Discrete Choice Manual and Videos
Discrete Choice Manual
- A Self Instructing Course in Mode Choice Modeling: Multinomial and
Nested Logit Models, prepared for U.S. Department of Transportation,
Federal Transit Administration, F.S. Koppelman and C. Bhat, 2006.
View Manual as PDF
Discrete Choice Videos
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General introduction to choice modeling (Chandra Bhat)
- Introduction and overview (Siva Srinivasan)
- Elements of the choice process (Marisol Castro)
- Utility-based choice theory (Ipek Sener)
- Components of utility (Raghu Sidharthan)
- Binary choice (BC) models: Structure and error distributions (Abdul Pinjari)
- BC models: Logit/probit models and location/scale invariance (Naveen Eluru)
- Data (Siva Srinivasan)
- BC models: Maximum likelihood estimation (Nazneen Ferdous)
- BC models: Fit measures (Jeff LaMondia)
- BC models: Specification (Aruna Sivakumar)
- BC models: Interpretation (Rajesh Paleti)
- BC models: Hypothesis testing (Abdul Pinjari)
- Multinomial logit (MNL) model: Overview, structure, and scale/location invariance (Jessica Guo)
- MNL model: Specification & interpretation (Aruna Sivakumar)
- MNL model: IIA property (Rachel Copperman)
- MNL model: Elasticity/marginal effects and interpretation (Rajesh Paleti)
- Consumer surplus and compensating variation from MNL models
- MNL model: Model building, market segmentation, and closing (Elizabeth Sall)