Logit and Probit: Ordered and Multinomial Models
Vani K. Borooah
Abstract
Vani K. Borooah
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
OpenAlex reports 362 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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