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, 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
Contents
1. Introduction;
2. The binary model;
3. Maximum likelihood
estimation of the binary logit model;
4. Some statistical tests
and measures of fit;
5. Outliers,
misclassification of outcomes, and omitted variables;
6. Analyses of separate
samples;
7. The standard multinomial
logit model;
8. Discrete choice of random
utility models;
9. The origins of the
logistic function.
420 pages