ETF5910 Introductory applied econometrics
Faculty of Business and Economics
ETF5910 Introductory applied econometrics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2025 in Semester 1 and Semester 2 at Caulfield. It needs ETC5900, ETW1001, ETX1100, ETF1100, FIT1006, ETX5900, ETB1100, ETF5900, SCI1020, ETC1000, ETM5900 or STA1010 and unlocks 13 units, leading on to 21 units in all.
- Credit points
- 6
- Offered in 2025
- Semester 1, Semester 2
- Caulfield
- Assessment
- Exam 100%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF5910
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- ETC5900Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETX5900Business statisticsNo reviews yet
- ETB1100Business statisticsNo reviews yet
- ETF5900Business statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- ETM5900Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
After ETF5910
13 units list ETF5910 as a prerequisite or corequisite.
- ETC5340Principles of econometricsNo reviews yet
- ETC5341Applied econometricsNo reviews yet
- ETC5345Applied time series econometricsNo reviews yet
- ETC5346Financial econometricsNo reviews yet
- ETC5550Applied forecastingNo reviews yet
- ETC5580Advanced statistical modellingNo reviews yet
- ETF5231Business forecastingNo reviews yet
- ETF5320Applied econometricsNo reviews yet
Enrolment rules
If you are enrolled in course B5007, B6022, B6030, B6036, B6043 or B6045, there is no prerequisite.
Overview
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 in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | Blended |
| Second semester | Caulfield | On campus |
| November teaching period | Caulfield | On campus, block |
Assessment
- Within semester assessment50%
- Examination50%
- Exercise10%
- Written40%
- Examination50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
apply econometric tools to modelling, estimation, inference, and forecasting in the context of real world economic and business problems
- 2
formulate and test hypotheses about the relationships between variables
- 3
understand the nature and consequences of violation of the classical assumptions and know how to test for violations
- 4
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
- 5
demonstrate the ability to generate and analyse statistical analysis software computer output for business and economic applications.
Workload and teaching
- Tutorials12 hours
- Seminars24 hours
- Workshops12 hours
- Workshops24 hours
- Workshops36 hours
- Teaching approachActive learning
- 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. 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.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
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.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETF5910 is part of 2 areas of study in the 2025 handbook.
Contacts
- Chief Examiners
- Alyssa Hu
- Associate Professor Bin Peng
- Professor Otavio Bartalotti
Common questions
What are the prerequisites for ETF5910?
You need ETC5900, ETW1001, ETX1100, ETF1100, FIT1006, ETX5900, ETB1100, ETF5900, SCI1020, ETC1000, ETM5900 or STA1010 before you enrol. Enrolment rules also apply.
What can I take after ETF5910?
ETF5910 is a prerequisite or corequisite for 13 units, including ETC5340, ETC5341, ETC5345, ETC5346, ETC5550 and ETC5580. Those lead on to 21 units in all.
When is ETF5910 offered?
In 2025, ETF5910 runs in Semester 1 and Semester 2 at Caulfield.
How much work is ETF5910?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF5910 have an exam?
Yes. The exam is worth 100% of the final mark, alongside 4 other tasks.
Which majors and minors include ETF5910?
ETF5910 is part of Data analytics for business; and Economics and health.