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Motivating Effort with Information about Future Rewards

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  • Chang Liu

Abstract

This paper studies the optimal mechanism to motivate effort in a dynamic principal-agent model without transfers. An agent is engaged in a task with uncertain future rewards and can shirk irreversibly at any time. The principal knows the reward of the task and provides information to the agent over time in order to motivate effort. We derive the optimal information policy in closed form and thus identify two conditions, each of which guarantees that delayed disclosure is valuable. First, if the principal is impatient compared to the agent, she prefers the front-loaded effort schedule induced by delayed disclosure. In a stationary environment, delayed disclosure is beneficial if and only if the principal is less patient than the agent. Second, if the environment makes the agent become pessimistic over time in absence of any information disclosure, then providing delayed news can counteract this downward trend in the agent's belief and encourage the agent to work longer. Notably, the level of patience remains a crucial determinant of the optimal policy structure.

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  • Chang Liu, 2021. "Motivating Effort with Information about Future Rewards," Papers 2110.05643, arXiv.org, revised Oct 2023.
  • Handle: RePEc:arx:papers:2110.05643
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    References listed on IDEAS

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    1. Robert J. Aumann, 1995. "Repeated Games with Incomplete Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011476, April.
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    3. Jacopo Bizzotto & Jesper Rüdiger & Adrien Vigier, 2021. "Dynamic Persuasion with Outside Information," American Economic Journal: Microeconomics, American Economic Association, vol. 13(1), pages 179-194, February.
    4. Jeffrey C. Ely & Martin Szydlowski, 2020. "Moving the Goalposts," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 468-506.
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