G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15505
DP15505 Binary Outcomes and Linear Interactions
Vincent Boucher; Yann Bramoullé
发表日期2020-11-30
出版年2020
语种英语
摘要Heckman and MaCurdy (1985) first showed that binary outcomes are compatible with linear econometric models of interactions. This key insight was unduly discarded by the literature on the econometrics of games. We consider general models of linear interactions in binary outcomes that nest linear models of peer effects in networks and linear models of entry games. We characterize when these models are well defined. Errors must have a specific discrete structure. We then analyze the models’ game-theoretic microfoundations. Under complete information and linear utilities, we characterize the preference shocks under which the linear model of interactions forms a Nash equilibrium of the game. Under incomplete information and independence, we show that the linear model of interactions forms a Bayes-Nash equilibrium if and only if preference shocks are iid and uniformly distributed. We also obtain conditions for uniqueness. Finally, we propose two simple consistent estimators. We revisit the empirical analyses of teenage smoking and peer effects of Lee, Li, and Lin (2014) and of entry into airline markets of Ciliberto and Tamer (2009). Our reanalyses showcase the main interests of the linear framework and suggest that the estimations in these two studies suffer from endogeneity problems.
主题Industrial Organization
关键词Binary outcomes Linear probability model Peer effects Econometrics of games
URLhttps://cepr.org/publications/dp15505
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/544506
推荐引用方式
GB/T 7714
Vincent Boucher,Yann Bramoullé. DP15505 Binary Outcomes and Linear Interactions. 2020.
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