The book provides graduate students and researchers with an up-to-date survey of econometric and statistical techniques for the analysis of count data, with a focus on regression models. Specialised discrete data probability models are required in order to interpret results in terms of an...

Cover -- Half-title -- Series-title -- Title -- Copyright -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- CHAPTER 1 Introduction -- 1.1 Poisson Distribution -- 1.1.1 Poisson as the "Law of Rare Events" -- 1.1.2 Poisson Process -- 1.1.3 Waiting Time Distributions --...

As with most analyses involving microdata, applications of count data models must somehow account for unobserved heterogeneity. The count model literature has generally assumed that unobservables and observed covariates are statistically independent. Yet for many applications this independence...

This paper focuses on developing and adapting statistical models of counts (non-negative integers) in the context of panel data and using them to analyze the relationship between patents and R&D expenditures. The model used is an application and generalization of the Poisson distribution to...

This book presents econometric methods for the analysis of event counts. It reviews the recent literature and introduces several new results. While the emphasis is on methods for cross-section data, the modelling of time series and panel count data is discussed as well. Topics include: dependent...