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Incentives for Boundedly Rational Agents


  • Basov, S.


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 a specific form of social learning called imitation of scope.

Suggested Citation

  • Basov, S., 2001. "Incentives for Boundedly Rational Agents," Department of Economics - Working Papers Series 813, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:813

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    References listed on IDEAS

    1. Marianne Bertrand & Sendhil Mullainathan, 2000. "Do CEOs Set Their Own Pay? The Ones Without Principals Do," NBER Working Papers 7604, National Bureau of Economic Research, Inc.
    2. Spence, Michael & Zeckhauser, Richard, 1971. "Insurance, Information, and Individual Action," American Economic Review, American Economic Association, vol. 61(2), pages 380-387, May.
    3. George A. Akerlof, 1982. "Labor Contracts as Partial Gift Exchange," The Quarterly Journal of Economics, Oxford University Press, vol. 97(4), pages 543-569.
    4. Ross, Stephen A, 1973. "The Economic Theory of Agency: The Principal's Problem," American Economic Review, American Economic Association, vol. 63(2), pages 134-139, May.
    5. Jensen, Michael C & Murphy, Kevin J, 1990. "Performance Pay and Top-Management Incentives," Journal of Political Economy, University of Chicago Press, vol. 98(2), pages 225-264, April.
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    Cited by:

    1. Suren Basov & Svetlana Danilkina & David Prentice, 2008. "When does Variety increase with Quality?," Working Papers 2008.04, School of Economics, La Trobe University.
    2. 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.

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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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