ECON 3230 Introduction to Econometrics

ECON 3230 Introduction to Econometrics
Introduction to Econometrics
A one semester introduction to econometric theory and practice. After a brief review of probability theory and descriptive and inferential statistics, we will lay the theoretical foundation for the most commonly used tool in applied economics: linear regression. Our study of linear regression will be based on the Gauss-Markov conditions. The final portion of the course will cover applications and special cases of linear regression. The course will make extensive use of the statistical software Stata.
Pre-requistites: Microeconomics, ECON 1010; A course in statistics.
credit hours: 4