Maskinlærings-augmenteret panel-eventstudie
Den maskinlærings-augmenterede panel-eventstudie udvider den klassiske panel-eventstudie ved at erstatte eller supplere parametriske kontrafaktiske modeller med maskinlæringsestimatormodeller — såsom LASSO, random forests eller matrix completion — for at konstruere mere nøjagtige præ-event baselines, detektere overtrædelser af parallelle trends og producere valide kausale effektestimater på tværs af flere post-event perioder.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Machine Learning-Augmented Panel Event Study Estimator. ScholarGate. https://scholargate.app/da/causal-inference/machine-learning-augmented-panel-event-study
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.
- Difference-in-Differences (Diff-in-Diff)Økonometri↔ compare
- Panel Data Fixed Effects ModelØkonometri↔ compare
- Syntetisk Kontrol Metode (SCM)Kausal inferens↔ compare
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