Causal Machine Learning

Catalog description

This course will bring students to the cutting edge in causal inference using machine learning, giving them a solid theoretical understanding and ready-to-deploy tools for research. Using machine learning for estimation and inference of treatment effects has become an important part of modern academic economics. Students will learn to implement deep learning and conduct semiparametric inference using double machine learning. Students in this class will learn the theoretical underpinnings of this material as well as how to carefully and correctly apply the techniques in research. The course will prepare students for both theoretical and applied dissertation research.