The Power of Menus in Contract Design
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Abstract (arXiv)
We study the power of menus of contracts in principal-agent problems with adverse selection (agents can be one of several types) and moral hazard (we cannot observe agent actions directly). For principal-agent problems with T types and n actions, we show that the best menu of contracts can obtain a factor Omega(max(n, log T)) more utility for the principal than the best individual contract, partially resolving an open question of Guruganesh et al. (2021). We then turn our attention to randomized menus of linear contracts, where we likewise show that randomized linear menus can be Omega(T) better than the best single linear contract. As a corollary, we show this implies an analogous gap between deterministic menus of (general) contracts and randomized menus of contracts (as introduced by Castiglioni et al. (2022)).
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jun 2023.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 1; 2026: 1.
5 papers.
- 2024Contracting with a Learning Agentcited by 23
- 2023Learning Optimal Contracts: How to Exploit Small Action Spacescited by 5
- 2023Learning in Online Principal-Agent Interactions: The Power of Menuscited by 4
- 2025The Pseudo-Dimension of Contractscited by 3
- 2026The Optimal Sample Complexity of Linear Contractscited by 0
- 2026The Optimal Sample Complexity of Linear Contracts4 Jan 2026
- 2025The Pseudo-Dimension of Contracts24 Jan 2025
- 2024Contracting with a Learning Agent29 Jan 2024
- 2023Learning in Online Principal-Agent Interactions: The Power of Menus15 Dec 2023
- 2023Learning Optimal Contracts: How to Exploit Small Action Spaces18 Sep 2023