B.A. in Economics, B.S. in Economics, B.S. in Economics and Statistics, B.S. in Economics and Mathematical Sciences, Additional Major in Economics, Additional Major in Economics and Statistics, Required
This course takes as its starting point ordinary-least-squares estimation and the linear regression model, which are presented utilizing vector and matrix notation. This is followed by the application of OLS to non-linear models. Cases are then considered where the various assumptions of OLS do not hold and what corrective actions should be taken. Topics include: nonlinear-least-squares, two-stage estimation, instrumental variables, simultaneous equations, maximum likelihood estimation, and logit/probit models. Minimum grade standard of "C" applies only to economics courses. Note: This course will be retired after the Fall 2015 semester. Beginning in Spring 2016 semester, a new econometrics sequence will be offered.
Lecture: 160 min/wk and Recitation: 50min/wk
J.M. Wooldridge,"Introductory Econometrics: A Modern Approach" (4th edition), South-Western, 2008.