Discrete Choice analysis Predicting Individual Behavior and Market Demand

Sunday, March 24 - Thursday, March 28, 2019

Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Room GC B1 10 (click for the online map)

Lecturers

Schedule

Sunday, March 24, 2019
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-AkivaSpecification testing
16:00 - 17:30Computer Lab I: Introduction; Logit estimation and testing
Monday, March 25, 2019
TimeLecturerLecture
09:30 - 11:00Ben-AkivaNested Logit Models
11:15 - 12:45Ben-AkivaMultivariate Extreme Value Models - Aggregate Forecasting and Microsimulation
14:15 - 15:45McFaddenStated preferences methods
16:00 - 17:30Computer Lab II: Nested logit; Aggregate forecasting
Tuesday, March 26, 2019
TimeLecturerLecture
09:30 - 11:00BierlaireMixture Models
11:15 - 12:45BierlaireSimulation-based estimation
14:15 - 15:45Ben-AkivaCombining RP and SP
16:00 - 17:30Computer Lab III: Logit mixtures; Combining data
Wednesday, March 27, 2019
TimeLecturerLecture
09:30 - 11:00Ben-AkivaSampling and estimation; Endogeneity
11:15 - 12:45BierlaireDiscrete Panel data
14:15 - 15:45McFaddenBayesian estimation
16:00 - 17:30Computer Lab IV: Hierarchical Bayesian Estimation; Individual Prediction
Thursday, March 28, 2019
TimeLecturerLecture
09:30 - 11:00McFaddenBehavioral Foundations
11:15 - 12:45Ben-AkivaModels with latent variables
14:15 - 15:45Questions and answers
16:00 - 17:30Computer Lab V: Hybrid Choice Models [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

Topics

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

Important dates

January 14, 2019:

February 24, 2019:

March 23, 2019:

March 24-28, 2019:
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