3 classes matched your search criteria.
ECON 4261 is also offered in Spring 2025
ECON 4261 is also offered in Fall 2024
ECON 4261 is also offered in Spring 2024
ECON 4261 is also offered in Fall 2023
ECON 4261 is also offered in Summer 2023
ECON 4261 is also offered in Spring 2023
ECON 4261 is also offered in Fall 2022
ECON 4261 is also offered in Summer 2022
ECON 4261 is also offered in Spring 2022
ECON 4261 is also offered in Fall 2021
ECON 4261 is also offered in Summer 2021
Spring 2021 | ECON 4261 Section 001: Introduction to Econometrics (49792)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- Completely Online
- Class Attributes:
Delivery Mode
Online Course
- Enrollment Requirements:
- Economics BS major
- Times and Locations:
Regular Academic Session
Tue,
Thu 09:45AM - 11:00AM
Off Campus
UMN REMOTE
- Enrollment Status:
Open (60 of 80 seats filled)
- Also Offered:
- Course Catalog Description:
- For Econ B.S. majors only. Review of basic linear regression model, its variants. Time series/simultaneous equation models. Material may include panel data, censored/truncated regressions, discrete choice models. prereq: [3101 or equiv], [[Math 1271, Math 1272] or equiv], Math 2243, Math 2263, [[Stat 4101, Stat 4102] or [Stat 5101, Stat 5102]]; Math 4242 strongly recommended
- Class Description:
- This is a required course for Economics B.S. majors. Students must have completed all prerequisites successfully PRIOR to taking this course. The course includes the basic linear regression model, time series analysis, panel data, discrete choice models. Computer applications (normally GAUSS is used).
- Exam Format:
- problems
- Class Format:
- 75% Lecture
25% Other Style Recitation discussion
- Workload:
- 40-50 Pages Reading Per Week
2 Exam(s)
- Textbooks:
- https://bookstores.umn.edu/course-lookup/49792/1213
- Instructor Supplied Information Last Updated:
- 4 September 2007
Spring 2021 | ECON 4261 Section 002: Introduction to Econometrics (49793)
- Instructor(s)
- Class Component:
- Discussion
- Class Attributes:
Delivery Mode
Online Course
- Times and Locations:
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (34 of 40 seats filled)
- Course Catalog Description:
- For Econ B.S. majors only. Review of basic linear regression model, its variants. Time series/simultaneous equation models. Material may include panel data, censored/truncated regressions, discrete choice models. prereq: [3101 or equiv], [[Math 1271, Math 1272] or equiv], Math 2243, Math 2263, [[Stat 4101, Stat 4102] or [Stat 5101, Stat 5102]]; Math 4242 strongly recommended
- Class Description:
- This is a required course for Economics B.S. majors. Students must have completed all prerequisites successfully PRIOR to taking this course. The course includes the basic linear regression model, time series analysis, panel data, discrete choice models. Computer applications (normally GAUSS is used).
- Exam Format:
- problems
- Class Format:
- 75% Lecture
25% Other Style Recitation discussion
- Workload:
- 40-50 Pages Reading Per Week
2 Exam(s)
- Textbooks:
- https://bookstores.umn.edu/course-lookup/49793/1213
- Instructor Supplied Information Last Updated:
- 4 September 2007
Spring 2021 | ECON 4261 Section 004: Introduction to Econometrics (50554)
- Instructor(s)
- Class Component:
- Discussion
- Class Attributes:
Delivery Mode
Online Course
- Times and Locations:
- Auto Enrolls With:
- Section 001
- Enrollment Status:
Open (26 of 40 seats filled)
- Course Catalog Description:
- For Econ B.S. majors only. Review of basic linear regression model, its variants. Time series/simultaneous equation models. Material may include panel data, censored/truncated regressions, discrete choice models. prereq: [3101 or equiv], [[Math 1271, Math 1272] or equiv], Math 2243, Math 2263, [[Stat 4101, Stat 4102] or [Stat 5101, Stat 5102]]; Math 4242 strongly recommended
- Class Description:
- This is a required course for Economics B.S. majors. Students must have completed all prerequisites successfully PRIOR to taking this course. The course includes the basic linear regression model, time series analysis, panel data, discrete choice models. Computer applications (normally GAUSS is used).
- Exam Format:
- problems
- Class Format:
- 75% Lecture
25% Other Style Recitation discussion
- Workload:
- 40-50 Pages Reading Per Week
2 Exam(s)
- Textbooks:
- https://bookstores.umn.edu/course-lookup/50554/1213
- Instructor Supplied Information Last Updated:
- 4 September 2007
ClassInfo Links - Spring 2021 Economics Classes