凝聚力社区中的信任

F. Balmaceda, Juan F. Escobar
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引用次数: 11

摘要

本文研究了当协议被隐式执行时,哪些社会网络的信任和福利最大化。我们研究了一个重复信任博弈,其中交易机会是外生的,社会网络决定了每个参与者所拥有的信息。本文的主要贡献是在关于信息如何在网络中流动的不同假设下对最优网络的表征。当只有受害者的关系观察到背叛时,内聚网络是帕累托有效的,因为它们允许参与者协调他们的惩罚以获得高均衡收益。相反,当受害者的直接和间接连接观察到背叛时,几乎没有连接的网络可以最大化惩罚背叛的玩家数量,因此是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust in Cohesive Communities
This paper studies which social networks maximize trust and welfare when agreements are implicitly enforced. We study a repeated trust game in which trading opportunities arise exogenously and a social network determines the information each player has. The main contribution of the paper is the characterization of optimal networks under alternative assumptions about how information flows across a network. When a defection is observed only by the victim's connections, cohesive networks are Pareto efficient as they allow players to coordinate their punishments to attain high equilibrium payoffs. In contrast, when a defection is observed by the victim's direct and indirect connections, barely connected networks maximize the number of players that can punish a defection and are therefore efficient.
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