Strategyproof Matching with Minimum Quotas and Initial Endowments (Extended Abstract)

Naoto Hamada (Kyushu University), Ryoji Kurata (Kyushu University), Suguru Ueda (Kyushu University), Takamasa Suzuki (Kyushu University), Makoto Yokoo (Kyushu University)

Abstract

Although minimum quotas are important in many real-world markets, existing strategyproof mechanisms require an unrealistic assumption that all students consider all schools acceptable (and vice-versa). We develop a strategyproof matching mechanism called Priority-List based Deferred Acceptance mechanism with Minimum Quotas (PLDA-MQ), which works under more realistic assumptions: (i) a student considers (at least) one particular school, which we call her initial endowment school, acceptable, and vice-versa, and (ii) the initial endowments satisfy all the minimum quotas. We require a matching to respect initial endowments; each student must be assigned to a school that is at least as good as her initial endowment. PLDA-MQ obtains the student-optimal matching within all matchings that respect minimum quotas/initial endowments and satisfies a stability requirement called Priority-List based (PL-) stability. CCS Concepts •Computing methodologies → Multi-agent systems; •Applied computing → Economics;