ETC4420 Microeconometrics
Faculty of Business and Economics
ETC4420 Microeconometrics is a level 4, 6-credit-point, undergraduate and postgraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Clayton
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before ETC4420
Prohibitions
You can't enrol if you have passed any of these.
After ETC4420
No unit lists ETC4420 as a prerequisite in the 2020 handbook.
Enrolment rules
Students must be enrolled in course B3701.
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. The aim of the unit is also for students to gain hands-on experience and computation skills for analysing large scale micro datasets. The computing package used for the unit is STATA.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
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
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 ETC4420?
ETC4420 has no prerequisites, but enrolment rules apply.
When is ETC4420 offered?
In 2020, ETC4420 runs in Semester 1 at Clayton.
How much work is ETC4420?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.