Regression Analysis of Count Data
Regression Analysis of Count Data
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Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor, auto accidents or job hiring. This analysis provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors combine theory and practice to make sophisticated methods of analysis accessible to practitioners working with widely different types of data and software. The treatment will be useful to researchers in areas such as applied statistics, econometrics, operations research, actuarial studies, demography, biostatistics, and quantitatively-oriented sociology and political science. The book may be used as a reference work on count models or by students seeking an authoritative overview. The analysis is complemented by template programs available on the Internet through the authors' homepages.
- Authors are the two leading researchers in the field
- Count data is exploding area in econometrics and applied statistical areas in biology, demography, insurance, labor studies, sociology, and political science
- Complemented by template programs on the internet through the authors' homepages
Reviews & endorsements
" ...an impressive piece of work in all respects: it provides the first comprehensive description of the subject, it is mathematically rigorous and easy to read, and it contains useful discussions, interesting applications, various exercises, and a precise presentation of a very large bibliography. This book will become a basic reference for students and researchers." Alain Monfort
"...collects an extensive amount of material which has not been treated before in a textbook. The text is well written and the examples...are very illustrative. Although the book appears in the series of econometric monographs it should also be studied by people from other fields of applied statistics." Mathematical Reviews
Product details
December 2004Adobe eBook Reader
9780511059834
0 pages
0kg
11 b/w illus. 37 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 1. Introduction
- 2. Model specification and estimation
- 3. Basic count regression
- 4. Generalized count regression
- 5. Model evaluation and testing
- 6. Empirical Illustrations
- 7. Time series data
- 8. Multivariate data
- 9. Longitudinal data
- 10. Measurement errors
- 11. Non-random samples and simultaneity
- 12. Flexible methods for counts
- Notations and acronyms
- Functions, Distributions and moments
- Software
- References.
