Aggregation and Linearity in the Provision of Intertemporal Incentives
The authors develop two themes in the theory of incentive schemes. First, one need not always use all of the information available in an optimal incentive contract. Accounting information, which aggregates performance over time, is sufficient for optimal compensation schemes in certain classes of environments. Second, optimal rules in a rich environment must work well in a range of circumstances and cannot, therefore, be complicated functions of the observed outcome. The authors illustrate these ideas in a particular model where the agent has a rich space of controls, showing that the unique optimal compensation scheme is a linear function of profits. Copyright 1987 by The Econometric Society.
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Volume (Year): 55 (1987)
Issue (Month): 2 (March)
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bengt Holmstrom, 1997.
"Moral Hazard and Observability,"
Levine's Working Paper Archive
1205, David K. Levine.
- Steven Shavell, 1979. "Risk Sharing and Incentives in the Principal and Agent Relationship," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 55-73, Spring.
- Grossman, Sanford J & Hart, Oliver D, 1983.
"An Analysis of the Principal-Agent Problem,"
Econometric Society, vol. 51(1), pages 7-45, January.
- Sanford Grossman & Oliver Hart, . "An Analysis of the Principal-Agent Problem," Rodney L. White Center for Financial Research Working Papers 15-80, Wharton School Rodney L. White Center for Financial Research.
- Sanford J Grossman & Oliver D Hart, 2001. "An Analysis of the Principal-Agent Problem," Levine's Working Paper Archive 391749000000000339, David K. Levine.
- Paul Milgrom & Robert Weber, 1981. "Distributional Strategies for Games with Incomplete Information," Discussion Papers 428R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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