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stat.ME2026
Dynamic Policy Evaluation and Learning with Spatio-temporal Data
Lingxiao Zhou, Kosuke Imai, Jason Lyall +1
Although sequential decision-making is ubiquitous across domains, policy evaluation and learning with spatio-temporal data remain challenging due to spatial spillover and temporal…
stat.ME2025
Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
Mitsuru Mukaigawara, Kosuke Imai, Jason Lyall +1
Social scientists now routinely draw on high-frequency, high-granularity ''microlevel'' data to estimate the causal effects of subnational interventions. To date, most researchers…
stat.ME2024
Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
Lingxiao Zhou, Kosuke Imai, Jason Lyall +1
Scholars from diverse fields increasingly rely on high-frequency spatio-temporal data. Yet, causal inference with these data remains challenging due to spatial spillover and tempor…