Econometric Modelling

Course code ECON3450
Not available in 2015

Description

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.

Availability

Not currently available.

Learning Outcomes

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

Content

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.
 

  1. Linear regression model with one regressor and hypothesis tests
  2. Linear regression with multiple regressors and hypothesis tests
  3. Non-linear regression functions
  4. Assessing studies based on multiple regression (model validation)
  5. Serial correlation
  6. Heteroskedasticity
  7. Simultaneous equations system, estimation and policy analysis
  8. Instrumental variables regression
  9. Time series analysis (VAR; cointegration; ARCH/GARCH modelling; etc)
  10. Regression with panel-data
  11. Regression with binary dependent-variable
  12. Advanced econometric theory of regression analysis

Assumed Knowledge

ECON1130

Assessment Items

In Term Test: Mid-semester test

Formal Examination: Final examination

Tutorial / Laboratory Exercises: Tutorial exercises

Project: Project Article review

Contact Hours

Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term