Regression modelQuasi-experimental / causal inference
熵平衡
熵平衡是一种因果推断的预处理方法，它为对照组单元分配权重，使重加权后的对照样本在选定的协变量矩（均值、方差、偏度）上与处理组精确匹配。该方法由Hainmueller（2012）提出，用约束最大熵优化取代了试错式的倾向得分修剪，一步实现平衡。
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来源
- 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., & Coey, D. (2017). Entropy balancing is doubly robust. Journal of Causal Inference, 5(1). (Working paper version widely cited; see also Zhao & Coey 2018, Stanford GSB Research Paper.) link ↗
如何引用本页
ScholarGate. (2026, June 3). Entropy Balancing for Causal Effects. ScholarGate. https://scholargate.app/zh/causal-inference/entropy-balancing
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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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