CoDEAL imputes missing counterfactuals in staggered panel data using DNN covariate adjustment and multi-output autoencoder factors, then estimates unit-specific treatment effects.
Comparative politics and the synthetic control method
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Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
CoDEAL imputes missing counterfactuals in staggered panel data using DNN covariate adjustment and multi-output autoencoder factors, then estimates unit-specific treatment effects.