Description:

Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics.

This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models.

This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course.

The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics.

Start: Wednesday, 05 February 2025 @ 09:00

End: Thursday, 06 February 2025 @ 17:00

Duration: 2 days

Timezone: Melbourne

Venue: The University of Melbourne

City: Parkville  Country: Australia  Postcode: 3052

Prerequisites:

Participants will require a priori knowledge of choice modelling theory.

It is recommended that this includes all the topics covered in the masterclass on choice modelling theory.

There is no requirement for previous experience using R.

Note a 2-day masterclass on choice modelling theory is being offered immediately before this applied course (Feb 3-4)

Learning Objectives:

The target audience is primarily an academic one including university researchers, PhD students, and applied researchers from government agencies and departments.

Eligibility:
  • Open to all

Organiser: ACSPRI

Contact: info@acspri.org.au ph: +61 3 8376 6496

Host institution: ACSPRI

Keywords: Choice modelling, econometrics, marketing

Fields: ENVIRONMENTAL SCIENCES, MEDICAL AND HEALTH SCIENCES, BUILT ENVIRONMENT AND DESIGN, ECONOMICS, COMMERCE, MANAGEMENT, TOURISM AND SERVICES

Capacity: 20

Event type:
  • Workshop
Tech Requirements:

This is a lab-based masterclass. Participants will need to bring their own laptops.

Participants are encouraged to install the R software on their laptops before starting the masterclass.

Cost Basis: Cost incurred by all

Applied Choice Modelling using Apollo https://dresa.org.au/events/applied-choice-modelling-using-apollo Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics. This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models. This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course. The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics. 2025-02-05 09:00:00 UTC 2025-02-06 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing