A regime-adaptive projection wild bootstrap achieves uniform validity for two-way clustered regression inference across four feasible asymptotic regimes while permitting serial and spatial dependence.
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HSC jointly estimates donor weights and a treated-unit-specific smooth residual, then extrapolates the residual via a forecaster with a cross-validated tuning parameter that interpolates between differenced and raw synthetic control.
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Bootstrap Inference under General Two-way Clustering with Serially and Spatially Dependent Common Effects
A regime-adaptive projection wild bootstrap achieves uniform validity for two-way clustered regression inference across four feasible asymptotic regimes while permitting serial and spatial dependence.
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The Harmonic Synthetic Control Method
HSC jointly estimates donor weights and a treated-unit-specific smooth residual, then extrapolates the residual via a forecaster with a cross-validated tuning parameter that interpolates between differenced and raw synthetic control.
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