3 papers
stat.ME2026
Causal Mediation Analysis for Network Data with Graph Neural Network
Peikai Wu, Zhiguo Xiao
Causal mediation analysis is typically formulated under no interference, an assumption often violated in networked populations. We develop a nonparametric framework for a single la…
stat.ME2025
Difference-in-Differences Under Network Interference
Kuan Sun, Zhiguo Xiao
This paper develops doubly robust estimators for direct (DATT) and spillover (SATT) average treatment effects on the treated in network-based difference-in-differences (DiD) design…
stat.ME2025
Causal Inference in Panel Data with a Continuous Treatment
Zhiguo Xiao, Peikai Wu
This paper proposes a framework that incorporates the two-way fixed effects model as a special case to conduct causal inference with a continuous treatment. Treatments are allowed…