Regression modelQuasi-experimental / causal inference
面板数据熵平衡
面板数据熵平衡将Hainmueller (2012) 的熵平衡方法扩展到纵向设置。它计算控制观测值的单位级别权重，使其协变量矩在面板期间与处理组的协变量矩精确匹配，然后将这些权重代入加权面板回归，以估计因果处理效应，而无需正确指定倾向得分模型。
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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. (2019). Covariate balancing propensity score by tailored loss functions. Annals of Statistics, 47(2), 965-993. DOI: 10.1214/18-AOS1698 ↗
如何引用本页
ScholarGate. (2026, June 3). Entropy Balancing for Panel Data. ScholarGate. https://scholargate.app/zh/causal-inference/panel-data-entropy-balancing
Which method?
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.
- 熵平衡因果推断↔ compare
- 面板数据双重差分法 (Panel DiD / TWFE)因果推断↔ compare
- 面板数据逆概率加权因果推断↔ compare
- 面板数据倾向得分匹配因果推断↔ compare
- 面板数据固定效应模型计量经济学↔ compare