ETF5321 Econometrics and statistics of the environment
Faculty of Business and Economics
ETF5321 Econometrics and statistics of the environment is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics. It isn't offered in 2025. It needs ETC2410, ETF5910, ETC2420, ETC5242, ETF2100, ETW2510, ETF5202, ETF2020 or ETC3440.
- Credit points
- 6
- Offered in 2025
- Not offered
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for ETF5321. This is its 2025 entry, the latest one.
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Requisites
Before ETF5321
Prerequisites
Pass these before you enrol.
- ETC2410Introductory econometricsNo reviews yet
- ETF5910Introductory applied econometricsNo reviews yet
- ETC2420Statistical thinkingNo reviews yet
- ETC5242Statistical thinkingNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETW2510Introduction to econometricsNo reviews yet
- ETF5202Statistical foundations of business analyticsNo reviews yet
- ETF2020Statistical foundations of business analyticsNo reviews yet
- ETC3440Introductory econometricsNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETF5321
No unit lists ETF5321 as a prerequisite in the 2025 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
In this unit, you will learn how to apply econometric and statistical methods to analyse environmental data sets (e.g. climate, energy). You will gain an in-depth understanding of the models used in this field using hands-on exercises and real-world data. This will further develop your quantitative skill set. R software will be used to manipulate, analyse and model the data. By the end of this unit, you will have the knowledge and expertise necessary to conduct econometric and statistical analysis of environmental data and be well-prepared for a career in climate or energy policy, and other related fields
Offerings in 2025
The 2025 handbook lists no offerings for ETF5321.
Assessment
- Within semester assessment50%
- Examination50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
describe environmental data and their statistical properties
- 2
understand key statistical and econometrics models relevant to the analysis of spatio-temporal data
- 3
identify and fit appropriate models for a given environmental data set using statistical software
- 4
interpret and communicate the output of your data analysis.
Workload and teaching
- Lectures24 hours
- Tutorials18 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.
Common questions
What are the prerequisites for ETF5321?
You need ETC2410, ETF5910, ETC2420, ETC5242, ETF2100, ETW2510, ETF5202, ETF2020 or ETC3440 before you enrol.
When is ETF5321 offered?
ETF5321 has no offerings listed in the 2025 handbook.
How much work is ETF5321?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF5321 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 1 other task.