Discrete choice analysis
Estimate discrete choice models and interpret the outputs using real-life data sets.
Overview
Almost without exception, everything we undertake involves a choice. In recent years there has been a growing interest in the development and application of quantitative statistical methods to study choices made by individuals or groups with the purpose of gaining a better understanding both of how choices are made and of forecasting future choices. Discrete choice analysis and stated choice methods are widely used across diverse fields to study the behavioural responses of individuals, households and other organisations.
This course is designed to provide both theory and practical experience in the building and estimating of simple and more advanced choice models, as well as in generating stated choice experimental designs.
What you'll learn
In this practical and theory-based course, you will learn:
- multinomial logit, latent class, error components, and mixed logit (random parameters) models
- willingness to pay and models estimated in willingness to pay space
- an introduction to the design of stated choice surveys, including generation of orthogonal and efficient experimental designs (we will use a variety of applications to illustrate the techniques)
- the background theory for discrete choice modelling, different methods for combining survey data, and the most recently developed modelling techniques including hybrid choice models.
Institute of Transport and Logistics Studies
ITLS is a renowned international centre for the latest thinking on the crucially linked areas of transport, infrastructure, logistics and supply chain management.
Established in 1991, our goal is to contribute to the design, management and optimisation of infrastructure, transport, logistics and supply chain initiatives around the globe.
Course in detail
This course is delivered in XXX modules:
- TITLE
- Bullet points covering the modules
The course is intended for academics and practitioners in government and industry. An appreciation of basic statistical concepts is useful, but not essential for this course. Many attendees have come with no background in discrete choice modelling, but have completed the course at a level that has enabled them to develop and estimate a range of choice models immediately.
This course is delivered online over XXX weeks:
- SESSION DETAILS HERE
There are XXX assessment types used within this microcredential:
- ASSESSMENT DETAILS HERE
- TBA
All courses must be paid in advance of commencing your course. We accept the following payment methods:
- Mastercard
- Visa
- American Express (only available for enrolments made through the Sydney Short Courses website)
- Electronic bank transfer (for invoices to organisations by prior agreement only)
Please contact us to request an Invoice Authorisation Form. Once we receive the necessary details, your enrolment/s will be processed accordingly, and an invoice will be issued to the payer. Payment can then be made by credit card or electronic funds transfer (EFT).
I have enrolled in a Sydney Short Courses course, what happens now?
Once your enrolment has been processed, you will receive the following emails:
- Enrolment confirmation: you will receive this immediately after your enrolment has been processed.
- Tax invoice: the payer of your enrolment will receive this immediately after your enrolment has been processed.
- Course reminders: you will receive emails from Sydney Short Courses in the lead up to the course starting. These include information about the course and, if required, the schedule for online or face-to-face sessions.
- Course materials: if you are enrolled in a course that provides reading or other downloadable materials, you will get access to these materials prior to the class commencing.
- Online session links: you will receive reminder emails the day before and the day of each live session containing the meeting link and meeting ID.