So sánh phương pháp

	Thiết kế Gián đoạn Hồi quy trong Nghiên cứu Giáo dục	Thiết kế gián đoạn hồi quy mờ
Lĩnh vực	Suy luận nhân quả	Suy luận nhân quả
Họ	Regression model	Regression model
Năm ra đời	1960 (origination); 1999-2010 (education economics canon)	2001
Người khởi xướng	Thistlethwaite & Campbell (1960); popularized in education economics by Angrist & Lavy (1999), Lee & Lemieux (2010)	Hahn, Todd & van der Klaauw
Loại	Quasi-experimental causal inference	Quasi-experimental causal inference
Công trình gốc	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.
Tên gọi khác	RDD in education, education RD design, sharp RDD education, score-cutoff design	Fuzzy RD, Fuzzy RDD, Fuzzy RD Design, Imperfect RDD
Liên quan	5	5
Tóm tắt	Regression discontinuity design (RDD) in education research exploits a score-based eligibility cutoff — such as a test score threshold, GPA requirement, or age cutoff — to estimate the causal effect of a program, intervention, or policy on student or school outcomes. Units just below and just above the cutoff are treated as near-randomly assigned, enabling credible causal inference without a randomized trial.	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.