Variable importance for causal forests: breaking down the heterogeneity of treatment effects

Clément Bénard, Julie Josse

Causal random forests provide efficient estimates of heterogeneous treatment effects. However, forest algorithms are also well-known for their black-box nature, and therefore, do n…