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Fuzzy Regression Discontinuity in Education Research/Ushahidi
Rekodi ya ushahidi wa mbinu

Fuzzy Regression Discontinuity in Education Research

Fuzzy Regression Discontinuity Design (Fuzzy RDD) is a quasi-experimental causal method that exploits a known score threshold — such as a test cutoff — to estimate the effect of a program or intervention when assignment is imperfect. Widely used in education research to evaluate summer school, remedial programs, scholarships, and class-size rules, it uses two-stage least squares to recover a local average treatment effect for students near the threshold.

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Fuzzy Regression Discontinuity Design in Education Research
Rekodi ya mbinu ya kiajenda · regression-model / causal-inference
  • 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
  • Jacob, B. A., & Lefgren, L. (2004). Remedial education and student achievement: A regression-discontinuity analysis. Review of Economics and Statistics, 86(1), 226-244. · DOI 10.1162/003465304323023778
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Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Same method familyLocal Average Treatment Effectmachine-suggested · Relational suggestion, not evidence.See alsoPropensity Score Matchingmachine-suggested · Relational suggestion, not evidence.

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