无策略多目标机制设计:非拟线性偏好下的事后收益最大化

Tomoya Kazumura, D. Mishra, Shigehiro Serizawa
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引用次数: 15

摘要

一个卖家将多个物品出售给一组代理,这些代理最多只能购买一个物品。每个代理对(对象,支付)对的偏好不需要是拟线性的。卖方认为她的机制有以下几个理想,她称之为理想:(1)策略抗扰性,(2)事后个人理性,(3)平等对待,(4)不浪费(每个对象都分配给某个代理)。最小瓦尔拉斯均衡价格(MWEP)机制是可取的。我们表明,在每一种偏好情况下,MWEP机制比任何不满足补贴的理想机制为卖方带来更多的收入。我们的结果适用于拟线性领域,其中MWEP机制是VCG机制,以及各种非拟线性领域,其中一些领域包含代理商的正收益效应。对于某些具有正收益效应的领域,我们可以在我们的结果中放宽不补贴到不破产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategy-Proof Multi-Object Mechanism Design: Ex-Post Revenue Maximization With Non-Quasilinear Preferences
Abstract A seller is selling multiple objects to a set of agents, who can buy at most one object. Each agent's preference over (object, payment) pairs need not be quasilinear. The seller considers the following desiderata for her mechanism, which she terms desirable: (1) strategy-proofness, (2) ex-post individual rationality, (3) equal treatment of equals, (4) no wastage (every object is allocated to some agent). The minimum Walrasian equilibrium price (MWEP) mechanism is desirable. We show that at each preference profile, the MWEP mechanism generates more revenue for the seller than any desirable mechanism satisfying no subsidy. Our result works for the quasilinear domain, where the MWEP mechanism is the VCG mechanism, and for various non-quasilinear domains, some of which incorporate positive income effect of agents. We can relax no subsidy to no bankruptcy in our result for certain domains with positive income effect.
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