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Give me a challenge or give me a raise
Experimental Economics ( IF 2.387 ) Pub Date : 2021-03-27 , DOI: 10.1007/s10683-021-09709-8
Aleksandr Alekseev

I study the effect of task difficulty on workers’ effort. I find that task difficulty has an inverse-U effect on effort and that this effect is quantitatively large, especially when compared to the effect of conditional monetary rewards. Difficulty acts as a mediator of monetary rewards: conditional rewards are most effective at the intermediate or high levels of difficulty. The inverse-U pattern of effort response to difficulty is inconsistent with many popular models in the literature, including the Expected Utility models with the additively separable cost of effort. I propose an alternative mechanism for the observed behavior based on non-linear probability weighting. I structurally estimate the proposed model and find that it successfully captures the behavioral patterns observed in the data. I discuss the implications of my findings for the design of optimal incentive schemes for workers and for the models of effort provision.



中文翻译:

给我一个挑战或给我加薪

我研究了任务难度对工人努力的影响。我发现任务难度对工作量具有反U效应,并且这种效应在数量上很大,尤其是与条件货币奖励的效应相比。困难充当金钱奖励的中介者:有条件的奖励在中等或高难度级别上最有效。对困难做出努力的逆U型模式与文献中的许多流行模型不一致,包括预期效用模型与可加分开的努力成本。我提出了一种基于非线性概率加权的观察行为的替代机制。我从结构上评估了提出的模型,并发现它成功地捕获了数据中观察到的行为模式。

更新日期:2021-03-29
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