2 classes matched your search criteria.

Spring 2018  |  APEC 3003 Section 001: Introduction to Applied Econometrics (53449)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Tue, Thu 10:15AM - 11:30AM
UMTC, St Paul
Ruttan Hall B26
Enrollment Status:
Closed (25 of 25 seats filled)
Also Offered:
Course Catalog Description:
Econometrics is the core empirical methodology used in economics. It allows economists (and others) to learn about the world through data in non-experimental situations. This course teaches student how to use common types of econometric analysis to answer research questions in an experiential learning environment. prereq: APEC 1101 or equiv., STAT 3011 or equiv.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/53449/1183

Spring 2018  |  APEC 3003 Section 002: Introduction to Applied Econometrics (53450)

Instructor(s)
Class Component:
Laboratory
Credits:
4 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/16/2018 - 05/04/2018
Fri 09:35AM - 10:25AM
UMTC, St Paul
Coffey Hall 50
Enrollment Status:
Closed (25 of 25 seats filled)
Also Offered:
Course Catalog Description:
Econometrics is the core empirical methodology used in economics. It allows economists (and others) to learn about the world through data in non-experimental situations. This course teaches student how to use common types of econometric analysis to answer research questions in an experiential learning environment. prereq: APEC 1101 or equiv., STAT 3011 or equiv.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/53450/1183

ClassInfo Links - Spring 2018 Applied Economics Classes Taught by Joe Ritter

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