Abstract
Most analyses of the principal-agent problem assume that the principal chooses an incentive scheme to maximize expected utility subject to the agent’s utility being at a stationary point. An important paper of Mirrlees has shown that this approach is generally invalid. We present an alternative procedure. If the agent’s preferences over income lotteries are independent of action, we show that the optimal way of implementing an action by the agent can be found by solving a convex programming problem. We use this to characterize the optimal incentive scheme and to analyze the determinants of the seriousness of an incentive problem.
Keywords
- Incentive Scheme
- Risk Averse
- Incentive Problem
- Optimal Incentive Scheme
- High Return State
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Support from the U.K. Social Science Research Council and NSF Grant No. SOC70-13429 is gratefully acknowledged. We would like to thank Bengt Holmstrom, Mark Machina, Andreu Mas-Colell, and Jim Mirrlees for helpful comments.
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Grossman, S.J., Hart, O.D. (1992). An Analysis of the Principal-Agent Problem. In: Dionne, G., Harrington, S.E. (eds) Foundations of Insurance Economics. Huebner International Series on Risk, Insurance and Economic Security, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7957-5_16
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DOI: https://doi.org/10.1007/978-94-015-7957-5_16
Publisher Name: Springer, Dordrecht
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