# A Practical Introduction to Regression Discontinuity Designs: Foundations

arXiv: https://arxiv.org/abs/1911.09511 · HTML: https://mlsanity.com/paper/1911.09511/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Nov 2019.

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- [Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs](https://mlsanity.com/paper/2110.00921/) (2021)
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## Abstract (arXiv)

In this Element and its accompanying Element, Matias D. Cattaneo, Nicolas Idrobo, and Rocio Titiunik provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. In this Element, the authors discuss the foundations of the canonical Sharp RD design, which has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect. In the accompanying Element, the authors discuss practical and conceptual extensions to the basic RD setup.
