# Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding

@inproceedings{Egami2021IdentificationAE, title={Identification and Estimation of Causal Peer Effects Using Double Negative Controls for Unmeasured Network Confounding}, author={Naoki Egami and Eric J. Tchetgen Tchetgen}, year={2021} }

Scientists have been interested in estimating causal peer effects to understand how people’s behaviors are affected by their network peers. However, it is well known that identification and estimation of causal peer effects are challenging in observational studies for two reasons. The first is the identification challenge due to unmeasured network confounding, for example, homophily bias and contextual confounding. The second issue is network dependence of observations, which one must take into…

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