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Endogenous Selection and Moral Hazard in Compensation Contracts

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  • Armstrong, Christopher D.

    (University of Pennsylvania)

  • Larcker, David F.

    (Stanford University)

  • Su, Che-Lin

    (University of Chicago)

Abstract

The two major paradigms in the theoretical agency literature are moral hazard (i.e., hidden action) and adverse selection (i.e., hidden information). Prior research typically solves these problems in isolation, as opposed to simultaneously incorporating both adverse selection and moral hazard features. We formulate two complementary generalized principal-agent models that incorporate features observed in real world contracting environments (e.g., agents with power utility and limited liability, lognormal stock price distributions, and stock options) as mathematical programs with equilibrium constraints (MPEC). We use state- of-the-art numerical algorithms to solve the resulting models. We find that many of the standard results no longer obtain when wealth effects are present. We also develop a new measure of incentives calculated as the change in the agent's certainty equivalent under the optimal contract for a change in action evaluated at the optimal action. This measure facilitates interpretation of the resulting contracts and allows us to compare contracts across different contracting environments.

Suggested Citation

  • Armstrong, Christopher D. & Larcker, David F. & Su, Che-Lin, 2010. "Endogenous Selection and Moral Hazard in Compensation Contracts," Research Papers 2049, Stanford University, Graduate School of Business.
  • Handle: RePEc:ecl:stabus:2049
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    References listed on IDEAS

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    Cited by:

    1. Moussawi-Haidar, Lama & Çömez-Dolgan, Nagihan, 2017. "Percentage rent contracts between co-stores," European Journal of Operational Research, Elsevier, vol. 258(3), pages 912-925.
    2. Tian, Yisong S., 2013. "Ironing out the kinks in executive compensation: Linking incentive pay to average stock prices," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 415-432.
    3. Christopher S. Armstrong, 2013. "The Ombudsman: A Closer Look at the Efficiency of Top Executive Pay and Incentives," Interfaces, INFORMS, vol. 43(6), pages 590-592, December.

    More about this item

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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