LOG904-150 Stated Preferences - Discrete Choice Modelling (Autumn 2018)
- ECTS Credits:
- 2.5
- Responsible faculty:
- Avdeling for logistikk
- Campus:
- Molde
- Course Leader:
- Edoardo Marcucci
- Teaching language:
- English
- Study level:
- {code=HN, name=Second degree level}
- Duration:
- ½ year
Table of contents
Contents
This course focuses on the practical issues of discrete choice modelling. The course will provide an introduction to the key concept of utility based choice theory and choice modelling. Participants are presented with case studies originating from applications in transportation economics. Topics discussed in the course are: econometric methodology, model specification, estimation, inference, data issues, analysis, applications. Lecture notes and exercises instructions are delivered at class.
The course is connected to the following study programs
- Master in Logistics
- Experience-based Master in Logistics
- Master in Sustainable Energy Logistics
- Exchange programme - Master's level
Recommended knowledge
Intermediate course in Microeconomics and Statistics/Econometrics
The student's learning outcomes after passing the exam
The course is an introduction to discrete choice modeling, with a focus on how to fit, interpret, and use models. Theoretical background will include econometric underpinnings of the models and foundations for various computations. The course is meant to provide students with the econometric instruction needed to use, understand, and interpret some basic techniques. In hands-on exercises, the participant will learn how to develop and estimate basic choice models and how the results are interpreted introducing the concepts of willingness to pay and elasticities.
Forms of teaching and learning
This is a practical and theory based course. The focus of the course, strictly interlinked with Introduction to State preference Methods I, will be on the entire process of model estimation. Tools and methods to model individual behavior, study of market shares and change in demand in response to policy changes will be discussed with reference to specific case studies. Hands on problems with actual data sets will be used to augment the presentations.
Exam
- Form of assessment: Other assessment form, describe in comment field
- Proportion: 20%
- Duration: -
- Grouping: Individual
- Grading scale: It will not be graded in this topic
- Support material: -
- Form of assessment: Home assessment
- Proportion: 80%
- Duration: -
- Grouping: Individual
- Grading scale: Letter (A - F)
- Support material: All printed and written supporting material
Course evaluation
Students will have to show they can interpret the results of a discrete choice model, discuss the main results deriving from the activities performed and draw policy implications from the models estimated.
Pensum
Koppelman and Bhat, January 31, 2006, A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models, (http://www.caee.utexas.edu/prof/bhat/COURSES/LM_Draft_060131Final-060630.pdf). Additional material will be made available by the Instructor prior to the beginning of the course.
Last updated from FS (Felles studentsystem)
Oct. 14, 2026 4:31:23 AM