ECON 104: Data Science for Economists

Course Notes and Discussion Materials

Author

Jake Anderson

Published

March 3, 2026

Modified

March 4, 2026

Welcome to the course notes for ECON 104. I update these weekly to bridge the gap between the textbook, lecture notes, and exam problems.

Textbook

I follow the fifth edition of Principles of Econometrics by R. Carter Hill, William E. Griffiths, and Guay C. Lim (HGL). I reference their figures, pages, and examples when helpful.

Slides

Chapter Topic Slides
8 Heteroskedasticity
8 Heteroskedasticity PDF
9 Time Series
9 Time Series PDF
10 Endogeneity and IV
10 Omitted Variable Bias PDF
10 Measurement Error PDF
11 Simultaneous Equations
11 Simultaneous Equations PDF
15 Panel Data
15 Fixed Effects PDF
15 Random Effects PDF
15 Cluster-Robust SEs PDF
15 Dynamic Panels PDF
15 Hausman-Taylor PDF
16 Qualitative and Limited DVs
16 Overview PDF
16 Binary Choice PDF
16 Ordered Choice PDF
16 Multinomial Logit PDF
16 Count Data PDF
16 Tobit PDF
16 Heckman Selection PDF
17 Machine Learning
17 Regularization PDF
Discussion Problems
8 Ch. 8 Discussion PDF
9 Ch. 9 Discussion PDF
10 Ch. 10 Discussion PDF
11 Ch. 11 Discussion PDF
15 Ch. 15 Discussion PDF
16 Ch. 16 Discussion PDF

Acknowledgements

I thank all past TAs and instructors of Econ 104 at UCLA for their notes, problems, and shared resources. I hope this is helpful to future students and TAs. All errors are mine — please email me at jakeanderson@g.ucla.edu with corrections.