Lecture

Binary Choice Model

Description

This lecture introduces the binary choice model, which involves two alternatives and error terms. It covers the assumptions about the random variables, the mean, variance, and distribution of the error terms. The lecture also discusses alternative specific constants, shift invariance, scale invariance, and the Extreme Value distribution. Additionally, it explores the properties of the Extreme Value distribution, the Logistic distribution, and the binary logit model.

Official source

https://mediaspace.epfl.ch/media/0_qbnkn8lt

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis, Survival analysis

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