The course emphasis is on applications of econometrics and techniques in business analytics. Topics include methods of presenting data, numerical measures and correlation, estimation, linear/non-linear regression, limited dependent variables, simultaneous equations/instrumental variables, models of duration, and the use of these models in decision making processes. SAS business analytics software will be used in this course.

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00


Spring 2024 Semester
Course Title Instructor Campus Section Syllabus
Intro to Econometrics Adrian Austin, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource