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.
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Two-way factor-augmented panel estimators consistently recover a variance-weighted average of unit-time-specific treatment effects when the number of factors grows with sample size.
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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.
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Factor-Augmented Panel Regressions and Variance-Weighted Treatment Effects
Two-way factor-augmented panel estimators consistently recover a variance-weighted average of unit-time-specific treatment effects when the number of factors grows with sample size.