Regression modelQuasi-experimental / causal inference
异质性处理效应倾向得分匹配
异质性处理效应倾向得分匹配（Heterogeneous Treatment Effect Propensity Score Matching, HTE-PSM）将标准的倾向得分匹配（Propensity Score Matching, PSM）方法进行扩展，以估计处理效应在不同亚组或个体特征上的变异情况。它不报告单一的平均处理效应，而是利用匹配样本估计条件平均处理效应（Conditional Average Treatment Effect, CATE），揭示哪些类型的单元从处理中获益最多或最少。
在 MethodMind 中打开即将推出Apply, compare, get guidance
Tools & resources
Learn & explore
视频即将推出
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- Athey, S., & Imbens, G. W. (2016). Recursive Partitioning for Heterogeneous Causal Effects. Proceedings of the National Academy of Sciences, 113(27), 7353-7360. DOI: 10.1073/pnas.1510489113 ↗
- Rosenbaum, P. R., & Rubin, D. B. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika, 70(1), 41-55. DOI: 10.1093/biomet/70.1.41 ↗
如何引用本页
ScholarGate. (2026, June 3). Heterogeneous Treatment Effect Estimation via Propensity Score Matching. ScholarGate. https://scholargate.app/zh/causal-inference/heterogeneous-treatment-effect-propensity-score-matching
选用哪种方法？
将本方法与其最相近的同类并置，并排研读——本馆将书籍铺陈于案上，取舍则由您定夺。
- 双重差分法 (Diff-in-Diff)计量经济学↔ 比较
- 双重稳健估计（AIPW）因果推断↔ 比较
- 异质性处理效应双重差分法 (HTE-DiD)因果推断↔ 比较
- 匹配估计量因果推断↔ 比较
- 倾向得分匹配研究统计学↔ 比较
被引用于
Similar methods
Heterogeneous Treatment Effect Matching EstimatorHeterogeneous Treatment Effect Coarsened Exact MatchingHeterogeneous Treatment Effect Inverse Probability WeightingHeterogeneous Treatment Effect Entropy BalancingHeterogeneous treatment effect Counterfactual impact evaluationHeterogeneous Treatment Effect Marginal Structural ModelHeterogeneous treatment effect Doubly robust estimationPropensity Score Weighting