纳什均衡
经济
数理经济学
微观经济学
特征向量
班级(哲学)
博弈论
图形
社交网络(社会语言学)
战略互动
计量经济学
计算机科学
数学
物理
组合数学
人工智能
万维网
量子力学
社会化媒体
作者
Yann Bramoullé,Rachel Kranton,Martin D'Amours
标识
DOI:10.1257/aer.104.3.898
摘要
Geography and social links shape economic interactions. In industries, schools, and markets, the entire network determines outcomes. This paper analyzes a large class of games and obtains a striking result. Equilibria depend on a single network measure: the lowest eigenvalue. This paper is the first to uncover the importance of the lowest eigenvalue to economic and social outcomes. It captures how much the network amplifies agents' actions. The paper combines new tools—potential games, optimization, and spectral graph theory—to solve for all Nash and stable equilibria and applies the results to R&D, crime, and the econometrics of peer effects. (JEL C72, D83, D85, H41, K42, O33, Z13)
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