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The singleton core in the college admissions problem and its application to the National Resident Matching Program (NRMP)

机译:大学录取问题中的单例核心及其在国家居民匹配计划(NRMP)中的应用

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We show that in the marriage problem the student-optimal algorithm may in fact generate an equilibrium outcome that is college-optimal and student-pessimal in terms of the true preferences even though it is student-optimal and college-pessimal in terms of the submitted preferences. In the college admissions problem, the student-optimal algorithm generates either a matching that is not stable for the true preferences or a matching that is college-optimal and student-pessimal in terms of the true preferences. Thus, our results show that, in the absence of certain match variations, the newly designed student-optimal algorithm adopted by the NRMP since 1998 either may be bias in favor of hospitals in terms of the true preferences or fails to produce a true stable matching.We also discuss when the core is large and when the core is a singleton at a Nash equilibrium.
机译:我们证明,在婚姻问题中,学生最优算法实际上可以产生一个均衡结果,该均衡结果在真实偏好方面是大学最优和学生悲观的,即使在提交方面是学生最优和大学悲观的。首选项。在大学录取问题中,学生最优算法会生成对真实偏好不稳定的匹配,或者会生成对真实偏好而言是大学最优和学生悲观的匹配。因此,我们的结果表明,在没有某些匹配差异的情况下,NRMP自1998年以来采用的新设计的学生最优算法可能在偏爱方面偏向于医院,或者无法产生真正的稳定匹配我们还将讨论何时核心很大,以及何时核心是纳什均衡下的单例。

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