This course examines what happens when economic data do not satisfy the assumptions of the Classical Linear Regression Model. It explains why ordinary least squares methods are not appropriate in the presence of, for example, autocorrelation or heteroscedasticity, and how estimation techniques have to be modified to take these problems into account. Extensive use will be made of software packages like T.S.P. Lect: 3 hrs. Prerequisites: ECN 301 and (ECN 329 or QMS 442 or QMS 703) Course Weight: 1.00 Billing Units: 1
