Causal Machine Learning for Economics Analysis

3 credits · Undergraduate

This course bridges machine learning (ML) techniques and causal inference methods to address primarily economic questions. It explores key ML concepts (penalized regression, regularization, cross-validation, and hyperparameter tuning), along with tree-based methods, and study their implementation in economic research. R-based labs allow students to combine ML with standard econometric tools for robust causal analysis and informed decision-making in economic applications. PREREQUISITES: ECON 3339.03 with minimum grade of C OR ECON 3338.03 OR STAT 3340.03 with minimum grades of B+ AND Permission from the Instructor. EXCLUSIONS: ECON 5450 FORMATS: Lecture | Lab