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This lecture covers the nested logit model in the context of discrete choice, focusing on the choice probabilities within and across nests. It explains the expected maximum utility and the probability models for different alternatives, such as car and bus. The instructor discusses the estimation of parameters and the implications of the model on choice behavior.