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Heterogeneous Treatment Effect Fuzzy Regression Discontinuity/Evidence
Method evidence record

Heterogeneous Treatment Effect Fuzzy Regression Discontinuity

Heterogeneous Treatment Effect Fuzzy RDD extends the standard fuzzy regression discontinuity design — where treatment probability, not treatment status itself, jumps at a threshold — by examining whether the Local Average Treatment Effect (LATE) estimated at the threshold differs systematically across subgroups defined by covariates such as gender, socioeconomic status, or prior ability. It combines the instrumental-variable logic of fuzzy RDD with structured heterogeneity analysis.

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Heterogeneous Treatment Effect Estimation in Fuzzy Regression Discontinuity Design
Taxonomic method record · regression-model / causal-inference
  • Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Econometrica, 69(1), 201-209. · DOI 10.1111/1468-0262.00183
  • Calonico, S., Cattaneo, M. D., & Titiunik, R. (2014). Robust Nonparametric Confidence Intervals for Regression-Discontinuity Designs. Econometrica, 82(6), 2295-2326. · DOI 10.3982/ECTA11757
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Related methods

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Taxonomic bucketFuzzy Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketHeterogeneous Treatment Effect Regression Discontinuity Designmachine-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.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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