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Lecture
Derivation of the logit model
Description
This lecture covers the derivation of the logit model in the context of choice models, focusing on the error term, choice sets, availability conditions, and the choice model itself. It explains the concepts of universal and individual choice sets, the generation of choice sets, and the assumptions made in modeling awareness and distance. The instructor discusses the conditions for availability and the formulation of the choice model using probability functions.
Official source
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