Regression modelQuasi-experimental / causal inference
机器学习增强面板事件研究
机器学习增强面板事件研究通过用机器学习估计器（如LASSO、随机森林或矩阵补全）替代或增强参数反事实模型，扩展了经典面板事件研究。这有助于构建更准确的事件前基线，检测平行趋势的违反，并在多个事件后时期内产生有效的因果效应估计。
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来源
- Chernozhukov, V., Wuthrich, K., & Zhu, Y. (2021). An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls. Journal of the American Statistical Association, 116(536), 1849-1864. DOI: 10.1080/01621459.2021.1920957 ↗
- Freyaldenhoven, S., Hansen, C., & Shapiro, J. M. (2019). Pre-event Trends in the Panel Event-Study Design. American Economic Review, 109(9), 3307-3338. DOI: 10.1257/aer.20180609 ↗
如何引用本页
ScholarGate. (2026, June 3). Machine Learning-Augmented Panel Event Study Estimator. ScholarGate. https://scholargate.app/zh/causal-inference/machine-learning-augmented-panel-event-study
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