Units / ETF5910
ETF5910 · Introductory applied econometrics
2026 Handbook6 credit pointsLevel 5Department of Econometrics and Business Statistics
Last checked: 23 Aug 2026 UTCOverview
Econometrics is a set of research tools employed not only in economics but also in business disciplines. This unit covers the basic tools for estimation in the context of simple and multiple linear regression, the sampling properties of the least squares estimator, statistical inference and hypothesis testing. It also covers regression with dummy variables, model specification issues and estimation problems when least squares assumptions are violated. Statistical analysis software is used as the software package.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Caulfield | First semester | Activities scheduled as a mix of on-campus and online activities (BLENDED) |
| Caulfield | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Caulfield | November teaching period | Teaching activities are on-campus and in a block period (ON-BLK) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Exercise | Exercise | 10% | — |
| 2 | 2 - Quiz / Test | Quiz / Test | 15% | — |
| 3 | 3 - Written | Written | 25% | — |
| 4 | 4 - Examination | Examination | 50% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
prerequisite
- ETB1100 — Business statistics
- ETC1000 — Business and economic statistics
- ETC5900 — Business statistics
- ETF1100 — Business statistics
- ETF5900 — Business statistics
- ETM5900 — Business statistics
- ETW1001 — Introduction to statistical analysis
- FIT1006 — Business information analysis
- SCI1020 — Introduction to statistical reasoning
- STA1010 — Statistical methods for science
- ETX1100 — Business statistics
- ETX5900 — Business statistics
Joined by OR.
Learning outcomes
- apply econometric tools to modelling, estimation, inference, and forecasting in the context of real world economic and business problems
- formulate and test hypotheses about the relationships between variables
- understand the nature and consequences of violation of the classical assumptions and know how to test for violations
- apply the skills and knowledge from the unit to real situations in business and economics, critically analysis and evaluate the results from applications, and make policy recommendations
- demonstrate the ability to generate and analyse statistical analysis software computer output for business and economic applications.
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 |
|---|---|
| Seminars | 24 hours |
| Workshops | 12 hours |
| Workshops | 36 hours |
| Workshops | 24 hours |
| Tutorials | 12 hours |
| Assessments | — |
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