UnitLevel 5Postgraduate

ETF5600 Quantitative analysis of limited dependent variables

Faculty of Business and Economics

ETF5600 Quantitative analysis of limited dependent variables is a level 5, 6-credit-point, postgraduate unit from the Faculty of Business and Economics, offered in 2026 in Semester 1 at Caulfield. It needs ETC2410, ETC3440, ETF2100, ETF5910, ETW2510 or ETC5241 and unlocks 1 unit.

Credit points
6
Offered in 2026
Semester 1
Caulfield
Assessment
Exam 50%
and 3 other tasks
Workload
144 hours
per semester

This is the 2026 handbook entry. See the 2027 entry.

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Requisites

Overview

Examples of interesting business problems include predicting and/or explaining consumer choices, loan discrimination and default, corporate bond ratings, bank failures, and selection of services. All of these phenomena are measured with data whose range is restricted. This unit covers the basic tools for estimating models with such data, known as limited dependent variables.

Topics to be covered include: probit and logit, ordered logit and multinomial probit, Tobit model, censored and truncated regression, count data and duration. Computer software will be used to apply these techniques to real world problems.

Offerings in 2026

Teaching periodCampusMode
First semesterCaulfieldOn campus

Assessment

  • Quiz / Test
    20%
  • Written
    25%
  • Exercise
    5%
  • Examination
    50%

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

    demonstrate a solid understanding of regression analysis; modelling and analysing relationships with binomial, unordered and ordered multinomial and duration dependent variables

  2. 2

    apply skills and knowledge of the above topics to real situations in areas such as marketing, economics and management

  3. 3

    use the relevant software to help with the analysis of the above topics.

Workload and teaching

  • Tutorials12 hours
  • Workshops36 hours
  • Teaching approachProblem-based learning
  • 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 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 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

ETF5600 is part of 1 area of study in the 2026 handbook.

Contacts

Chief Examiners
Associate Professor Otavio Bartalotti

Common questions

What are the prerequisites for ETF5600?

You need ETC2410, ETC3440, ETF2100, ETF5910, ETW2510 or ETC5241 before you enrol.

What can I take after ETF5600?

ETF5600 is a prerequisite or corequisite for 1 unit, including ETC5420.

When is ETF5600 offered?

In 2026, ETF5600 runs in Semester 1 at Caulfield.

How much work is ETF5600?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ETF5600 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.

Which majors and minors include ETF5600?

ETF5600 is part of Data analytics for business.

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 1
Study abroad
Available