方法证据记录
Heterogeneous Treatment Effect Sensitivity Analysis for Causality
Heterogeneous Treatment Effect Sensitivity Analysis examines how robust subgroup-specific causal estimates are to unobserved confounding. Rather than testing a single average treatment effect, it asks whether the estimated variation in treatment effects across units or subgroups could be explained away by hidden bias, and at what level of hidden bias the causal conclusions for each subgroup would break down.
源记录
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Sensitivity Analysis for Causality under Heterogeneous Treatment Effects
分类方法记录 · regression-model / causal-inference
- Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. · ISBN 978-0387989679
- Crump, R. K., Hotz, V. J., Imbens, G. W., & Mitnik, O. A. (2008). Nonparametric tests for treatment effect heterogeneity. Review of Economics and Statistics, 90(3), 389-405. · DOI 10.1162/rest.90.3.389
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