rd2d: Estimation and Inference for Boundary Discontinuity Designs
Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs,
a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores.
Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs,
data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in
Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and
Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods.
For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>.
The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>.
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