Logit Models from Economics and Other Fields

J. S. Cramer

doi:10.1017/CBO9780511615412

Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.

Review of the hardback:'…the worked examples … will be invaluable for those new to logit analysis.'Short Book Reviews

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Contents

Frontmatter
pp i-ii
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Contents
pp iii-iv
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List of figures
pp v-v
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List of tables
pp vi-viii
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Preface
pp ix-x
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1 - Introduction
pp 1-8
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2 - The binary model
pp 9-32
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3 - Maximum likelihood estimation of the binary logit model
pp 33-55
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4 - Some statistical tests and measures of fit
pp 56-72
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5 - Outliers, misclassification of outcomes, and omitted variables
pp 73-87
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6 - Analyses of separate samples
pp 88-103
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7 - The standard multinomial logit model
pp 104-125
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8 - Discrete choice or random utility models
pp 126-148
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9 - The origins and development of the logit model
pp 149-157
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Bibliography
pp 158-165
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Index of authors
pp 166-167
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Index of subjects
pp 168-173
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Logit Models from Economics and Other Fields

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Contents

Frontmatter
pp i-ii

Contents
pp iii-iv

List of figures
pp v-v

List of tables
pp vi-viii

Preface
pp ix-x

1 - Introduction
pp 1-8

2 - The binary model
pp 9-32

3 - Maximum likelihood estimation of the binary logit model
pp 33-55

4 - Some statistical tests and measures of fit
pp 56-72

5 - Outliers, misclassification of outcomes, and omitted variables
pp 73-87

6 - Analyses of separate samples
pp 88-103

7 - The standard multinomial logit model
pp 104-125

8 - Discrete choice or random utility models
pp 126-148

9 - The origins and development of the logit model
pp 149-157

Bibliography
pp 158-165

Index of authors
pp 166-167

Index of subjects
pp 168-173

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Logit Models from Economics and Other Fields

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