Heterogeneous Treatment Effects with Instrumental Variables: A Causal Machine Learning Approach

Problem Setting
In our forthcoming paper on Annals of Applied Statistics, we propose a new method – which we call Bayesian Causal Forest with Instrumental Variable (BCF-IV) – to interpretably discover the subgroups with the largest or smallest cau…