Discrete Choice Analysis
Introduction
Virtual course by Moshe Ben-Akiva on Predicting Individual Behavior and Market Demand, 7-11 Jun 2020
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Revisits
Author: Eunice Kim
MIT Discrete Choice Analysis short course | June 7-11, 2021
Professor Moshe Ben-Akiva is offering a one-week course, live in Zoom, from June 7 to 11, 2021:
The course covers: alternative models including Logit, Probit, Nested Logit, Multivariate Extreme Value, discrete and continuous Logit Mixtures and Hybrid Choice Models; and alternative estimation methods including simulated maximum likelihood, Hierarchical Bayes, instrumental variable methods and random effects in panel data. Recent additions to the course include Foundations of Stated Preference Elicitation: Consumer Behavior and Choice-based Conjoint Analysis by Moshe Ben-Akiva, Daniel McFadden and Kenneth Train, estimation of flexible model specifications using machine learning methods and online applications for optimization and personalization. Each day of this course consists of lectures followed by a computer lab to apply the lectured methods with open-source software and data sets. Initial lectures and lab session review required fundamental concepts.
Partial scholarships (50%) are available for junior faculty, postdocs, and doctoral students.
Additional information is available .