NLP, Machine Learning, Causality, Editors Pick, Hands On Tutorials.
and CausalML for Econometrics: Causal Forests. The average treatment effect (ATE) is the difference in potential outcomes between the real world and the counterfactual world. Image by author. However, as mentioned, we are also concerned with confounding. To deal with confounders (Wᵢ), the backdoor