Lecture

Discrete Choice Analysis

Description

This lecture introduces Discrete Choice Analysis, a methodology for modeling and predicting consumer behavior. It covers the steps of scale, depth, variable identification, data collection, statistical inference, and application. The lecture also explains the Random Utility Model, joint and marginal probabilities, and the estimation process. Examples of SP questionnaires and RP data are provided to illustrate the concepts. The lecture concludes with a case study on residential telephone service choice modeling.

Official source

https://mediaspace.epfl.ch/media/0_cdc80jrf

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data analysis: Regression analysis

Mathematics

Probability theory: Topics in probability theory

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