Choice Models: Logit Model Derivation

Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.

Explains the derivation of the logit model in choice models, covering error terms, choice sets, and availability conditions.

Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.

Delves into the logit model's derivation, emphasizing the importance of the independence assumption and parameter normalization during estimation.

Introduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.