ETC4400 Statistical theory and practice
Faculty of Business and Economics
ETC4400 Statistical theory and practice is a level 4, 6-credit-point, undergraduate and postgraduate unit from the Faculty of Business and Economics, offered in 2022 in Semester 2 at Clayton. It needs ETC3410, ETC3580 or ETC3400.
- Credit points
- 6
- Offered in 2022
- Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before ETC4400
Prerequisites
Pass these before you enrol.
After ETC4400
No unit lists ETC4400 as a prerequisite in the 2022 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
The objective of this unit is to outline the general principles that underlie advanced methods of frequentist statistical inference. Building on maximum likelihood estimation (MLE), the unit provides a formal treatment of quasi-MLE, generalized method of moments (GMM), instrumental variable (IV) estimation, non-parametric methods and the bootstrap. The discussion is motivated by reference to econometric and statistical models and data, with insights provided into the theoretical properties and practical relevance of these alternative inferential techniques. The importance of asymptotic theory to the implementation of frequentist inference is highlighted, in a formal but intuitive way. Simulation experiments are used to reinforce the theoretical derivations.
Offerings in 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Within semester assessment40%
- Examination60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
build upon existing concepts developed in previous units and outline the principles underlying more advanced methods of inference
- 2
highlight when and why different inferential methods are needed
- 3
discuss the problem of endogeneity, and the link between between generalized method of moments and instrumental variables
- 4
discuss asymptotic theory in the context of all methods and explain its use in inference
- 5
demonstrate the use of computer simulation to explore theoretical concepts.
Workload and teaching
- Workshops36 hours
- Teaching approachProblem-based learning
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.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Contacts
- Chief Examiners
- Professor Gael Martin
Common questions
When is ETC4400 offered?
In 2022, ETC4400 runs in Semester 2 at Clayton.
How much work is ETC4400?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC4400 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.