方法证据记录
Policy Evaluation Entropy Balancing
Entropy balancing is a maximum-entropy reweighting method that assigns weights to control-group units so that their weighted covariate moments exactly match those of the treated group. Introduced by Hainmueller (2012), it provides exact balance on specified moments without iterative propensity-score trimming, making it a powerful preprocessing tool for causal policy evaluation in observational studies.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Entropy Balancing for Causal Policy Evaluation
分类方法记录 · regression-model / causal-inference
- Hainmueller, J. (2012). Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies. Political Analysis, 20(1), 25-46. · DOI 10.1093/pan/mpr025
- Zhao, Q., & Cooney, D. (2017). Entropy Balancing is Doubly Robust. Journal of Causal Inference, 5(1). · DOI 10.1515/jci-2016-0010
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。