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Optimal Incentives Schemes under Homo Moralis Preferences

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  • Roberto Sarkisian

    (Department of Economics and Finance, Tor Vergata University of Rome, Via Columbia, 2 00133 Rome, Italy)

Abstract

This study focuses on the optimal incentive schemes in a multi-agent moral hazard model, where each agent has other-regarding preferences and an individual measure of output, with both being observable by the principal. In particular, the two agents display homo moralis preferences. I find that, contrary to the case with purely selfish preferences, tournaments can never be optimal when agents are risk averse, and as the degree of morality increases, positive payments are made in a larger number of output realizations. Furthermore, I extend the analysis to a dynamic setting, in which a contract is initially offered to the agents, who then repeatedly choose which level of effort to provide in each period. I show that the optimal incentive schemes in this case are similar to the ones obtained in the static setting, but for the role of intertemporal discounting.

Suggested Citation

  • Roberto Sarkisian, 2021. "Optimal Incentives Schemes under Homo Moralis Preferences," Games, MDPI, vol. 12(1), pages 1-22, March.
  • Handle: RePEc:gam:jgames:v:12:y:2021:i:1:p:28-:d:520770
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    References listed on IDEAS

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    1. Esteban Muñoz Sobrado, 2022. "Taxing Moral Agents," CESifo Working Paper Series 9867, CESifo.

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