论文标题
在二元同伴效应分析中，基于回归的基于同质性的负面对照
Regression-based Negative Control of Homophily in Dyadic Peer Effect Analysis
论文作者
论文摘要
对社交网络对同伴影响的因果推断的重大威胁是同性偏见的存在，也就是说，朋友和家人之间的社会影响与共同的特征或基本相似之处纠缠在一起，形成紧密的联系。对社交网络数据的分析表明，某些健康状况，例如肥胖和心理状态，包括幸福和孤独感，可以传播到网络上。但是，这种对同伴效应或传染效应的分析受到了批评，因为同质性偏见可能会损害因果陈述。我们开发了一种基于回归的方法，该方法利用负面控制的暴露，以识别和估计在存在同质偏见的情况下，对添加剂或乘法量表的触发作用效果。我们采用我们的方法来评估肥胖症在弗雷明汉后代研究中的同伴效应。
A prominent threat to causal inference about peer effects over social networks is the presence of homophily bias, that is, social influence between friends and families is entangled with common characteristics or underlying similarities that form close connections. Analysis of social network data has suggested that certain health conditions such as obesity and psychological states including happiness and loneliness can spread over a network. However, such analyses of peer effects or contagion effects have come under criticism because homophily bias may compromise the causal statement. We develop a regression-based approach which leverages a negative control exposure for identification and estimation of contagion effects on additive or multiplicative scales, in the presence of homophily bias. We apply our methods to evaluate the peer effect of obesity in Framingham Offspring Study.
