公司带来的损失。相比之下,在标准计件工资合同下,我们在生产率分布的底部发现了很少的聚类证据,只有很小的绩效改进。我们的研究结果表明,契约设计有助于促进工作中的学习。这强调了在委托代理模型中动态考虑的重要性。
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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