ECON 484 A: Econometrics and Data Science

Spring 2022
Meetings:
MW 5:30pm - 7:20pm / THO 135
W 7:30pm - 8:20pm / THO 325
SLN:
13673
Section Type:
Lecture
Instructor:
GO TO HTTP://ECON.WASHINGTON.EDU/ADD- CODE-REQUESTS-POLICY FOR ADD CODE INFO.
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 Met:
Natural Sciences (NSc)
Credits:
5.0
Status:
Active
Last updated:
February 22, 2024 - 11:12 pm