Whether in government or business, econometric modelling techniques are used to generate results that aid strategic economic decision making in uncertain contexts. The Econometric Modelling course provides a thorough and critical coverage of all the modern econometric approaches to modelling time series and cross-section economic and business data and employs diagnostic testing of the estimated models. Students engage in selecting and applying appropriate techniques to solve problems, justifying and communicating conclusions using economic arguments, theories and models.
Not currently offered.
On successful completion of the course students will be able to:
1. Apply an extended understanding of a range of econometric modelling techniques;
2. Demonstrate skills in "hands-on" modelling, estimation and diagnostic testing, utilising economic and business data;
3. Critically analyse and evaluate the results of studies that have been undertaken by others using econometric techniques;
4. Engage in collaborative processes to complete econometric modelling inquiry, employing statistical techniques, analysing data and communicating results
Course contents include, but not restricted to, the following topics. Emphasis may vary from topic to topic. Selected topics may also vary from year to year.
- Linear regression model with one regressor and hypothesis tests
- Linear regression with multiple regressors and hypothesis tests
- Non-linear regression functions
- Assessing studies based on multiple regression (model validation)
- Serial correlation
- Simultaneous equations system, estimation and policy analysis
- Instrumental variables regression
- Time series analysis (VAR; cointegration; ARCH/GARCH modelling; etc)
- Regression with panel-data
- Regression with binary dependent-variable
- Advanced econometric theory of regression analysis
In Term Test: Mid-semester test
Formal Examination: Final examination
Tutorial / Laboratory Exercises: Tutorial exercises
Project: Project Article review