Table of Contents

Preface; 1. Introduction; 2. Discrete regression models; 3. Probabilistic-choice models; 4. Discriminant analysis; 5. Multivariate qualitative variables; 6. Censored and truncated regression models; 7. Simultaneous-equations models with truncated and censored variables; 8. Two-stage estimation methods; 9. Models with self-selectivity; 10. Disequilibrium models; 11. Some applications: unions and wages; Appendix: Some results on truncated distributions; Bibliography; Index.

Promotional Information

This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated.

Reviews

'The book does an excellent job of surveying its chosen topics ... such a comprehensive treatment as this book provides has previously been lacking. Thus the book fills an important gap in the literature. It will no doubt be widely read and used. It should be useful both to individuals interested in these topics at a theoretical level and those interested in applications. In the latter regard, an excellent feature of the book is that it contains a lot of empirical examples.' Journal of the American Statistical Association '... this book represents a significant contribution to the literature on limited dependent and qualitative variables. It should serve as a major reference for researchers doing empirical work with these models. It should also be useful to graduate students as well as econometric theorists.' American Journal of Agricultural Economics 'To summarise, the book contains a very useful and clearly written account of many of the aspects of the limited dependent and qualitative variable models with an extensive use of empirical examples. The econometric issues raised by the models are neatly produced without taxing the reader too greatly. There will undoubtedly be other books appearing in the near future in the same area. It is to Maddala's credit that he has produced a book which, by virtue of its extensive coverage, will be very hard to beat.' The Economic Journal