Matching with transfers under distributional constraints

• 成果类型: Article
• 署名作者: Jalota, Devansh; Ostrovsky, Michael; Pavone, Marco
• 署名单位: Stanford University
• 刊物名称: GAMES AND ECONOMIC BEHAVIOR
• ISSN/ISSBN: 0899-8256
• DOI: 10.1016/j.geb.2025.05.002
• 发表日期: 2025
• 页码: 313-332
• 关键词: Matching; market design; Distributional constraints; labor markets; STABILITY; linear programming; Duality

摘要

We study two-sided many-to-one matching markets with transferable utilities in which money can exchange hands between matched agents, subject to distributional constraints on the set of feasible allocations. In such markets, we establish that equilibrium arrangements are surplus-maximizing and study the conditions on the distributional constraints under which equilibria exist and can be computed efficiently when agents have linear preferences. Our main result is a linear programming duality method to efficiently compute equilibrium arrangements under sufficient conditions on the constraint structure guaranteeing equilibrium existence. This linear programming approach provides a method to compute market equilibria in polynomial time in the number of firms, workers, and the cardinality of the constraint set.