Lecture

Choice Models: Logit Model Derivation

Description

This lecture introduces the logit model for choice with multiple alternatives, focusing on the derivation process. It covers topics such as the error term in choice models, the concept of choice sets at both the population and individual levels, and the challenges in generating choice sets. The instructor explains the availability conditions and the choice model formulation, providing insights into the probabilistic choice behavior.

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