UnitLevel 5Postgraduate

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 2027 in Semester 1 at Clayton. It needs ETC5340, ETC5341, ETF5320, ETF5600, ETC3400, ETC3410, ETF3600, ETF3200 or ETW3510.

Credit points
6
Offered in 2027
Semester 1
Clayton
Assessment
Exam 60%
and 1 other task
Workload
144 hours
per semester

Reviews

No reviews yet

No reviews yet. Be the first to review ETC5420.

Requisites

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 2027

Teaching periodCampusMode
First semesterClaytonOn campus

Assessment

  • Project
    40%
  • Examination
    60%

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. 1

    become familiar with typical features and structures of micro datasets

  2. 2

    identify microeconometric models suitable for given micro datasets and given research objectives

  3. 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. 4

    summarise and present key model results and measures of interest in tables and graphs

  5. 5

    be comfortable and proficient with the use of STATA software to manage and analyse large datasets

  6. 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 2027 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 2027, 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.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 4
Study abroad
Available