Analysis of count data examples

A. Colin Cameron and Pravin K. Trivedi

The second edition is about 35% longer than the first edition.
New topics include Bayesian methods, copulas, and quantile regression for counts.
Expanded material includes time series, semiparametric regression and dependence in multivariate data.
Where relevant topics within chapter are rearranged to place those topics now deemed most important at the head of the chapter.
Programs are available for virtually all of the analysis in the book.

For details on the first edition of this book and other information on counts, now dated, click here.

1	Introduction	1
2	Model Specification and Estimation	21
3	Basic Count Regression	69
4	Generalized Count Regression	111
5	Model Evaluation and Testing	177
6	Empirical Illustrations	225
7	Time Series Data	263
8	Multivariate Data	304
9	Longitudinal Data	341
10	Endogenous Regressors and Selection	385
11	Flexible Methods for Counts	413
12	Bayesian Methods for Counts	449
13	Measurement Errors	468