Regression Analysis of Count Data

Informationen zum Autor A. Colin Cameron is Professor of Economics at the University of California, Davis. His research and teaching interests span a range of topics in microeconometrics. He is a past director of the Center on Quantitative Social Science at the University of California, Davis and is currently an associate editor of the Stata Journal. He is coauthor (with Pravin K. Trivedi) of the first edition of Regression Analysis of Count Data (Cambridge, 1998) and of Microeconometrics: Methods and Applications (Cambridge, 2005). Klappentext This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events. Zusammenfassung Students in both social and natural sciences often seek regression methods to explain the frequency of events! such as visits to a doctor! auto accidents! or new patents awarded. The second edition provides the most comprehensive and up-to-date account of models and methods to interpret such data. Inhaltsverzeichnis 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. Endogenous regressors and selection; 11. Flexible methods for counts; 12. Bayesian methods for counts; 13. Measurement errors.

Product details

• Authors: A. Colin Cameron, A. Colin (University of California Cameron, A. Colin Trivedi Cameron, Adrian Colin Cameron, Pravin Trivedi, Pravin K. Trivedi, Pravin K. (Indiana University Trivedi
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Paperback / Softback
• Released: 27.05.2013
• EAN: 9781107667273
• ISBN: 978-1-107-66727-3
• No. of pages: 596
• Series: Econometric Society Monographs; Econometric Society Monographs
• Subjects: Natural sciences, medicine, IT, technology > Mathematics; Social sciences, law, business > Business > Miscellaneous