5 papers
The Regression Discontinuity Design in Medical Science
Matias D. Cattaneo, Rocio Titiunik
This article provides an introduction to the Regression Discontinuity (RD) design, and its application to empirical research in the medical sciences. While the main focus of this a…
Leveraging Covariates in Regression Discontinuity Designs
Matias D. Cattaneo, Filippo Palomba
It is common practice to incorporate additional covariates in empirical economics. In the context of Regression Discontinuity (RD) designs, covariate adjustment plays multiple role…
rdhte: Conditional Average Treatment Effects in RD Designs
Sebastian Calonico, Matias D. Cattaneo, Max H. Farrell +2
Understanding causal heterogeneous treatment effects based on pretreatment covariates is a crucial aspect of empirical work. Building on Calonico, Cattaneo, Farrell, Palomba, and T…
Robust Inference for the Direct Average Treatment Effect with Treatment Assignment Interference
Matias D. Cattaneo, Yihan He, Ruiqi Rae Yu
This paper develops methods for uncertainty quantification in causal inference settings with random network interference. We study the large-sample distributional properties of the…
Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas
Matias D. Cattaneo, Ricardo P. Masini, William G. Underwood
We derive sharp upper and lower bounds for the pointwise concentration function of the maximum statistic of identically distributed real-valued random variables. Our first main…