26 hours lectures, 24 hours tutorials. Semester 1.
Matrix approach to single equation linear models and their estimation and hypotheses testing; problems of model specification; multicollinearity, heteroskedasticity and autocorrelation problems and their solution approaches. Dummy variable models. Computer programs for regression analysis.
Learning Objectives:
have a comprehensive knowledge of econometric theory and technique at the intermediate level;
have a general understanding of the fundamental framework for the study of econometric theory and applications at the advanced level.
Assessment by assignments (20%); end-of-semester formal examination (80%).
