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Incentives for Boundedly Rational Agents

  • Suren Basov
Veröffentlicht/Copyright: 25. Juni 2003

This paper develops a theoretical framework for analyzing incentive schemes under bounded rationality. It starts from a standard principal-agent model and then superimposes an assumption of boundedly rational behavior on the part of the agent. Boundedly rational behavior is modeled as an explicit optimization procedure, which combines gradient dynamics with imitation and experimentation. The results predict the underprovision of optimal incentives and deviation from a standard sufficient statistics result from the agency literature. It also allows us to address the question of creating the optimal incentives in a multicultural environment.

Published Online: 2003-6-25

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

Heruntergeladen am 18.11.2025 von https://www.degruyterbrill.com/document/doi/10.2202/1534-598X.1093/pdf?lang=de
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