Covariate Selection for Doubly Robust Double/debiased Machine Learning Estimators for Causal Inference

High-dimensional data create challenges for causal effect estimation because identifying the covariates needed for correct model specification becomes increasingly difficult. Double/debiased machine learning (DML) facilitates the use of machine learning (ML) for causal inference by mitigating regula