Regression modelQuasi-experimental / causal inference

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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Sources

  1. 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
  2. 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

Related methods

ScholarGateHeterogeneous Treatment Effect Fuzzy Regression Discontinuity (Heterogeneous Treatment Effect Estimation in Fuzzy Regression Discontinuity Design). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/heterogeneous-treatment-effect-fuzzy-regression-discontinuity