Skip to content

Part 3 · Course

SS368 ECONOMETRICS I

Social Sciences · 5 versions

Offerings are listed from 2027-1 Fall through 2031-1 Fall.

SS368 ECONOMETRICS I

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 2027-1
  • In effect
Scope
This course is designed to teach students how to quantify, test, and employ economic theories as they are used in real world applications. The course covers the use of economic theory and data in the construction, estimation, and interpretation of econometric models. Special emphasis is placed on estimation of parameters of economic models and statistical inference using estimated models to determine the validity of economic theories. The primary mathematical tool employed in the course is multiple regression analysis. A number of applications demonstrate the use of the techniques studied.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
Computer lab exercises conducted during regular class periods.
Prerequisites
one of
Corequisites
all of MA367, SS201
SS368 version 2027-1 offerings
Term Sections Section size Capacity Enrolled Wait list Seats Closed Details
2027-1 Fall 2 18 36 27 0 9 No Hours for 2027-1 Fall
2027-2 Spring 2 18 36 26 0 10 No Hours for 2027-2 Spring
2028-1 Fall 2 18 36 29 3 7 No Hours for 2028-1 Fall
2028-2 Spring 2 18 36 15 0 21 No Hours for 2028-2 Spring
2029-1 Fall 2 18 36 1 2 35 Yes Hours for 2029-1 Fall
2029-2 Spring 2 16 32 1 0 31 No Hours for 2029-2 Spring

SS368 ECONOMETRICS I

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 2024-1
  • Archived
Scope
This course is designed to teach students how to quantify, test, and employ economic theories as they are used in real world applications. The course covers the use of economic theory and data in the construction, estimation, and interpretation of econometric models. Special emphasis is placed on estimation of parameters of economic models and statistical inference using estimated models to determine the validity of economic theories. The primary mathematical tool employed in the course is multiple regression analysis. A number of applications demonstrate the use of the techniques studied.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
Computer lab exercises conducted during regular class periods.
Prerequisites
one of
Corequisites
MA367

SS368 ECONOMETRICS I

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 2019-2
  • Archived
Scope
This course is designed to teach students how to quantify, test, and employ economic theories as they are used in real world applications. The course covers the use of economic theory and data in the construction, estimation, and interpretation of econometric models. Special emphasis is placed on estimation of parameters of economic models and statistical inference using estimated models to determine the validity of economic theories. The primary mathematical tool employed in the course is multiple regression analysis. A number of applications demonstrate the use of the techniques studied.
Lessons
30 @ 75 min (2.000 Att/wk)
Labs
0 @ 0 min
Special requirements
Computer lab exercises conducted during regular class periods.
Prerequisites
one of

SS368 ECONOMETRICS I

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 2018-1
  • Archived
Scope
This course is designed to teach students how to quantify, test, and employ economic theories as they are used in real world applications. The course covers the use of economic theory and data in the construction, estimation, and interpretation of econometric models. Special emphasis is placed on estimation of parameters of economic models and statistical inference using estimated models to determine the validity of economic theories. The primary mathematical tool employed in the course is multiple regression analysis. A number of applications demonstrate the use of the techniques studied.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Computer lab exercises conducted during regular class periods.
Prerequisites
one of

SS368 ECONOMETRICS I

  • 3.0 credit hours
  • (BS=0.0, ET=0.0, MA=0.0)
  • Version 1989-2
  • Archived
Scope
This course is designed to teach students how to quantify, test, and employ economic theories as they are used in real world applications. The course covers the use of economic theory and data in the construction, estimation, and interpretation of econometric models. Special emphasis is placed on estimation of parameters of economic models and statistical inference using estimated models to determine the validity of economic theories. The primary mathematical tool employed in the course is multiple regression analysis. A number of applications demonstrate the use of the techniques studied.
Lessons
40 @ 55 min (2.500 Att/wk)
Labs
0 @ 0 min
Special requirements
Computer lab exercises conducted during regular class periods.
Prerequisites
MA206