Disentangling spatial interference and spatial confounding biases in causal inference
arXiv preprint arXiv:2602.02777 (2026)
Preprint
Links: arXiv
Summary. Develops methods to separately identify and correct for spatial interference (treatment effects spilling over to neighbours) and spatial confounding (unmeasured spatially structured covariates) in causal inference with geo-referenced data, settings where these two biases commonly co-occur.