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Fellowships Available for the MIT Short Programs Course on Discrete Choice Analysis

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We are pleased to announce the availability of full and partial tuition fellowships for junior professors, postdocs and doctoral students to attend the annual MIT Short Course: 

Discrete Choice Analysis: Predicting Demand and Market Shares

Date: June 17-21, 2013 | Tuition: $3,900 | CEUs: 3.0

Please note that the Fellowship application deadline is Monday, May 1, 2013

Course Description:

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:

Course Instructor:

Discrete Choice Analysis has been taught at MIT annually for over 25 years.  The instructor has 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.

Fellowship Information: 

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 Eunice Kim at kimeu@mit.edu and Katie Rosa at krosa@mit.edu.  The application letter should clearly explain the following:

1. Your objectives and motivation for taking this course.
2. Your research and how this course will be relevant and helpful with your area of research.
3. Your past training and honors/recognition if applicable

Professor Ben-Akiva will evaluate all applications, and the application deadline is Monday, May 1, 2013.

**Interested in attending, but don’t meet scholarship requirements?

Registrations are still being accepted for all other individuals. Group rates are available. 

Please see  for complete information**