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Regression Analysis of Count Data Revised Edition
Contributor(s): Cameron, A. Colin (Author), Trivedi, Pravin (Author), Cameron, Adrian Colin (Author)

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 ISBN: 1107014166     ISBN-13: 9781107014169
Publisher: Cambridge University Press
OUR PRICE: $157.70  

Binding Type: Hardcover - See All Available Formats & Editions
Published: May 2013
Qty:

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Additional Information
BISAC Categories:
- Business & Economics | Econometrics
- Mathematics | Probability & Statistics - General
Dewey: 330.015
LCCN: 2012043350
Series: Econometric Society Monographs
Physical Information: 1.7" H x 6.2" W x 9.1" L (2.15 lbs) 596 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:
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.

Contributor Bio(s): Cameron, A. Colin: - 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).
 
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