ETC3450 Applied time series econometrics
Faculty of Business and Economics
ETC3450 Applied time series econometrics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 2 at Clayton. It needs ETF2100, ETC2410, ETW2510 or ETC3440 and unlocks 2 units.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ETC3450
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ETC3450
2 units list ETC3450 as a prerequisite or corequisite.
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 an introduction to modern time series methods. The topics covered include a review of stationary, univariate ARMA models, stochastic and deterministic trends, testing for unit roots, vector auto regressions, multivariate cointegration and error correction models.
Offerings in 2024
| 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
model and forecast stationary autoregressive and moving average time series
- 2
test for unit roots in univariate time series
- 3
analyse the relationships between multiple, stationary time series
- 4
test for, estimate and interpret the long run relationships between non-stationary time series.
Workload and teaching
- Tutorials18 hours
- Seminars24 hours
- Teaching approachProblem-based learning
- 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 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.
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
ETC3450 is part of 3 areas of study in the 2024 handbook.
Contacts
- Chief Examiners
- Mr John Stapleton
Common questions
What are the prerequisites for ETC3450?
You need ETF2100, ETC2410, ETW2510 or ETC3440 before you enrol. Enrolment rules also apply.
What can I take after ETC3450?
ETC3450 is a prerequisite or corequisite for 2 units, including ETX4410 and ETX5441.
When is ETC3450 offered?
In 2024, ETC3450 runs in Semester 2 at Clayton.
How much work is ETC3450?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC3450 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC3450?
ETC3450 is part of Econometrics and Mathematical foundations of econometrics.