ETC5420 Microeconometrics
Faculty of Business and Economics
ETC5420 Microeconometrics is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2026 in Semester 1 at Clayton. It needs ETC5340, ETC5341, ETF5320, ETF5600, ETC3400, ETC3410, ETF3600, ETF3200 or ETW3510.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC5420
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- ETC5340Principles of econometricsNo reviews yet
- ETC5341Applied econometricsNo reviews yet
- ETF5320Applied econometricsNo reviews yet
- ETF5600Quantitative analysis of limited dependent variablesNo reviews yet
- ETC3400Principles of econometricsNo reviews yet
- ETC3410Applied econometricsNo reviews yet
- ETF3600Quantitative analysis of limited dependent variablesNo reviews yet
- ETF3200Applied econometricsNo reviews yet
- ETW3510Applied econometrics for behavioural modellingNo reviews yet
After ETC5420
No unit lists ETC5420 as a prerequisite in the 2026 handbook.
Enrolment rules
If you are enrolled in B6023 there are no prerequisites.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit involves the analysis of micro-level cross-sectional and panel data to study the behaviour of individuals and other micro-units as decision makers. It studies the specification, estimation, inference and evaluation of a range of microeconometric models. These include models for discrete, count, duration, censored or truncated dependent variables and examine issues arisen from sample selection and endogenous treatment. You will also gain hands-on experience and computation skills for analysing large scale micro datasets. The computing package used for the unit is STATA.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Project40%
- 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
become familiar with typical features and structures of micro datasets
- 2
identify microeconometric models suitable for given micro datasets and given research objectives
- 3
specify, estimate, evaluate and analyse econometric models with dependent variables that are binary choices, multinomial discrete choices, durations, censored or truncated, using a given dataset
- 4
summarise and present key model results and measures of interest in tables and graphs
- 5
be comfortable and proficient with the use of STATA software to manage and analyse large datasets
- 6
have had hands-on experience with analysing several real world micro datasets in health, labour, finance and marketing research, through computing exercises and a written assignment.
Workload and teaching
- Workshops36 hours
- Teaching approachEnquiry-based learning
- Teaching approachCase-based teaching
- Teaching approachProblem-based learning
- Teaching approachResearch activities
- 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 enquiry-based learning, where you will be encouraged to use your own knowledge to develop and engage in a process of enquiry, study and research to identify areas to be investigated and an approach to doing so.
This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.
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 allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.
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
ETC5420 is part of 2 areas of study in the 2026 handbook.
Contacts
- Chief Examiners
- Professor Xueyan Zhao
Common questions
What are the prerequisites for ETC5420?
You need ETC5340, ETC5341, ETF5320, ETF5600, ETC3400, ETC3410, ETF3600, ETF3200 or ETW3510 before you enrol. Enrolment rules also apply.
When is ETC5420 offered?
In 2026, ETC5420 runs in Semester 1 at Clayton.
How much work is ETC5420?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC5420 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC5420?
ETC5420 is part of Econometrics and business statistics; and Economics.