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Spring 2027

4 courses

ECON 695

Topics in Economic Data Analysis

3–4 credits

Advanced topics in using data to answer economic questions, focusing on interpreting empirical papers and applying econometric methods to real data.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2023: 3.76 GPA, 86.7% A/AB (n=45 letter grades); Spring 2025: 3.75 GPA, 82.5% A/AB (n=40 letter grades); Spring 2026: 3.84 GPA, 95.1% A/AB (n=41 letter grades).

Matt FriedmanHarold Chiang+1 more

historical GPA · grades

Spring 2023–Spring 2026
ECON 710

Economic Statistics and Econometrics II

3–4 credits

Economic Statistics and Econometrics II covers extensions of the linear regression model and introduces multiple equation models.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2024: 3.54 GPA, 72.9% A/AB (n=48 letter grades); Spring 2025: 3.56 GPA, 75.0% A/AB (n=44 letter grades); Spring 2026: 3.62 GPA, 80.0% A/AB (n=30 letter grades). Includes jointly taught sections.

Bruce HansenHarold Chiang

historical GPA · grades

Spring 2023–Spring 2026
ECON 725

Machine Learning for Economists

3 credits

Machine Learning for Economists introduces ML techniques for economic analysis, focusing on supervised/unsupervised learning, large data analysis, and causal inference methods using R.

Offering recorded · Spring 2027 · Sources

Harold Chiang

historical GPA · grades

Fall 2022–Spring 2026

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