EPFL Winter Course

EPFL proposes a 5-day short course entitled "Discrete Choice Analysis: Predicting demand and market shares". It is organized every year in March (occasionally in February).

Content:

  1. Fundamental methodology, e.g. the foundations of individual choice modeling, random utility models, discrete choice models (binary, multinomial, nested, cross-nested logit models, MEV models, probit models, and hybrid choice models such as logit kernel and mixed logit);
  2. Data collection issues, e.g. choice-based samples, enriched samples, stated preferences surveys, conjoint analysis, panel data;
  3. Model design issues, e.g. specification of utility functions, generic and alternative specific variables, joint discrete/continuous models, dynamic choice models;
  4. Model estimation issues, e.g. statistical estimation, testing procedures, software packages, estimation with individual and grouped data, Bayesian estimation;
  5. Forecasting techniques, e.g. aggregate predictions, sample enumeration, micro-simulation, elasticities, pivot-point predictions and transferability of parameters;
  6. Examples and case studies, including marketing (e.g., brand choice), housing (e.g., residential location), telecommunications (e.g., choice of residential telephone service), energy (e.g., appliance type), transportation (e.g., mode of travel).

Lecturers:Prof. Moshe Ben-AkivaMassachusetts Institute of Technology, Cambridge, Ma (USA)
Prof. Daniel McFaddenUniversity of Southern California [Nobel Prize Laureate, 2000]
Prof. Michel BierlaireEcole Polytechnique Fédérale de Lausanne, Switzerland

MIT Summer Course

MIT proposes a 5-day short course entitled "Discrete Choice Analysis: Predicting demand and market shares". It is organized every year in June.

Lecturer: Prof. Moshe Ben-Akiva, Massachusetts Institute of Technology, Cambridge, Ma (USA)