Regression model
回归断点设计 (Regression Discontinuity Design, RDD)
回归断点设计 (RDD) 是一种准实验方法,用于估计阈值(断点)值附近的局部因果效应,将断点两侧的单元(单位)进行比较,如同它们几乎是随机分配的一样。这是 Imbens 和 Lemieux (2008) 以及 Lee 和 Lemieux (2010) 为实际应用开发的设计。
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。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI: 10.1016/j.jeconom.2007.05.001 ↗
- Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. DOI: 10.1017/9781108684606 ↗
- Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355. DOI: 10.1257/jel.48.2.281 ↗
如何引用本页
ScholarGate. (2026, June 1). Regression Discontinuity Design (RDD). ScholarGate. https://scholargate.app/zh/econometrics/rdd
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.
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 因果推断的工具变量(IV)方法卫生经济学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- 面板数据固定效应模型计量经济学↔ compare
- 倾向得分匹配研究统计学↔ compare