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Heterogeneous Treatment Effect Regression Discontinuity Design/Evidence
Method evidence record

Heterogeneous Treatment Effect Regression Discontinuity Design

Heterogeneous Treatment Effect RDD extends the classic regression discontinuity framework to detect and estimate how the causal effect of crossing an assignment cutoff varies across subgroups or along covariates. Rather than reporting a single local average treatment effect at the threshold, HTE-RDD maps how treatment impact differs by individual characteristics, enabling richer policy conclusions about who benefits most or least from a threshold-based intervention.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Heterogeneous Treatment Effect Regression Discontinuity Design
Taxonomic method record · regression-model / causal-inference
  • Dong, Y., & Lewbel, A. (2015). Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models. Review of Economics and Statistics, 97(5), 1081-1092. · DOI 10.1162/REST_a_00510
  • Chiang, H. D., Hsu, Y.-C., & Sasaki, Y. (2019). Causal Inference by Quantile Regression Kink Designs. Journal of Econometrics, 210(2), 405-433. · DOI 10.1016/j.jeconom.2019.02.005
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketFuzzy Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketHeterogeneous Treatment Effect Difference-in-Differencesmachine-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

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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