Stata computer technology workshops (CTW)

Difference-in-differences models for causal inference in Stata

Instructor: Eduardo García Echeverri, Senior Econometrician, Communications

Date: Wednesday, 6 August 2025

Time: 8:30–10:15 a.m. CT

Fee: $60 to $75

Difference in differences (DID) is one of the most popular tools for causal inference in the social sciences. In this workshop, we introduce the different treatment-effect estimators based on the DID methodologies that are available in Stata. We cover the conceptual and theoretical foundations of DID models and demonstrate how to easily implement them with many practical examples using the software. [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.

Introduction to explainable machine learning using Stata

Instructor: Aramayis Dallakyan, Senior Statistician and Software Developer

Date: Wednesday, 6 August 2025

Time: 10:30 a.m.–12:15 p.m. CT

Fee: $60 to $75

Machine learning (ML) has become a powerful tool for modeling complex data and providing accurate predictions. However, the "black-box" nature of many ML models raises concerns about explainability and trustworthiness. Explainable machine learning (XML) enhances transparency and understanding of machine learning predictions, addressing these challenges. This workshop aims to provide a practical guide to XML techniques. [Read more ...]

Aramayis Dallakyan

Senior Statistician and Software Developer

Aramayis Dallakyan is a Senior Statistician and Software Developer at StataCorp LLC. His research interests lie at the intersection of high-dimensional time series, causal discovery, and statistical/machine learning. Aramayis has published articles in renowned journals, including the Journal of Graphical and Computational Statistics, the Journal of Computational Statistics and Data Analysis, and the Stata Journal. Prior to joining StataCorp, he earned a PhD in statistics from Texas A&M University.