Leveraging Covariates in Regression Discontinuity Designs

Fuente: arXiv
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Main Authors: Cattaneo, Matias D., Palomba, Filippo
Format: Preprint
Published: 2025
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author Cattaneo, Matias D.
Palomba, Filippo
author_facet Cattaneo, Matias D.
Palomba, Filippo
contents It is common practice to incorporate additional covariates in empirical economics. In the context of Regression Discontinuity (RD) designs, covariate adjustment plays multiple roles, making it essential to understand its impact on analysis and conclusions. Typically implemented via local least squares regressions, covariate adjustment can serve three main distinct purposes: (i) improving the efficiency of RD average causal effect estimators, (ii) learning about heterogeneous RD policy effects, and (iii) changing the RD parameter of interest. This article discusses and illustrates empirically how to leverage covariates effectively in RD designs.
format Preprint
id arxiv_https___arxiv_org_abs_2507_14311
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Leveraging Covariates in Regression Discontinuity Designs
Cattaneo, Matias D.
Palomba, Filippo
Econometrics
Applications
It is common practice to incorporate additional covariates in empirical economics. In the context of Regression Discontinuity (RD) designs, covariate adjustment plays multiple roles, making it essential to understand its impact on analysis and conclusions. Typically implemented via local least squares regressions, covariate adjustment can serve three main distinct purposes: (i) improving the efficiency of RD average causal effect estimators, (ii) learning about heterogeneous RD policy effects, and (iii) changing the RD parameter of interest. This article discusses and illustrates empirically how to leverage covariates effectively in RD designs.
title Leveraging Covariates in Regression Discontinuity Designs
topic Econometrics
Applications
url https://arxiv.org/abs/2507.14311