1.202J -- Demand Modeling
Course Description: Theory and application of modeling and statistical methods for analysis and forecasting of demand for facilities, services, and products. Topics include review of probability and statistics, estimation and testing of linear regression models, theory of individual choice behavior, derivation, estimation, and testing of discrete choice models (including logit, nested logit, GEV, probit, and mixture models), estimation under various sample designs and data collection methods (including revealed and stated preferences), sampling, aggregate forecasting methods, and iterative proportional fitting and related methods. Lectures reinforced with case studies, which require specification, estimation, testing, and analysis of models using data sets from actual applications.

This class is at the Graduate level
This course is also known as: ESD.212J
Instructor: M. E. Ben-Akiva
Prerequisites: Permission of instructor

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