Strategy-Proofness and Efficiency for Non-Quasi-Linear Common-Tiered-Object Preferences: Characterization of Minimum Price Rule

Yu Zhou, Shigehiro Serizawa
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引用次数: 5

Abstract

We consider the allocation problem of assigning heterogeneous objects to a group of agents and determining how much they should pay. Each agent receives at most one object. Agents have non-quasi-linear preferences over bundles, each consisting of an object and a payment. Especially, we focus on the cases: (i) objects are linearly ranked, and as long as objects are equally priced, agents commonly prefer a higher ranked object to a lower ranked one, and (ii) objects are partitioned into several tiers, and as long as objects are equally priced, agents commonly prefer an object in the higher tier to an object in the lower tier. The minimum price rule assigns a minimum price (Walrasian) equilibrium to each preference profile. We establish: (i) on a common-object-ranking domain, the minimum price rule is the only rule satisfying efficiency, strategy-proofness, individual rationality and no subsidy, and (ii) on a common-tiered-object domain, the minimum price rule is the only rule satisfying these four axioms.
非拟线性公共分层对象偏好的策略证明性和有效性:最小价格规则的表征
我们考虑将异构对象分配给一组代理并确定它们应该支付多少钱的分配问题。每个代理最多接收一个对象。代理对捆绑包具有非拟线性偏好,每个捆绑包由一个对象和一笔付款组成。特别是,我们关注的情况是:(i)对象是线性排序的,只要对象的价格相同,智能体通常更喜欢排名较高的对象而不是排名较低的对象;(ii)对象被划分为几个层,只要对象的价格相同,智能体通常更喜欢较高层的对象而不是较低层的对象。最小价格规则为每个偏好配置分配一个最小价格(瓦尔拉斯均衡)均衡。我们建立了:(i)在公共对象排序域上,最小价格规则是满足效率、策略证明、个体合理性和无补贴的唯一规则;(ii)在公共对象分层域上,最小价格规则是满足这四个公理的唯一规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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