Econometrics: A Mathematical Approach

Undergraduate catalogue

Statistical analysis of economic data. The two-variable regression model, multiple regression. Techniques for dealing with violations of the regression model's assumptions, including autocorrelation, heteroscedasticity, specification error, and measurement error. Dummy variables, discrete-choice models, time series models, and forecasting. Introduction to simultaneous equations. Estimation and testing of economic models will be an important part of the course. Prerequisites: MAT 201 or equivalent and ECO 202 or equivalent or instructor permission. MAT 202 is recommended. Two 90-minute lectures, one precept.