Leveraging covariates in regression discontinuity designs

Matias Cattaneo and Filippo Palomba
Additional contact information
Filippo Palomba: Princeton University, US

World of Labour, 2025, No 521, 521

Abstract: 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.

Keywords: Causal inference; treatment effect estimation; regression discontinuity; covariate adjustment; Head Start (search for similar items in EconPapers)
JEL-codes: C14 C18 C21 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://wol.iza.org/articles/leveraging-covariates ... iscontinuity-designs (text/html)

Related works:
Working Paper: Leveraging Covariates in Regression Discontinuity Designs (2025)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izawol:journl:2025:n:521

Access Statistics for this article

World of Labour is currently edited by Pierre Cahuc

More articles in World of Labour from LISER Contact information at EDIRC.
Bibliographic data for series maintained by Olga Nottmeyer ().