ECON 245N: CAUSAL MACH LEARN

University of California, Santa Barbara

This course will bring students to the cutting edge in causal inference usi ng machine learning, giving them a solid theoretical understanding and read y-to-deploy tools for research. Using machine learning for estimation and i nference of treatment effects has become an important part of modern academ ic economics. Students will learn to implement deep learning and conduct se miparametric inference using double machine learning. Students in this cla ss will learn the theoretical underpinnings of this material as well as how to carefully and correctly apply the techniques in research. The course wil l prepare students for both theoretical and applied dissertation research.

Average GPA: 4.00

Grade distribution records: 25 students across 2 terms.

Grade distribution

Based on 25 student grade records across 2 terms and 1 professor.

Instructors

• Farrell M 25 students, Average GPA 4.00