Appendix

In this section, we discuss the unique characteristics of CATE estimation in more detail. As outlined in section 2, we consider three characteristics most important: 1. The need to rely on untestable assumptions. To infer causal effects from observational data, one needs to make strong untestable assumptions which ensure identifiability of a treatment effect and should be assessed by a domain expert in practice.