8 Causal Forests

Readings

Estimating Treatment Effects with Causal Forests: An Application

Lecture

Examples illustrating causal forests in R and Python.

Lab

The objective of the lab is to identify treatment effect heterogeneity using a causal forest, combining the DHS data we’ve been working with and this file containing (simulated) data on treatment status and outcomes. See the guidance above for help implementing causal forests in R and Python. The templates for the lab are available here and here.