Regression Analysis of Count Data

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.