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.
|Faculty||Bond Business School|
1. Demonstrate advanced knowledge of linear regression, its maintained assumptions and their relevant statistical properties.
2. Use simple/multiple regression models to interpret the underlying relationships between the variables and evaluate their statistical significance through hypothesis testing.
3. Demonstrate how to determine, vis-a-vis diagnostic statistics, when the maintained assumptions of the linear regression model are violated and critically evaluate how to address the violations so that correct statistical inference can be drawn.
4. Demonstrate the ability to solve business problems using econometrics packages.
5. Demonstrate the ability to produce a written report that demonstrates higher order understanding of key concepts in applied econometrics.
|Withdraw – Financial?||08/06/2019|
|Withdraw – Academic?||29/06/2019|
|Withdraw – Financial?||05/10/2019|
|Withdraw – Academic?||26/10/2019|
|Withdraw – Financial?||08/02/2020|
|Withdraw – Academic?||29/02/2020|