ECON 484 A: Econometrics and Data Science

Meetings: 
MW 5:30pm - 7:20pm / SAV 264
W 7:30pm - 8:20pm / SAV 264
SLN: 
13371
Instructor:
Greg Duncan
Gregory M Duncan
Catalog Description: 
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.
GE Requirements: 
Natural World (NW)
Credits: 
5.0
Status: 
Active
Last updated: 
February 28, 2020 - 9:12pm