Regression Analysis of Count Data

A. Colin Cameron; Pravin K. Trivedi

doi:10.1017/CBO9781139013567

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.

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Contents

Frontmatter
pp i-vi
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Dedication
pp vii-viii
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Contents
pp ix-xiv
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List of Figures
pp xv-xvi
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List of Tables
pp xvii-xx
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Preface
pp xxi-xxiv
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Preface to the First Edition
pp xxv-xxviii
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1 - Introduction
pp 1-20
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2 - Model Specification and Estimation
pp 21-68
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3 - Basic Count Regression
pp 69-110
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4 - Generalized Count Regression
pp 111-176
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5 - Model Evaluation and Testing
pp 177-224
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6 - Empirical Illustrations
pp 225-262
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7 - Time Series Data
pp 263-303
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8 - Multivariate Data
pp 304-340
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9 - Longitudinal Data
pp 341-384
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10 - Endogenous Regressors and Selection
pp 385-412
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11 - Flexible Methods for Counts
pp 413-448
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12 - Bayesian Methods for Counts
pp 449-467
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13 - Measurement Errors
pp 468-500
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A - Notation and Acronyms
pp 501-504
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B - Functions, Distributions, and Moments
pp 505-508
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C - Software
pp 509-510
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References
pp 511-542
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Author Index
pp 543-552
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Subject Index
pp 553-566
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Miscellaneous Endmatter
pp 567-567
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Regression Analysis of Count Data

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Contents

Frontmatter
pp i-vi

Dedication
pp vii-viii

Contents
pp ix-xiv

List of Figures
pp xv-xvi

List of Tables
pp xvii-xx

Preface
pp xxi-xxiv

Preface to the First Edition
pp xxv-xxviii

1 - Introduction
pp 1-20

2 - Model Specification and Estimation
pp 21-68

3 - Basic Count Regression
pp 69-110

4 - Generalized Count Regression
pp 111-176

5 - Model Evaluation and Testing
pp 177-224

6 - Empirical Illustrations
pp 225-262

7 - Time Series Data
pp 263-303

8 - Multivariate Data
pp 304-340

9 - Longitudinal Data
pp 341-384

10 - Endogenous Regressors and Selection
pp 385-412

11 - Flexible Methods for Counts
pp 413-448

12 - Bayesian Methods for Counts
pp 449-467

13 - Measurement Errors
pp 468-500

A - Notation and Acronyms
pp 501-504

B - Functions, Distributions, and Moments
pp 505-508

C - Software
pp 509-510

References
pp 511-542

Author Index
pp 543-552

Subject Index
pp 553-566

Miscellaneous Endmatter
pp 567-567

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Regression Analysis of Count Data

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