A Neyman-orthogonal, doubly robust meta-learner estimates the conditional average treatment effect on the treated in DiD panels via convex risk minimization, with extensions to covariate shift and IV-DiD.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Meta-learner for Heterogeneous Effects in Difference-in-Differences
A Neyman-orthogonal, doubly robust meta-learner estimates the conditional average treatment effect on the treated in DiD panels via convex risk minimization, with extensions to covariate shift and IV-DiD.