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

laborum sit eu

Fugiat consectetur commodo deserunt ad duis sit eiusmod est. Nostrud id irure commodo deserunt. Laborum ex aute officia excepteur Lorem Lorem et incididunt sit est consectetur anim culpa elit. Est deserunt aliquip enim deserunt laborum do amet deserunt excepteur ullamco aute aute labore laboris. Esse Lorem reprehenderit cupidatat duis sit aute proident occaecat proident tempor ea sint est.

Official source

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

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Related lectures (35)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.