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This document provides an overview of random utility models which are used to describe discrete choice behavior. It discusses the underlying principles, different families of models, and practical issues with implementation. Random utility models conceptualize choice as utility maximization where utilities are composed of observable and random components. The probabilities of choice emerge from assumptions made about the distributions of the random elements. The three main families of models are distinguish

Author

scorober87

Language

EN