2000•Unpublished venueRequires access

FLEXIBLE MODEL STRUCTURES FOR DISCRETE CHOICE ANALYSIS. IN: HANDBOOK OF TRANSPORT MODELLING

Chandra R. Bhat

Open publisher page 6 citations

Abstract

Econometric discrete choice analysis is an essential component of studying individual choice behavior and is used in many diverse fields to model consumer demand for commodities and services. Typical examples of the use of econometric discrete choice analysis including studying labor force participation, residential location, own or renting of houses in the economic, geography, and regional science fields, choice of travel mode, destination and car ownership levels in the travel demand field, purchase incidence and brand choice in the marketing field and the choice of martial status and number of children in sociology. The article gives an overview of the motivation for, and structure of, advanced discrete choice models derived from random-utility maximization. The chapter is intended to familiarize readers with structural alternatives to the multinomial logit (MLN). The assumptions of MLN formulation are summarized.

About this research paper

What this paper is about

Econometric discrete choice analysis is an essential component of studying individual choice behavior and is used in many diverse fields to model consumer demand for commodities and services. Typical examples of the use of econometric discrete choice analysis including studying labor force participation, residential location, own or renting of houses in the economic, geography, and regional science fields, choice of travel mode, destination and car ownership levels in the travel demand field, purchase incidence and brand choice in the marketing field and the choice of martial status and number of children in sociology. The article gives an overview of the motivation for, and structure of, advanced discrete choice models derived from random-utility maximization. The chapter is intended to familiarize readers with structural alternatives to the multinomial logit (MLN). The assumptions of MLN formulation are summarized.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Econometric discrete choice analysis is an essential component of studying individual choice behavior and is used in many diverse fields to model consumer demand for commodities and services. Typical examples of the use of econometric discrete choice analysis including studying labor force participation, residential location, own or renting of houses in the economic, geography, and regional science fields, choice of travel mode, destination and car ownership levels in the travel demand field, purchase incidence and brand choice in the marketing field and the choice of martial status and number of children in sociology. The article gives an overview of the motivation for, and structure of, advanced discrete choice models derived from random-utility maximization. The chapter is intended to familiarize readers with structural alternatives to the multinomial logit (MLN). The assumptions of MLN formulation are summarized.

Key concepts: Discrete choice, Multinomial logistic regression, Consumer choice, Utility maximization, Econometric model, Economics, Renting, Mode choice

Related papers

Back to paper searchBrowse research topicsOriginal source
FLEXIBLE MODEL STRUCTURES FOR DISCRETE CHOICE ANALYSIS. IN: HANDBOOK OF TRANSPORT MODELLING — Research Paper | ScholarLens