DiD-BCF adapts Bayesian Causal Forests to panel difference-in-differences, jointly estimating ATT, GATT, and CATT via a treatment-indicator reparameterization and warm-started MCMC.
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Forests for Differences: Robust Causal Inference Beyond Parametric DiD
DiD-BCF adapts Bayesian Causal Forests to panel difference-in-differences, jointly estimating ATT, GATT, and CATT via a treatment-indicator reparameterization and warm-started MCMC.