The course intertwines lectures, computer tutorials (using the R software), and case studies. It covers all the practical steps required for successful choice modelling analyses, from inception via survey design and data collection to modelling, analysis, and interpretation.
Topics
- The theoretical and conceptual platform covers topics such as random utility theory, homo economicus, experimental design, econometrics modelling, economic value decomposition, and willingness to pay. Stated choice data acquisition. Setting research objectives. Conducting supporting qualitative studies. Developing questionnaires. Defining sampling strategies.Performing data collection
- Stated choice data modeling. Utility specification. Maximum likelihood estimation. Multinomial logit model. Preference heterogeneity. Attribute importance. Willingness to pay measures.
- Programming with R. Basic functions and objects. Writing, adapting, and running codes. Interpreting software outcomes
Case studies
Transportation will be the primary focus, but case studies may also draw from non-transportation fields. Particular attention will be given to the specific topics suggested by students.
Learn more at the course page for spring 2026
Practicalities
- Apply via Nettskjema Application Form
Deadline for application is 15 January 2026
Coordinator
Professor II in Transport Economics
- valerio.gatta@himolde.no
- Phone
- +47 71 19 59 16
Contact person
Teamlead admissions
- oystein.nerland@himolde.no
- Phone
- +47 71 21 41 31