6 points, SCA Band 3, 0.125 EFTSL
Postgraduate - Unit
Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
Faculty
Organisational Unit
Department of Econometrics and Business Statistics
Chief examiner(s)
Coordinator(s)
Not offered in 2018
Synopsis
The topics covered in this unit would be (i) invaluable for any student intending to work in applied econometrics, and (ii) essential to understand journal articles in econometrics. This unit introduces some of the essentials to develop a working knowledge of econometrics for large samples. The topics covered include, weak law of large numbers, multivariate central limit theorem, large sample properties of the least squares estimator in the linear model, large sample properties of maximum likelihood estimators, and applications of these to some econometric models used in applied econometric research.
Outcomes
The learning goals associated with this unit are to:
- define different models used in econometrics and statistics
- compare different methods of estimating and testing econometric models
- recommend suitable methods of inference
- evaluate different methods of inference for econometric models
- summarise the advantages and disadvantages of various methods of inference.
Assessment
Within semester assessment: 100%
Workload requirements
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
See also Unit timetable information