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Identification in two-score regression discontinuity designs with partial compliance

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  • Jiang, Weiwei
  • Zhu, Rong J.B.

Abstract

In two-score regression discontinuity designs, the identification framework is well established when treatment assignment follows strict dichotomization rules. However, in practice, compliance patterns may arise from mechanisms beyond these allocation rules, leading to partial compliance that the standard framework cannot accommodate. This paper proposes an extended identification framework and introduces a two-stage least squares (2SLS) estimand to address such cases. Our analysis reveals that the 2SLS estimand aggregates the average treatment effects of four distinct complier groups using non-negative weights.

Suggested Citation

  • Jiang, Weiwei & Zhu, Rong J.B., 2025. "Identification in two-score regression discontinuity designs with partial compliance," Economics Letters, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:ecolet:v:257:y:2025:i:c:s0165176525005051
    DOI: 10.1016/j.econlet.2025.112668
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    References listed on IDEAS

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    6. Matias D. Cattaneo & Rocio Titiunik & Ruiqi Rae Yu, 2025. "Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods," Papers 2510.26051, arXiv.org, revised May 2026.
    7. Matias D. Cattaneo & Rocio Titiunik & Ruiqi Rae Yu, 2025. "Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods," Papers 2505.05670, arXiv.org, revised May 2026.
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