Stata preconference short course

Modern causal inference and treatment-effect estimation using Stata

Instructor: Eduardo García Echeverri, Senior Econometrician, Communications

Date: Wednesday, 10 September 2025

Time: 9:00 a.m.–1:00 p.m. PT

Fee: $25

In this workshop, we introduce the methods used to study causal relationships between variables when analyzing observational rather than experimental data. We present a variety of treatment-effect estimators for cross-sectional and panel-data structures and discuss the assumptions under which each estimator is appropriate. Throughout the workshop, we cover the conceptual and theoretical foundations of causal inference and demonstrate the methods with many practical examples worked using Stata. We emphasize the latest developments in causal inference that have been incorporated into the software.

We cover the estimation of average treatment effects (ATE), average treatment effects on the treated (ATET), and conditional average treatment effects (CATE), among others. We also discuss the estimation of heterogeneous treatment effects using difference in differences. [Read more ...]

Eduardo García Echeverri

Senior Econometrician, Communications

Eduardo García Echeverri is a Senior Econometrician at StataCorp LLC. He holds a PhD in Economics from the University of Rochester and a master’s degree from Universidad de los Andes in Colombia. His research focuses on nonparametric and semiparametric methods in econometrics. At Stata, he produces documentation, develops webinars, and contributes to the development of new statistical features.