Abstract

This article proposes a doubly robust estimator for the average treatment effect (ATE) in the dyadic regression design. The proposed estimator is shown to be doubly robust in that it is consistent as long as either the propensity score or the outcome model is correctly specified. We derive the asymptotic results for the proposed estimators. Furthermore, we report a simulation study to assess the performance of different estimators.