Regression analysis of count data

Cameron, A. Colin and Trivedi, Pravin K. Regression analysis of count data 2nd ed. New York, United States: Cambridge University Press, 2013.

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Name Description MIMEType Size Downloads
Author Cameron, A. Colin
Trivedi, Pravin K.
Title Regression analysis of count data
Place of Publication New York, United States
Publisher Cambridge University Press
Publication year 2013
Sub-type Research book (original research)
Open Access Status
Volume 53
Edition 2nd
Series Econometric Society Monographs
ISBN 9781107014169
Language eng
Total number of pages 566
Collection year 2014
Formatted Abstract/Summary
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. This book provides the most comprehensive and up-to-date account of models and methods to interpret such data. The authors have conducted research in the field for more than twenty-five years. In this book, they combine theory and practice to make sophisticated methods of analysis accessible to researchers and practitioners working with widely different types of data and software in areas such as applied statistics, econometrics, marketing, operations research, actuarial studies, demography, biostatistics, and quantitative social sciences. The book may be used as a reference work on count models or by students seeking an authoritative overview. Complementary material in the form of data sets, template programs, and bibliographic resources can be accessed on the Internet through the authors' homepages. This second edition is an expanded and updated version of the first, with new empirical examples and more than one hundred new references added. The new material includes new theoretical topics, an updated and expanded treatment of cross-section models, coverage of bootstrap-based and simulation-based inference, expanded treatment of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter on Bayesian methods.

> Gives up-to-date and comprehensive coverage of different types of count data
> Provides a guide to implementation of models that is both systematic and amply illustrated with real empirical examples
> Supported by additional resources such as data, template programs and bibliographic materials valuable to instructors
Keyword Count data models
Cross section and panel data
Q-Index Code AX
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Fri, 13 Dec 2013, 02:35:58 EST by Pravin Trivedi on behalf of School of Economics