- Code EMET3004
- Unit Value 6 units
The course studies important extensions of the linear regression model. Topics include: endogeneity, binary dependent variables, time series regressions and panel data estimation. This is a hand-on course with a focus on applications in economics as well as business. A standard statistical software will be used during computer sessions, no special programming skills are required.
Upon successful completion, students will have the knowledge and skills to:
- demonstrate an understanding of the challenges of empirical modelling in economics and business
- demonstrate an understanding of the shortcomings of the standard linear regression model
- apply important extensions to the linear regression model
- express new econometric methods mathematically
- demonstrate clarity of thought regarding the relationship between data, model and estimation in econometrics
- use statistical software to study actual data sets
- Assignments (30) [LO 1,2,3,4,5,6]
- Final examination (70) [LO 1,2,3,4,5,6]
Students taking this course are expected to commit at least 10 hours per week consisting of 2 hours of lectures and a 1 hour of computer tutorial as well as 7 hours of private study
Requisite and Incompatibility
see Class Summary and Wattle site.
Tuition fees are for the academic year indicated at the top of the page.
- Student Contribution Band:
- Unit value:
- 6 units