方法对比

	面板数据模糊回归不连续设计	面板数据回归断点设计
领域	因果推断	因果推断
方法族	Regression model	Regression model
起源年份	2001 (fuzzy RDD); panel extension circa 2011	1960 (original RDD); panel extension codified 2000s–2010s
提出者	Hahn, Todd & Van der Klaauw; extended to panel settings by Papay, Willett & Murnane and others	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work
类型	Quasi-experimental causal inference	Causal inference / quasi-experimental
开创性文献	Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Review of Economic Studies, 68(1), 201-209.	Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.
别名	Panel Fuzzy RDD, Panel FRD, Fuzzy RD with Panel Data, Panel Fuzzy RD	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD
相关	5	5
摘要	Panel Data Fuzzy Regression Discontinuity Design (Panel FRD) extends the fuzzy RDD framework to settings where multiple observations per unit are available over time. It exploits a probabilistic — rather than deterministic — threshold-crossing rule to identify a local average treatment effect (LATE) while controlling for unit-level and time-level fixed effects, sharpening identification in repeated-measures contexts.	Panel data regression discontinuity design (Panel RDD) combines the sharp local identification of a regression discontinuity with the within-unit variation available in repeated-observation panel data. Units are observed across multiple periods, and treatment is assigned based on whether a running variable crosses a known threshold. By leveraging both the discontinuity and panel structure, researchers can control for unobserved unit-level heterogeneity while estimating a causal treatment effect near the threshold.