Average Rating
Course Difficulty
Easy 0%
Medium 100%
Hard 0%
Not too easy. Not too difficult.
Course Overview:
The course also provides the background needed for more advanced theoretical and applied econometrics courses.
Course highlights:
OLS (testing and prediction), IV, Generalized Regression Models, 2 Step Regression, Linear Models for Panel Data, Non-linear regression, MLE, GMM, Quantile Regression, Bayesian Analysis, and Time Series.
Hours per week:
6-8 hours
Advice for students:
Prior statistics knowledge is very important in this course.