Regression Analysis of Count Data

Econometric Society Monographs #53

by A. Colin Cameron, Pravin K. Trivedi

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, now in its second edition, 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 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 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.

597 pages, Kindle Edition

First published December 9, 1994

Reviews

[Ruoying Zhou · Rating 4 out of 5]

A comprehensive reference for those who are interested in modeling count data. Suitable for readers of intermediate and above level.