ECON 484
Econometrics and Data Science
Advanced continuation of ECON 482 and ECON 483. Traditional topics: structural modeling, non-linear and logistic regression, the LASSO, and non-traditional topics: regression and classification trees, bagging, boosting, and random forests. Computer based, uses the R language, emphasizing interpretation, not formal proofs. Prerequisite: ECON 482; MATH 126.
Topics
- structural modeling
- non-linear and logistic regression
- the LASSO
- and non-traditional topics: regression and classification trees
- bagging
- boosting
- and random forests
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05