TTh 10:30am–11:45am · M 1:10pm–3:00pm
2 distinct times across 2 sections.
1 of 2 sections have room
Description
This course introduces students to multiple regression methods for analyzing data in economics and related disciplines. Extensions include regression with discrete random variables, instrumental variables regression, analysis of random experiments and quasi-experiments, and regression with time series data. The objective of the course is for the student to learn how to conduct and critique empirical studies in economics and related fields. Accordingly, the emphasis of the course is on empirical applications. The mathematics of econometrics will be introduced only as needed and will not be a central focus.
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Sections2
- 27 of 45 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 0–4 credits
Reported workload
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