Causal Machine Learning . ECON 245N
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 howto carefully and correctly apply the techniques in research. The course will prepare students for both theoretical and applied dissertation research.
Prerequisites: Second year Ph.D. in Economics graduate student standing.
4
UnitsLetter
Grading1, 2, 3
PasstimeGraduate students only
Level LimitLetters and science
CollegeThese majors only econ esm
Instructors
FARRELL M
No info foundLecture
Enrollment Trends
Past Enrollment Trends (2)
Fall 2025 . Farrell M
NH 2111
M
W
12:30 PM - 13:45 PM
Spring 2024 . T B A
NH 2212
T
R
14:00 PM - 15:15 PM
Grading Trends (2)
ECON 245N
Farrell M
Fall 2025
Total: 11
ECON 245N
Farrell M
Spring 2024
Total: 14
David Silver
3.6
Ted Bergstrom
2.1
Heather Royer
3.9