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Econometric Methods - ECON333

The objective of this higher-level econometrics unit is to provide students with an opportunity to acquire more advanced econometric techniques that can be applied to an empirical analysis of economic, financial, or business phenomena. The unit is suitable both for students who simply want to equip themselves with a more practical knowledge of econometrics and to those planning to pursue a research degree.

To expose students to a broad and more complete range of econometric issues, this unit may include topics such as a review of the multiple regression model and OLS estimation, matrix algebra, GLS estimation, endogenous regressors and consistent estimation, maximum-likelihood estimation, discrete choice models, treatment effects, multivariate time-series models (VECM), and models for panel data.

Real-world examples, such as analysing people’s choice of mobile phone brands, patterns of crediting rating, or the effectiveness of a medical treatment, are used to illustrate particular techniques. The use of econometric software programs such as Gretl and Shazam provide a practical problem-solving experience.

Credit Points: 3
When Offered:

S1 Day - Session 1, North Ryde, Day

Staff Contact(s): Dr Daehoon Nahm

(6cp at 200 level including ECON232 or ECON233) or ECON334 Prerequisite Information


Unit Designation(s):



Unit Type:
Assessed As: Graded
Offered By:

Department of Economics

Faculty of Business and Economics

Course structures, including unit offerings, are subject to change.
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