7 papers
Spatial vertical regression for spatial panel data: Evaluating the effect of the Florentine tramway's first line on commercial vitality
Giulio Grossi, Alessandra Mattei, Georgia Papadogeorgou
Synthetic control methods are commonly used in panel data settings to evaluate the effect of an intervention. In many of these cases, the treated and control units correspond to sp…
Spatial causal inference in the presence of unmeasured confounding and interference
Georgia Papadogeorgou, Srijata Samanta
This manuscript unites causal inference and spatial statistics, presenting novel insights for causal inference in spatial data analysis, and drawing from tools in spatial statistic…
Identification and efficient estimation of compliance and network causal effects in cluster-randomized trials
Chao Cheng, Georgia Papadogeorgou, Fan Li
Treatment noncompliance is pervasive in infectious disease cluster-randomized trials. Although all individuals within a cluster are assigned the same treatment condition, the treat…
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…
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…
Bayesian inference for aggregated Hawkes processes
Lingxiao Zhou, Georgia Papadogeorgou
The Hawkes process, a self-exciting point process, has a wide range of applications in modeling earthquakes, social networks and stock markets. The established estimation process r…