This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by … our leading example, we model CATE by interacting the base treatment variable with explanatory variables. The first step … step, provided it learns the residuals well enough. Second, we construct an orthogonal (or residual) learner of CATE …

This paper provides estimation and inference methods for conditional average treatment effects (CATE) characterized by … our leading example, we model CATE by interacting the base treatment variable with explanatory variables. The first step … step, provided it learns the residuals well enough. Second, we construct an orthogonal (or residual) learner of CATE …

treatment effect (CATE). In this tutorial, we give an overview of novel methods, explain them in detail, and apply them via … designed to estimate the CATE like the causal BART and the generalized random forest. In both, the microcredit and 401(k …

treatment effect (CATE). In this tutorial, we give an overview of novel methods, explain them in detail, and apply them via … designed to estimate the CATE like the causal BART and the generalized random forest. In both, the microcredit and the 401(k …