Stable Matching Games

📅 2020-08-04
🏛️ Adaptive Agents and Multi-Agent Systems
📈 Citations: 1
Influential: 0
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🤖 AI Summary
This paper addresses the joint modeling of stable matching and strategic interaction: within the Gale–Shapley framework, match outcomes do not directly yield payoffs but are instead endogenously determined by non-cooperative or semi-cooperative games between matched agents. To formalize this integration, we introduce the concept of *doubly stable matching*, comprising *external stability*—no unmatched pair can jointly improve—and *internal stability*—no matched agent has a unilateral incentive to deviate without violating external stability. Our work unifies matching mechanism design with game-theoretic equilibrium analysis, subsuming classical models including monetary transfers and contract-based matching. We propose a hybrid algorithm combining deferred acceptance with equilibrium computation and prove the existence of doubly stable matchings under three broad classes of games: strictly competitive games, potential games, and infinitely repeated games. The framework provides a behaviorally grounded, general theoretical foundation for multi-sided markets.
📝 Abstract
In 1962, Gale and Shapley introduced a matching problem between two sets of agents $M$ and $W$ (men/women, students/universities, doctors/hospitals), who need to be matched by taking into account that each agent on one side of the market has an $ extit{exogenous}$ preference order over the agents of the other side. They defined a matching as stable if no unmatched pair can Pareto improve by matching together. They proved the existence of a stable matching using a "deferred-acceptance" algorithm. Shapley and Shubik in 1971, extended the model by allowing monetary transfers (buyers/sellers, workers/firms). Our article offers a further extension by assuming that matched couples obtain their payoff $ extit{endogenously}$ as the outcome of a strategic-form game they have to play. A matching, together with a strategy profile, is $ extit{externally stable}$ if no unmatched pair can form a couple and play a strategy profile in their game that Pareto improves their previous payoffs. It is $ extit{internally stable}$ if no agent, by individually changing his/her strategy inside his/her couple, can increase his/her payoff without breaking the external stability of his/her couple (e.g. the partner's payoff decreases below his/her current market outside option). By combining a deferred acceptance algorithm with a new algorithm, we prove the existence of externally and internally stable matchings when couples play strictly competitive games, potential games, or infinitely repeated games. Our model encompasses and refines matching with monetary transfers (Shapley-Shubik 1971, Kelso-Crawford 1982, Demange-Gale 1986, Demange-Gale-Sotomayor 1986) as well as matching with contracts (Blaire 1988, Hatfield-Milgrom 2005).
Problem

Research questions and friction points this paper is trying to address.

Extends stable matching with strategic game payoffs
Defines solution concepts for commitment scenarios
Provides conditions and algorithms for solution existence
Innovation

Methods, ideas, or system contributions that make the work stand out.

Endogenous payoff strategic game
Non-cooperative semi-cooperative commitment
Combined stability Nash equilibrium
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