Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning
arXiv:2509.18484v2 Announce Type: replace
Abstract: Estimating causal effects on networks is challenging because treatments may affect both treated units and their neighbors, while network homophily induces dependence and confounding. These challenges…