# Covariate Adjustment in Regression Discontinuity Designs

arXiv: https://arxiv.org/abs/2110.08410 · HTML: https://mlsanity.com/paper/2110.08410/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Oct 2021.

## Built on by (most cited first, 1 of 1)

- [Data Augmentation for Imbalanced Regression](https://mlsanity.com/paper/2302.09288/) (2023)

## Abstract (arXiv)

The Regression Discontinuity (RD) design is a widely used non-experimental method for causal inference and program evaluation. While its canonical formulation only requires a score and an outcome variable, it is common in empirical work to encounter RD analyses where additional variables are used for adjustment. This practice has led to misconceptions about the role of covariate adjustment in RD analysis, from both methodological and empirical perspectives. In this chapter, we review the different roles of covariate adjustment in RD designs, and offer methodological guidance for its correct use.