3 papers
stat.ME2026
Difference-in-differences with stochastic policy shifts of a continuous treatment
Michael Jetsupphasuk, Chenwei Fang, Didong Li +1
Treatment effects of stochastic policy shifts quantify differences in outcomes across counterfactual scenarios with varying treatment distributions. Stochastic policy shifts may be…
stat.ME2026
Efficient nonparametric estimation with difference-in-differences in the presence of network dependence and interference
Michael Jetsupphasuk, Didong Li, Michael G. Hudgens
Differences-in-differences (DiD) is a causal inference method for observational longitudinal data that assumes parallel expected potential outcome trajectories between treatment gr…
stat.ME2025
Causal Inference in Longitudinal Data under Unknown Interference
Ye Wang, Michael Jetsupphasuk
In longitudinal studies where units are embedded in space or a social network, interference may arise, meaning that a unit's outcome can depend on treatment histories of others. Th…