Discrete Choice analysis Predicting Demand and Market Shares

Sunday, February 12 - Thursday, February 16, 2017

Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Room BC 02 (click for the online map)


PhD students participating to the course who need to receive ECTS credits can ask to be evaluated. The workload for the course, that is 40 periods of 45 minutes plus the work on the report for the evaluation, corresponds to 2 ECTS credits. However, note that this is an indication based on EPFL rules. It is the responsibility of each student to verify with his/her own doctoral program if these credits can indeed be awarded.


  • Fundamental methodology
  • Data collection
  • Model design issues
  • Model estimation issues
  • Forecasting techniques
  • Examples and real case studies

Important dates

December 01, 2016:

January 14, 2017:

February 11, 2017:

February 12-16, 2017:
Important notice:
deadline for scholarships applications
deadline for early registration
deadline for late registration
the course is organized from Sunday to Thursday.

Who should attend?

The course is designed for professionals (from industry and public authorities) and academic researchers (professors, researchers, PhD students), interested in understanding and predicting consumer choices, demand and market share, such as marketing analysts, managers, planners, economists, engineers, operations researchers.


Mila Bender

Transport and Mobility Laboratory (TRANSP-OR)
Station 18
CH-1015 Lausanne