Logit and Probit
Ordered and Multinomial Models
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Go to College Publishing WebsiteDescription
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.
Contents
Series Editor’s Introduction
Series Editor’s Introduction
Preface
Preface
1. Introduction
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
4. Program Listings
References
References
Description
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.
Contents
Series Editor’s Introduction
Series Editor’s Introduction
Preface
Preface
1. Introduction
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
4. Program Listings
References
References
November 2001 | 104 pages | Sage US
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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.
Table Of Contents:
- 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