Double/Debiased Machine Learning for Treatment and Structural Parameters
V. Chernozhukov, D. Chetverikov, M. Demirer, E. Duflo, C. Hansen, W. Newey, J. Robins
ML
Causal Inference
Obtain valid inferential statements about a low-dimensional parameter (ATE/LATE) in the presence of potentially high-dimensional confounding using modern ML methods.
Program Evaluation and Causal Inference with High-Dimensional Data
A. Belloni, V. Chernozhukov, I. Fernandez-Val, C. Hansen
ML
Causal Inference
Estimators and honest confidence bands for a variety of treatment effects including local average (LATE) and average treatment effects (ATE) in data-rich environments.
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