537 citations · 887 across the 42 of their papers we have counts for
8 papers · 1 filter
Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay
Matias D. Cattaneo, Carlos Diaz, Rocio Titiunik
Learning about the immediate causal effects of large-scale policy interventions poses a significant challenge for quasi-experimental methods that rely on long-term trends or parame…
Protocols for Observational Studies: An Application to Regression Discontinuity Designs
Matias D. Cattaneo, Rocio Titiunik
In his 2022 IMS Medallion Lecture delivered at the Joint Statistical Meetings, Prof. Dylan S. Small eloquently advocated for the use of protocols in observational studies. We discu…
A Guide to Regression Discontinuity Designs in Medical Applications
Matias D. Cattaneo, Luke Keele, Rocio Titiunik
We present a practical guide for the analysis of regression discontinuity (RD) designs in biomedical contexts. We begin by introducing key concepts, assumptions, and estimands with…
A Practical Introduction to Regression Discontinuity Designs: Extensions
Matias D. Cattaneo, Nicolas Idrobo, Rocio Titiunik
This monograph, together with its accompanying first part Cattaneo, Idrobo and Titiunik (2020), collects and expands the instructional materials we prepared for more than shor…
scpi: Uncertainty Quantification for Synthetic Control Methods
Matias D. Cattaneo, Yingjie Feng, Filippo Palomba +1
The synthetic control method offers a way to quantify the effect of an intervention using weighted averages of untreated units to approximate the counterfactual outcome that the tr…
Covariate Adjustment in Regression Discontinuity Designs
Matias D. Cattaneo, Luke Keele, Rocio Titiunik
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…
Prediction Intervals for Synthetic Control Methods
Matias D. Cattaneo, Yingjie Feng, Rocio Titiunik
Uncertainty quantification is a fundamental problem in the analysis and interpretation of synthetic control (SC) methods. We develop conditional prediction intervals in the SC fram…
A Practical Introduction to Regression Discontinuity Designs: Foundations
Matias D. Cattaneo, Nicolas Idrobo, Rocio Titiunik
In this Element and its accompanying Element, Matias D. Cattaneo, Nicolas Idrobo, and Rocio Titiunik provide an accessible and practical guide for the analysis and interpretation o…