Revisiting the First-Order Approach to Principal-Agent Problems

25 Pages Posted: 18 Feb 2024

See all articles by Hang Jiang

Hang Jiang

National University of Singapore (NUS) - Department of Information Systems and Analytics, Students

Chen Jin

National University of Singapore (NUS) - Department of Information Systems and Analytics

Luyi Yang

University of California, Berkeley - Haas School of Business

Date Written: February 3, 2024

Abstract

Principal-agent problems are typically solved by the first-order approach (FOA) that replaces the incentive-compatibility constraint in the original problem with its first-order condition, resulting in a relaxed problem. The most celebrated condition that validates FOA is the Mirrlees-Rogerson Condition, developed for a risk-averse agent. We show that it fails to generalize to a widely studied setting of risk-neutral players and limited liability. Instead of justifying FOA, we propose a less stringent notion that only requires FOA to be valid for quota-bonus contracts (FOAVQB). This proposal is rationalized by our finding that quota-bonus contracts are optimal for the relaxed problem. We identify exogenous sufficient conditions that justify FOAVQB, thus ensuring the optimality of quota-bonus contracts for the original problem. These sufficient conditions are flexible enough to accommodate common instances where the agent's expected utility is non-unimodal in effort (besides those with a unimodal utility function), contrasting the literature that justifies FOA by finding conditions to guarantee unimodality.

Keywords: Principal-agent problems, Moral hazard, Limited liability, Quota-bonus contracts, First-order approach

Suggested Citation

Jiang, Hang and Jin, Chen and Yang, Luyi, Revisiting the First-Order Approach to Principal-Agent Problems (February 3, 2024). Available at SSRN: https://ssrn.com/abstract=4715135 or http://dx.doi.org/10.2139/ssrn.4715135

Hang Jiang

National University of Singapore (NUS) - Department of Information Systems and Analytics, Students ( email )

Singapore

Chen Jin (Contact Author)

National University of Singapore (NUS) - Department of Information Systems and Analytics ( email )

Singapore

Luyi Yang

University of California, Berkeley - Haas School of Business ( email )

545 Student Services Building, #1900
2220 Piedmont Avenue
Berkeley, CA 94720
United States

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