手法を比較

	パネルデータ回帰不連続デザイン	Fuzzy Regression Discontinuity Design
分野	因果推論	因果推論
系統	Regression model	Regression model
提唱年	1960 (original RDD); panel extension codified 2000s–2010s	2001
提唱者	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work	Hahn, Todd & van der Klaauw
種類	Causal inference / quasi-experimental	Quasi-experimental causal inference
原典	Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.	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.
別名	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD	Fuzzy RD, Fuzzy RDD, Fuzzy RD Design, Imperfect RDD
関連	5	5
概要	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.	Fuzzy Regression Discontinuity Design (Fuzzy RDD) estimates causal effects when eligibility for a treatment is determined by a threshold on a running variable but actual take-up of that treatment is imperfect — some eligible units do not receive treatment and some ineligible units do. The cutoff acts as an instrument, and the estimand is a Local Average Treatment Effect (LATE) for compliers near the threshold.