EC-450 Applied Econometrics
This course begins with a brief review of statistical methods, including probability theory, estimation, and hypothesis testing. This background is used in the construction, estimation, and testing of econometric models. The consequences of a misspecified model, where the assumptions of a classical regression model are violated, are studied and the appropriate remedial measures are suggested. Other topics include dummy variables, binary choice models, and autoregressive models. Emphasis is on applied aspects of econometric modeling. There is extensive use of statistical software for data analyses. Normally offered every semester.
Prerequisite
Student has completed any of the following course(s) MATH 255 - Probability and Statistics, STATS 240 - Introduction to Statistics, STATS 250 - Applied Statistics