Ã山ǿ¼é

ECON 662 Econometrics (6 credits)

Note: This is the 2012–2013 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Economics (Faculty of Arts)

Administered by: Graduate Studies

Overview

Economics (Arts) : A broad treatment of econometric methods, with particular reference to time series processes. Estimation of linear and non-linear models, GLS, IV, Maximum Likelihood, parametric specification testing for linear and non-linear hypotheses, diagnostic testing (autocorrelation, heteroskedasticity, normality, parameter constancy, etc.), modelling technique, non-stationary data processes.

Terms: Winter 2013, Fall 2012

Instructors: Galbraith, John W (Fall) Zinde-Walsh, Victoria (Winter)

Back to top