Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 202)
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Year 4 Economics.
Credit points: 12.5
Coordinator: Dr J Hirschberg
Prerequisite: 316-317 Econometrics and 316-318 Econometric Modelling or their equivalent.
Contact: Three hours a week of classes.
Timetable: First semester
Objectives:
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.
Content:
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.
Assessment:
A 2-hour examination (70 per cent) and class assignments (30 per cent).
Prescribed texts:
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Handbook 1996 : Faculty of Economics and Commerce (Volume 3 page 202)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Economics, Faculty of Economics and Commerce.
Copyright © University of Melbourne 1995,1996.