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Optimal Contracts under General Mixed Constraints: Continuity, Structure, and Applications

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  • Aggey Simons

    (Department of Economics, University of Ottawa, Canada)

Abstract

This paper characterizes optimal contract structures under adverse selection when the principal faces a general class of mixed (involving allocation and transfer) constraints. We establish conditions for the existence and the continuity of the optimal allocation. We show that under regularity conditions, the optimal continuous contract features at most three distinct regions: segments where the constraint is slack and the allocation follows a modified Baron-Myerson path, alternating with segments where the constraint binds. Assuming non-generic cases are excluded, the binding constraint forces a constant allocation (bunching) over a range of agent types. This framework encompasses a wide range of applications, including enforcement limits, budget constraints, and quality regulations. Our analysis demonstrates how bunching can arise endogenously from optimal design under smooth constraints, distinct from exogenously induced behavioural responses documented empirically.

Suggested Citation

  • Aggey Simons, 2025. "Optimal Contracts under General Mixed Constraints: Continuity, Structure, and Applications," Working Papers 2502E, University of Ottawa, Department of Economics.
  • Handle: RePEc:ott:wpaper:2502e
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    File URL: http://hdl.handle.net/10393/50339
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    References listed on IDEAS

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    1. Guesnerie, Roger & Laffont, Jean-Jacques, 1984. "A complete solution to a class of principal-agent problems with an application to the control of a self-managed firm," Journal of Public Economics, Elsevier, vol. 25(3), pages 329-369, December.
    2. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    3. Emmanuel Saez, 2010. "Do Taxpayers Bunch at Kink Points?," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 180-212, August.
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    Keywords

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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