This paper studies the estimation of a simple binary choice model in which explanatory variables include nonstationary variables and the distribution of the model is not known. We find a set of conditions under which the coefficients of the nonstationary variables are identified. We show that...

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 --...

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...

The book provides graduate students and researchers with an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Proper count data probability models allow for rich inferences, both with respect to the...