Revisiting the First-Order Approach to Principal-Agent Problems

30 Pages Posted: 18 Feb 2024 Last revised: 16 Apr 2025

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, leading to 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 economically interpretable, reasonably easy to verify, and flexible enough to accommodate common instances where the agent’s expected utility is non-unimodal in effort under optimal contracts (besides those with unimodal utility functions), contrasting the literature that typically justifies FOA by requiring the agent’s utility function to be not only unimodal but also concave.

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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