ETC3400 Principles of econometrics
Faculty of Business and Economics
ETC3400 Principles of econometrics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2027 in Semester 2 at Clayton. It needs ETC2410, ETC3440, ETF2100, ETW2510, ETC2520 or MTH2232 and unlocks 7 units.
- Credit points
- 6
- Offered in 2027
- Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
Reviews
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Requisites
Before ETC3400
Prerequisites
Pass these before you enrol.
- ETC2410Introductory econometricsNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETW2510Statistical modelling for decision makingNo reviews yet
- ETC2520Probability and statistical inference for economics and businessNo reviews yet
- MTH2232Mathematical statisticsNo reviews yet
After ETC3400
7 units list ETC3400 as a prerequisite or corequisite.
- ETC4400Statistical theory and practiceNo reviews yet
- ETC4420MicroeconometricsNo reviews yet
- ETC4541Bayesian inference and data analysisNo reviews yet
- ETC5410Bayesian inference and data analysisNo reviews yet
- ETC5420MicroeconometricsNo reviews yet
- ETX4410MacroeconometricsNo reviews yet
- ETX5441MacroeconometricsNo reviews yet
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 Higher level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit provides a formal treatment of the core principles underlying econometric and statistical analysis, with particular focus given to likelihood-based inference. Topics covered include the likelihood principle and maximum likelihood estimation; minimum variance unbiased estimation; maximum likelihood asymptotic distribution theory; likelihood-based hypothesis testing. The theoretical developments are supplemented by numerical results produced using computer simulation. Consideration is also given to the numerical optimisation techniques used to implement likelihood-based procedures in practice.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On campus |
Assessment
- Written40%
- Examination60%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
consolidate the core principles underlying econometric and statistical analysis
- 2
understand and implement the technique of maximum likelihood estimation and develop an appreciation of the associated asymptotic distribution theory
- 3
understand and implement likelihood-based hypothesis testing
- 4
develop the skills needed to demonstrate and explore theoretical sampling properties using computer simulation.
Workload and teaching
- Workshops36 hours
- Tutorials12 hours
- Teaching approachActive 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.
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
ETC3400 is part of 5 areas of study in the 2027 handbook.
- ECNM-MAJMajor, Core unitsEconometricsNo reviews yet
- ECNM-MINMinor, Core unitsEconometricsNo reviews yet
- ECOS-HRACore unitsEconomicsNo reviews yet
- MTEE-USPECSpecialisation, Core unitsMathematical economics and econometricsNo reviews yet
- MTFE-MAJMajor, Core unitsMathematical foundations of econometricsNo reviews yet
Contacts
- Chief Examiners
- Dr Rami Tabri
Common questions
What are the prerequisites for ETC3400?
You need ETC2410, ETC3440, ETF2100, ETW2510, ETC2520 or MTH2232 before you enrol. Enrolment rules also apply.
What can I take after ETC3400?
ETC3400 is a prerequisite or corequisite for 7 units, including ETC4400, ETC4420, ETC4541, ETC5410, ETC5420 and ETX4410.
When is ETC3400 offered?
In 2027, ETC3400 runs in Semester 2 at Clayton.
How much work is ETC3400?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC3400 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC3400?
ETC3400 is part of Econometrics; Economics; Mathematical economics and econometrics; and Mathematical foundations of econometrics.