Master-class May 2023: Fundamentals of Choice Modelling

This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies.



This course is being hosted in-person at the University of Queensland's Business School at the St Lucia Campus, Brisbane.


This course will be followed up by the Applied Choice Modelling using Apollo Master-class on June 1-2, also in-person at UQ's St Lucia campus.






Monday, May 29, 2023 - Tuesday, May 30, 2023
Early bird cutoff date: 
Wednesday, April 26, 2023
Course details:

Choice modelling is a specialised area of micro-econometrics that develops and applies mathematical models that represent human decision making. Choice models are used extensively to understand current behaviour and predict future choices in the applied fields of the economic sciences, especially environmental, health, and transport economics. Other application areas include business and marketing. In addition to addressing questions of academic interest, choice modelling informs policy and strategy making in these applied economic disciplines.


This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies.


Master Class - runs over 2 days

Stephane Hess is Professor of Choice Modelling and Director of the Choice Modelling Centre at The University of Leeds (UK). Stephane is a globally recognised leader in choice modelling with interests in behavioural models, travel behaviour, health choices, and decision making. His specific academic contributions include developing advanced choice models and empirical contributions across many fields. He is the editor of the Journal of Choice Modelling (the leading international, interdisciplinary journal in choice modelling), the chair of the International Choice Modelling Conference, and co-developer of Apollo (with David Palma, Leeds, UK), a widely used (open-source) estimation software for choice models.

Course dates: Monday 29 May 2023 - Tuesday 30 May 2023
Course status: Course completed (no new applicants)
Week 1
About this course: 

This two-day masterclass introduces students to the fundamentals of choice modelling through a series of lectures. The masterclass will specifically introduce participants to the family of econometric models that are typically used in choice modelling – both in academic and applied projects. Examples are used throughout the masterclass with application areas including environmental, health, and transport economics.


The target audience includes both academic and applied researchers including university researchers and research students, and researchers and policymakers from government agencies and departments.

Course syllabus: 

Day 1

  • Session 1: Introduction to choice modelling and data for choice modelling (revealed and stated preferences).
  • Session 2: Random utility theory and the Multinomial logit model (MNL).
  • Session 3: Model estimation, specification testing, interpretation of MNL results and forecasting.
  • Session 4:Models allowing for flexible error structures, including Nested and Cross-Nested Logit


Day 2

  • Session 1: Allowing for deterministic heterogeneity in preferences
  • Session 2: Random heterogeneity, including Mixed Logit and Latent Class; Advanced model estimation in Apollo
  • Session 3: Advanced modelling topics, including Hybrid choice models and departures from the Random Utility framework
  • Session 4: Choice modelling in practice, joint estimation on RP and SP data, and use of novel data sources.
Course format: 

This is a lecture-based masterclass delivered in person.

The masterclass consists of a series of lectures and interactive discussion sessions.

Participants should be willing to participate in these (facilitated) discussion sessions.

Recommended Background: 

Participants should have some familiarity with linear and logistic regression.

There is no requirement for previous experience in choice modelling.

Recommended Texts: 

Hess, Stephane and Andrew Daly (eds.) (2014), Choice Modelling: The State-of-the-Art and the State-of-Practice. Cheltenham, UK; Northampton, MA: Edward Elgar Publishers.


Train, Kenneth (2009), Discrete Choice Methods with Simulation. Cambridge University Press, Cambridge MA.

Course fees
Non Member: 
Full time student Member: 


On campus accommodation may be available at UQ through some of the colleges. Not all of them offer accommodation during Semester breaks, so it is best to contact them directly. This is a link to a UQ web page that will link you to their websites. Many of them will have links to 'conference' or casual accomodation.


Other Accommodation options

There are several other options in suburbs around the campus, St Lucia, Toowong and West End, which are connected to UQ by the CityCat river ferry and several bus services. Toowong is also only a few minutes from the city by train. A web search of 'St Lucia accommodation Brisbane' should provide you with some options. It is also possible to stay in the CBD and enjoy a reasonable commute, particularly if staying close to a CityCat (river ferry) stop or near Roma St Station (bus). Follow this link for information about getting to the St Lucia campus.


Otherwise you may be able to find a room or apartment via Airbnb or one of the many accommodation aggregator sites like or Just type in the suburb of St Lucia.

Car Parking / Transport: 

This is a link to UQ's information page about the various ways to get to the St Lucia Campus.


The Brisbane City Council (CityCat) ferry service operates between the city (and beyond) and St Lucia. The ferry is a pleasant way to travel to campus and is also an effective way of commuting from areas such as Toowong and the city. The ferry stop at UQ is only a short walk from the Business School Precinct, where most ACSPRI courses will be run.

The latest updates on the ferry service can be found through



Brisbane City Council buses stopping at UQ take you to one of two bus terminals. One is at Chancellor's Place (near the J. D. Story Building). The second terminal is at "UQ Lakes", at the far east of the campus near Playing field 3, which is at the UQ end of the Eleanor Schonell Bridge. A journey planner is available at this link.


The University of Queensland (St Lucia) is ideally accessed by bicycle, with a safe riverside bicycle path connecting St Lucia campus to the city. You can follow the roads or use combinations of roads and bike paths. Remember too, that bikes may be taken on City Cat river ferries. There is a University Bicycle Shop in the St Lucia Campus Union Complex and bike parking facilities are available.


Taxi ranks are located on the roundabout at Chancellors Place, and in University Drive, at St Lucia Campus.


Car Parking

Parking can be difficult to find on campus during the semester when classes are in session.

Paid parking operates on the St Lucia campus from 7:00am to 9:00pm every weekday.

Please follow this link for details about casual parking at the St Lucia Campus, including maps showing car park locations, zones, parking conditions & signs.


At St Lucia, there are two ways to pay for casual parking: CellOPark and Pay by Plate. Signs located in each zone have information on how to register for CellOPark, or pay using the Pay by Plate machines. This link explaining how these systems work.


ACSPRI accepts no responsibility for organising parking or parking fines incurred by program participants.

Venue and Timetable: 

The Program will be held at the University of Queensland, St Lucia Campus. Most courses will take place in the Business Precinct (Blds 39 & 39A) near Blair Drive and Campbell Road. A campus map can be found here.


Exact course locations can change at the last minute. You will be sent a information sheet about a week before the course starts with all the information you will need. We will advise you in advance where we will have a registration desk set up from 8.15am on the 1st day of your course. Your class will start at 9am.


Breaks will occur daily at 10.30-11.00, 12.30-1.30 and 3.00-3.30. Sessions will begin at 9am and end at 5pm each day except Friday, where courses will finish by 3pm unless otherwise notified. Please be aware that shorter courses (2-3 days), may have slightly different hours - you will be notified in advance.