Discrete Choice Analysis, Predicting Demand and Market Shares
Event details
| Date | 24.03.2013 › 28.03.2013 |
| Hour | 09:00 › 17:00 |
| Speaker |
• Prof. Moshe Ben-Akiva, Massachusetts Institute of Technology • Prof. Michel Bierlaire, Ecole Polytechnique Fédérale de Lausanne • Prof. Daniel McFadden, University of California, Berkeley. [Nobel Prize Laureate, 2000] • Prof. Joan Walker, University of California, Berkeley |
| Location | |
| Category | Conferences - Seminars |
Accurate predictions of the demand and market shares are critical for a wide variety of businesses and public organizations. Examples of applications include: predicting demand for a new product under alternative pricing strategies; designing a business plan for a new technology; analyzing the impact of a merger on market shares; forecasting the ridership on a new metropolitan transit service; and analyzing competitive scenarios for introducing a new telecommunication service. To accomplish these tasks, discrete choice analysis provides powerful methodological tools. Based on the modeling of individual behavior, it is used to model in detail the structure of a market, and to predict the impact of various scenarios.
Practical information
- Informed public
- Registration required
Organizer
- Transport and Mobility Laboratory, EPFL
Contact
- Marianne Ruegg, Michel Bierlaire