ECON3370 · Economics
Morrissey College of Arts & Sciences
This is an advanced econometrics/data analytics course and extends ECON2228. Selected topics include linear and non-linear least squares estimation as well as maximum likelihood estimation, including logit/probit, ordered logit/probit and poisson/negative binomial count regression models. A term-long research project is an important part of the course and will entail in-class presentations as well as a submission at the end of the semester. The analytics in the course will be Stata-based, but students in doing their own work, should feel free to work in R, SAS, Python, or whatever their statistical language of choice might be. Limited enrollment.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.7 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.8 / 5
How necessary attendance was
Assignments
4.8 / 5
How helpful assignments were
Weekly effort
~5.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
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Across time
Available section-level results across semesters.
Fall 2024
1 sectionFall 2023
1 sectionFall 2022
1 sectionSpring 2022
1 section