Econometrics is a sub-discipline of both statistics and economics and presents one interface between statistical theory and the real world. It provides the tools with which to test hypotheses and to generate forecasts of business activity. Topics include the classical regression model, remedial measures for violation of regression assumptions, binary choice models, panel data models and their applications. The technique such as hypothesis testing and its application will allow students to specialise in areas such as market research and other disciplines. The skills that students will develop in this subject are crucial in any applied work and will constitute an essential ingredient in most jobs in the field of business application, whether in the public or private sector.
|Bond Business School|
- September 2017 [Standard]
- January 2018 [Standard]
- May 2018 [Standard]
- September 2018 
|Available to Study Abroad students|
- Commencing in 2017: $4,405
- Commencing in 2018: $4,591
1. Understand the Classical Linear Regression Model, its maintained assumptions and relevant properties. This model is by far the most frequently used by researcher in many disciplines such as Accounting, Economics, Finance, Marketing and Management and among others to analyse the behaviour of the variables of interest in their relevant disciplines.
2. Apply the Classical Regression Models to decision making problems for the purpose of hypothesis testing and prediction.
3. Learn how to determine, vis-a-vis diagnostic statistics, when the maintained assumptions of the Classical Linear Regression Model are violated and how to address the violations so that correct statistical inference can be drawn.
4. Use econometrics package EVIEWS most frequently used by practitioners to analyse the data.
No prior knowledge required
Subject outlines (prior to May 2017)