This book provides the most comprehensive and up-to-date account of regression methods to explain the frequency of events.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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).
Inhaltsangabe
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.
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.
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.
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.
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