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Incentives for Boundedly Rational Agents

Author

Listed:
  • Basov Suren

    (Melbourne University)

Abstract

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.

Suggested Citation

  • Basov Suren, 2003. "Incentives for Boundedly Rational Agents," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 3(1), pages 1-16, June.
    • Handle: RePEc:bpj:bejtec:v:topics.3:y:2003:i:1:n:2
    DOI: 10.2202/1534-598X.1093
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    Cited by:

    1. Hayat Khan, 2019. "A Nontechnical Guide on Optimal Incentives for Islamic Insurance Operators," JRFM, MDPI, vol. 12(3), pages 1-14, July.
    2. Suren Basov, 2013. "Emotional Temperature, Probabilistic Choice and the Optimal Power of Incentives," The Economic Record, The Economic Society of Australia, vol. 89, pages 84-94, June.
    3. Suren Basov & Svetlana Danilkina & David Prentice, 2020. "When Does Variety Increase with Quality?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(3), pages 463-487, May.
    4. Suren Basov & Svetlana Danilkina, 2010. "Multitasking, Multidimensional Screening, and Moral Hazard with Risk Neutral Agents," The Economic Record, The Economic Society of Australia, vol. 86(s1), pages 80-86, September.
    5. Suren Basov, 2010. "Simulation and Inference for Stochastic Differential Equations: With R Examples," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 137-140, March.

    More about this item

    Keywords

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    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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