Causal Inference and Machine Learning. (3-0) 3 Credit Hours

Catalog description

Prerequisite: ECO 6103 or both ECO 3123 (or equivalent) and STA 6003 (or equivalent). An introduction to modern causal inference and machine learning methods with a focus on applications to economics and business. Topics may include the potential outcomes framework, randomized control trials, matching, regression discontinuity, instrumental variables, difference-in-difference, synthetic controls, bootstrapping, LASSO, random forests, and neural networks. This course has Differential Tuition.