EC5212 - Introductory Econometrics
| Credit points: | 03 |
| Year: | 2015 |
| Student Contribution Band: | Band 3 |
| Administered by: | College of Business, Law & Governance |
This subject provides an introduction to econometrics and statistical foundations. Examples from a wide variety of disciplines will be given. The main focus is on the classical linear regression model. Topics include Matrix approach to a single equation linear models and their estimation and hypothesis testing; problems of model specification; multicolinearity, heteroskedasticity and autocorrelation problems and their solutions approaches. Computer programs for regression analysis. Extensive use of SHAZAM and/or Eviews econometric package.
Learning Outcomes
- have a comprehensive knowledge of econometric theory and technique at the intermediate level;
- have a general understanding of the fundamental framework for the study of econometric theory and applications at the advanced level.
| Assumed Knowledge: | Introductory subjects in Economics and Statistics |
| Inadmissible Subject Combinations: | BX3022 BX3122 EC2101 EC2413 EC3413 |
Availabilities | |
| Townsville, Internal, Study Period 2 | |
| Census Date 27-Aug-2015 | |
| Coord/Lect: | Dr Rabiul Beg. |
| Contact hours: |
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| Assessment: | end of semester exam (50%); quizzes or tests (30%); assignments (20%). |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.