Leaf-averaging fixed-effects causal forests compress CATE heterogeneity by a slope below one when fitted on panel data, and the paper characterizes this attenuation and shows an out-of-bag linear rescaling recovers most of the lost spread.
Estimating treatment effects with causal forests: An application
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
econ.EM 1years
2026 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Attenuated Heterogeneity in Fixed-Effects Causal Forests, and a Cross-Fitted Correction
Leaf-averaging fixed-effects causal forests compress CATE heterogeneity by a slope below one when fitted on panel data, and the paper characterizes this attenuation and shows an out-of-bag linear rescaling recovers most of the lost spread.