ETF3600 · Quantitative analysis of limited dependent variables

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

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. provide a solid understanding of regression analysis including relationships with dependent variables that can be binary, in unordered categories, in ordered categories and duration variables
2. analyse these relationships using a software package
3. analyse, interpret and communicate the business value of results.

Workload

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.

Student experience, not official rules. Nothing here changes what the Handbook says.