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Bounded Rationality and Incomplete Contracts

Author

Listed:
  • Luca Anderlini
  • Leonardo Felli

Abstract

This paper explores the link between boundedly rational behaviour and incomplete contracts. The bounded rationality of the agents in our world is embodied in a constraint that the contracts they write must be algorithmic in nature. We start with a definition of contract incompleteness that seems both appealing and widely applicable. Our first task is then to show that, by itself, the algorithmic nature of contracts is not enough to generate genuinely incomplete contracts in equilibrium. As in Anderlini and Felli (1994), we call this the Approximation Result. We then consider contractual situations in which the complexity costs of a contract are explicitly taken into accoaunt. We consider a broad (axiomatically defined) class of complexity measures and in this framework we show that incomplete contracts obtain in equilibrium. We also extensively discuss some recent literature directly related to the results reported here

Suggested Citation

  • Luca Anderlini & Leonardo Felli, 2000. "Bounded Rationality and Incomplete Contracts," STICERD - Theoretical Economics Paper Series 407, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  • Handle: RePEc:cep:stitep:407
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    Cited by:

    1. Ola Bengtsson & Dan Bernhardt, 2014. "Lawyers In Venture Capital Contracting: Theory And Evidence," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1080-1102, July.
    2. M’hand Fares, 2005. "Quels fondements à l’incomplétude des contrats?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 81(3), pages 535-555.
    3. Polydoropoulou, Amalia & Roumboutsos, Athena, 2009. "Evaluating the impact of decision making during construction on transport project outcome," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 369-380, November.
    4. Lorenzo Sacconi, 2001. "Incomplete contracts and corporate ethics: a game theoretical model under fuzzy information," LIUC Papers in Ethics, Law and Economics 91, Cattaneo University (LIUC).

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    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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