Logit and Probit Ordered and Multinomial Models [Paperback]

This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unordered, against the backdrop of examples relating to socioeconomic inequality.  The book includes exposition of the important distinction between odds-ratios and risk-ratios, logit versus probit (and, vice-versa) as well as a step-by-step explanation of the practical computing procedures that underpin the analysis.  

This book discusses the estimation, simulation, and interpretation of models with multiple outcomes, when these outcomes are either ordered or unordered, against the backdrop of examples relating to socioeconomic inequality.  The book includes exposition of the important distinction between odds-ratios and risk-ratios, logit versus probit (and, vice-versa) as well as a step-by-step explanation of the practical computing procedures that underpin the analysis.  

Series Editors 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