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来源类型Working Paper
规范类型报告
DOI10.3386/w19212
来源IDWorking Paper 19212
Linear Social Interactions Models
Lawrence E. Blume; William A. Brock; Steven N. Durlauf; Rajshri Jayaraman
发表日期2013-07-11
出版年2013
语种英语
摘要This paper provides a systematic analysis of identification in linear social interactions models. This is both a theoretical and an econometric exercise as the analysis is linked to a rigorously delineated model of interdependent decisions. We develop an incomplete information game that describes individual choices in the presence of social interactions. The equilibrium strategy profiles are linear. Standard models in the empirical social interactions literature are shown to be exact or approximate special cases of our general framework, which in turn provides a basis for understanding the microeconomic foundations of those models. We consider identification of both endogenous (peer) and contextual social effects under alternative assumptions on a priori information about network structure available to an analyst, and contrast the informational content of individual-level and aggregated data. Finally, we discuss potential ramifications for identification of endogenous group selection and differences between the information sets of analysts and agents.
主题Econometrics ; Estimation Methods ; Microeconomics ; Game Theory ; Other ; Culture
URLhttps://www.nber.org/papers/w19212
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/576885
推荐引用方式
GB/T 7714
Lawrence E. Blume,William A. Brock,Steven N. Durlauf,et al. Linear Social Interactions Models. 2013.
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