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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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There is no overlap for the selected courses, professors, and filters.
There is no overlap for the selected courses, professors, and filters.
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Applied Econometrics
School of Economic, Political and Policy Sciences
This course investigates the consequences of relaxing the classical linear regression model assumptions and explores solutions when the assumptions do not hold. Topics include a review of the Ordinary Least Squares (OLS) basics (including the assumptions, hypothesis testing, multicolinearity, dummy variables and heteroskedasticity), model specification and selection, Generalized Least Squares (GLS), maximum likelihood estimation, binary choice models, simultaneous equation models, instrumental variables, time series and fixed and random effects models. 3 credit hours.
Offering Frequency: Each year
Grades: 121
Median GPA: A
Mean GPA: 3.714
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Applied Econometrics
School of Economic, Political and Policy Sciences
This course investigates the consequences of relaxing the classical linear regression model assumptions and explores solutions when the assumptions do not hold. Topics include a review of the Ordinary Least Squares (OLS) basics (including the assumptions, hypothesis testing, multicolinearity, dummy variables and heteroskedasticity), model specification and selection, Generalized Least Squares (GLS), maximum likelihood estimation, binary choice models, simultaneous equation models, instrumental variables, time series and fixed and random effects models. 3 credit hours.
Offering Frequency: Each year
Grades: 121
Median GPA: A
Mean GPA: 3.714
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