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首页> 外文期刊>Econometrica >EXPERIMENTAL GAMES ON NETWORKS: UNDERPINNINGS OF BEHAVIOR AND EQUILIBRIUM SELECTION
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EXPERIMENTAL GAMES ON NETWORKS: UNDERPINNINGS OF BEHAVIOR AND EQUILIBRIUM SELECTION

机译:网络上的实验游戏:行为和均衡选择的基础

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In this paper, we describe a series of laboratory experiments that implement specific examples of a general network structure. Specifically, actions are either strategic substitutes or strategic complements, and participants have either complete or incomplete information about the structure of a random network. Since economic environments typically have a considerable degree of complementarity or substitutability, this framework applies to a wide variety of settings. We examine behavior and equilibrium selection. The degree of equilibrium play is striking, in particular with incomplete information. Behavior closely resembles the theoretical equilibrium whenever this is unique; when there are multiple equilibria, general features of networks, such as connectivity, clustering, and the degree of the players, help to predict informed behavior in the lab. People appear to be strongly attracted to maximizing aggregate payoffs (social efficiency), but there are forces that moderate this attraction: (1) people seem content with (in the aggregate) capturing only the lion's share of the efficient profits in exchange for reduced exposure to loss, and (2) uncertainty about the network structure makes it considerably more difficult to coordinate on a demanding, but efficient, equilibrium that is typically implemented with complete information.
机译:在本文中,我们描述了一系列实验室实验,这些实验实现了一般网络结构的特定示例。具体而言,行动是战略替代或战略补充,参与者具有关于随机网络结构的完整或不完整信息。由于经济环境通常具有相当程度的互补性或可替代性,因此该框架适用于多种环境。我们研究行为和均衡选择。均衡游戏的程度令人震惊,特别是在信息不完整的情况下。只要这是独特的,行为就非常类似于理论平衡。当存在多个均衡时,网络的一般功能(例如连接性,群集和参与者的程度)有助于预测实验室中的明智行为。人们似乎强烈地希望最大程度地提高总收益(社会效率),但是有一定的力量可以缓和这种吸引力:(1)人们似乎满足于(总的)仅捕获有效利润中的最大份额,以换取减少的风险(2)网络结构的不确定性使协调要求苛刻但有效的平衡变得更加困难,而平衡通常是通过完整的信息来实现的。

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