Lecture
Deterministic Part: Utility Function Coding
Description
This lecture delves into the deterministic part of the utility function in the logit model for multiple alternatives. The instructor explains how to translate behavioral assumptions into mathematical expressions using variables representing alternative attributes and individual socio-economic characteristics. The lecture focuses on a linear-in-parameter specification of the utility function, where the function is a linear combination of these variables with unknown parameters to be estimated.
In MOOCs (2)
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Instructor
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