2001Medical Entomology and ZoologyRequires access

Logit and Probit: Ordered and Multinomial Models

Vani K. Borooah

Open publisher page 362 citations

Abstract

Series Editor's Introduction Preface 1. Introduction 2. Ordered Models/ Introduction Introduction Methodology Application to Deprivation Status Estimation Over Subsamples: Characteristics versus coefficients 3. Multinomial Logit / Introduction A Random Utility Model The Class of Logit Models: Multinomial and conditional Multinomial Logit Application to Occupational Outcomes Conditional Logit and the Independence of Irrelevant Alternatives 4. Program Listings References

About this research paper

What this paper is about

Series Editor's Introduction Preface 1. Introduction 2. Ordered Models/ Introduction Introduction Methodology Application to Deprivation Status Estimation Over Subsamples: Characteristics versus coefficients 3. Multinomial Logit / Introduction A Random Utility Model The Class of Logit Models: Multinomial and conditional Multinomial Logit Application to Occupational Outcomes Conditional Logit and the Independence of Irrelevant Alternatives 4. Program Listings References

Why it matters

OpenAlex reports 362 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

Series Editor's Introduction Preface 1. Introduction 2. Ordered Models/ Introduction Introduction Methodology Application to Deprivation Status Estimation Over Subsamples: Characteristics versus coefficients 3. Multinomial Logit / Introduction A Random Utility Model The Class of Logit Models: Multinomial and conditional Multinomial Logit Application to Occupational Outcomes Conditional Logit and the Independence of Irrelevant Alternatives 4. Program Listings References

Key concepts: Multinomial probit, Multinomial logistic regression, Ordered probit, Mixed logit, Logit, Econometrics, Probit, Multinomial distribution

Related papers

Back to paper searchBrowse research topicsOriginal source
Logit and Probit: Ordered and Multinomial Models — Research Paper | ScholarLens