Units / ETC4400
ETC4400 · Statistical theory and practice
2026 Handbook6 credit pointsLevel 4Department of Econometrics and Business Statistics
Last checked: 23 Aug 2026 UTCOverview
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
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Exercise | Exercise | 40% | — |
| 2 | 2 - Examination | Examination | 60% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prerequisite
prohibitions
- ETC5440 — Statistical theory and practice
Learning outcomes
- build upon existing concepts developed in previous units and outline the principles underlying more advanced methods of inference
- highlight when and why different inferential methods are needed
- discuss the problem of endogeneity, and the link between between generalized method of moments and instrumental variables
- discuss asymptotic theory in the context of all methods and explain its use in inference
- demonstrate the use of computer simulation to explore theoretical concepts.
Workload
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. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
| Activity | Duration |
|---|---|
| Workshops | 36 hours |
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