June 11, 2012
Location: Cambridge, Massachusetts, USA
Venue: MIT campus
Date: June 11-15, 2012
Fellowship application deadline: May 7, 2012
We are pleased to announce the availability of full and partial tuition fellowships for junior professors, postdocs and doctoral students to attend.
An in-depth study of discrete choice models (logit, nested logit, cross-nested logit, generalized extreme value, probit, logit mixtures, latent class), data collection, specification, estimation, statistical testing, forecasting, and application. Topics include analysis of revealed and stated preferences data, sampling, simulation-based estimation, discrete panel data, Bayesian estimation, discrete-continuous models, menu choice, models with latent variables, and behavioral mixture models.
The course also covers advanced practical topics, such as:
- How to deal with complex choice scenarios with many alternatives.
- How to address situations with customized products and services.
- How to combine stated preferences with revealed preferences data.
- How to represent dynamic effects in discrete choice models.
- When it is appropriate to use Probit and Logit mixtures.
- How to correct for endogeneity and self-selection bias
- How to effectively use simulation and Bayesian methods to estimate these models.
Participants will learn practical applications, be provided with discrete choice software, and will gain hands-on experience by estimating and testing alternative methods using real databases. The information and techniques taught in this course are useful for market researchers and analysts, economists, operations researchers, engineers, planners, managers, and researchers in industry, government or academia interested in understanding and predicting consumer choices, demand and market share.
Additional information about the course and registration can be found at: http://web.mit.edu/professional/short-programs/courses/discrete_choice_analysis.html
Discrete Choice Analysis has been taught at MIT annually for over 25 years. The instructors have both wide and deep formal credentials and practical experience in discrete choice modeling, including key academic contributions to the field. The lecturer-In-Charge is Moshe Ben-Akiva. Professor Ben-Akiva has coauthored two books, including the textbook Discrete Choice Analysis, published by MIT Press, and over 200 papers in refereed journals or conference proceedings. He has developed many of the discrete choice and demand modeling techniques that are being widely applied in a variety of disciplines and industries.
One full-tuition and multiple half-tuition scholarships will be awarded. The tuition includes course materials and two social events, and does not include costs associated with travel and accommodations during the course. Individuals who wish to apply for a scholarship should send a current CV and motivation letter to Katie Rosa at email@example.com. The application letter should clearly explain the following:
- Your objectives and motivation for taking this course.
- Your research and how this course will be relevant and helpful with your area of
- Your past training and honors/recognition if applicable
Professor Ben-Akiva will evaluate all applications, and the application deadline is Monday, May 7, 2012.
Interested in attending, but don’t meet scholarship requirements? Registrations are still being accepted for all other individuals. Group rates are available. Please see http://web.mit.edu/professional/short-programs/enrolling.html for complete information.