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)

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_1nn7bqiu

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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