Estimating and evaluating treatment effect heterogeneity: A causal forests approach
In this paper, we introduce the causal forests method (Athey et al., 2019) and illustrate how to apply it in social sciences to addressing treatment effect heterogeneity. Compared with existing parametric methods such as the multiplicative interaction model and traditional semi-/non-parametric estim...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-01-01
|
| Series: | Research & Politics |
| Online Access: | https://doi.org/10.1177/20531680231153080 |