• Corpus ID: 239016213

Covariate Adjustment in Regression Discontinuity Designs

@inproceedings{Cattaneo2021CovariateAI,
  title={Covariate Adjustment in Regression Discontinuity Designs},
  author={M. D. Cattaneo and Luke J. Keele and Rocı́o Titiunik},
  year={2021}
}
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 implementations 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… 
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