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 2021 in Semester 1 at Clayton. It needs ETF5600, ETC5340, ETC5341 or ETF5320.
- Credit points
- 6
- Offered in 2021
- Semester 1
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2021 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ETC5420.
Requisites
Before ETC5420
Prohibitions
You can't enrol if you have passed any of these.
After ETC5420
No unit lists ETC5420 as a prerequisite in the 2021 handbook.
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 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
Assessment
- Within semester assessment40%
- Examination60%
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
- Workshops18 hours
- Teaching approachActive learning
- Teaching approachResearch activities
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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Contacts
- Chief Examiners
- Professor Xueyan Zhao
Common questions
What are the prerequisites for ETC5420?
You need ETF5600, ETC5340, ETC5341 or ETF5320 before you enrol.
When is ETC5420 offered?
In 2021, 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.