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Loss Aversion, Stochastic Compensation, and Team Incentives

Author

Listed:
  • Kohei Daido

    (School of Economics, Kwansei Gakuin University)

  • Takeshi Murooka

    (Department of Economics, University of California, Berkeley)

Abstract

We investigate moral-hazard problems with limited liability where agents have expectation-based reference-dependent preferences. We show that stochastic compensation for low performance can be optimal. Because of loss aversion, the agents have first-order risk aversion to wage uncertainty. This causes the agents to work harder when their low performance is stochastically compensated. We also examine team incentives for credibly employing such stochastic compensation. In an optimal contract, low- and high-performance agents are equally rewarded if most agents achieve high performance. Team incentives can be optimal even when there are only two agents and the degree of loss aversion is not large.

Suggested Citation

  • Kohei Daido & Takeshi Murooka, 2013. "Loss Aversion, Stochastic Compensation, and Team Incentives," Discussion Paper Series 107, School of Economics, Kwansei Gakuin University, revised Jul 2013.
    • Handle: RePEc:kgu:wpaper:107
    as

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    References listed on IDEAS

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    More about this item

    Keywords

    Moral Hazard; Loss Aversion; Stochastic Compensation; Team Incentives; Reference-Dependent Preferences;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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