Develops design-based causal inference methods for spatial treatments using counterfactual candidate locations, extends double ML for spatial correlations, and applies to grocery store effects on foot traffic.
arXiv preprint arXiv:2010.13599 , year=
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Develops design-based inference for group interaction experiments, showing cluster-robust inference is consistent under interference in sparse-sampling asymptotics and reduces to individual randomization when interference is absent.
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Causal Inference for Spatial Treatments
Develops design-based causal inference methods for spatial treatments using counterfactual candidate locations, extends double ML for spatial correlations, and applies to grocery store effects on foot traffic.