Dr J Hirschberg 316-317 Econometrics and 316-318 Econometric Modelling or their equivalent. First semester Three hours a week of classes. On completion of this subject students should be able to:

• understand asymptotic theory as it applies to estimation and inference;
• apply estimation and inference techniques appropriate for systems of equations;
• conduct non-linear estimation;
• apply maximum likelihood techniques;
• estimate equations and test hypotheses using panel data;
• apply classical testing procedures;
• apply nested and non-nested tests of model specification;
• extend their knowledge of econometric techniques via independent study and by taking advanced subjects.

Appropriate estimation and inference techniques for models that involve a single equation and those involving systems of equations. Topics will include: asymptotic theory, maximum likelihood estimation, classical testing procedures, generalised least squares estimation, seemingly unrelated regression models, stochastic regressors, instrumental variables, simultaneous equations models and model-selection procedures. A 2-hour examination (70 per cent) and class assignments (30 per cent). Judge G C and Griffiths W G et. al. Introduction to the Theory and Practice of Econometrics 2nd edition, Wiley or Greene W Econometric Analysis Macmillan