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)

Lecturers

Schedule

Sunday, February 12, 2017
TimeLecturerLecture
09:30 - 11:00Ben-AkivaIntroduction. Choice behavior and discrete choice models
11:15 - 12:45Ben-AkivaSpecification and estimation of choice models
14:15 - 15:45Ben-AkivaStated preferences methods I
16:00 - 17:30Computer Lab I: Introduction; Logit estimation
Monday, February 13, 2017
TimeLecturerLecture
09:30 - 11:00Ben-AkivaSpecification testing
11:15 - 12:45BierlaireNested Logit Models
14:15 - 15:45Ben-AkivaStated preferences methods II
16:00 - 17:30Computer Lab II: Nested logit; Specification testing
Tuesday, February 14, 2017
TimeLecturerLecture
09:30 - 11:00BierlaireMultivariate Extreme Value Models - Aggregate Forecasting and Microsimulation
11:15 - 12:45BierlaireMixture Models; Simulation-based Estimation
14:15 - 15:45Ben-AkivaStated preferences methods III
16:00 - 17:30Computer Lab III: Forecasting; Combining RP and SP
Wednesday, February 15, 2017
TimeLecturerLecture
09:30 - 11:00BierlaireDiscrete Panel data
11:15 - 12:45Ben-AkivaBayesian estimation and Discrete Choice
14:15 - 15:45Ben-AkivaBehavioral Foundations and Models with Latent Variables
16:00 - 17:30Computer Lab IV: Logit Mixture; Hybrid Choice Models
Thursday, February 16, 2017
TimeLecturerLecture
09:30 - 11:00Ben-AkivaEndogeneity; Joint discrete continuous models
11:15 - 12:45Ben-AkivaStated preferences methods IV; Sampling
14:15 - 15:45Questions and answers
16:00 - 17:30Computer Lab V: Hybrid Choice Models (ctd) [OPTIONAL]

A welcome reception will be organized on Sunday, after the class, from 5:30 to 7:00pm.

A banquet will be organized on Wednesday at 7pm at the restaurant Le Chalet Suisse.

Topics

  • 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
course
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.

Contacts

Mila Bender

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