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Econometric Analysis of Count Data

  • Rainer Winkelmann

Table of contents

  1. Front Matter
    Pages I-XV
  2. Pages 1-5
  3. Pages 63-126
  4. Pages 127-142
  5. Pages 203-239
  6. Pages 251-280
  7. Back Matter
    Pages 281-333

About this book

Introduction

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 stochastic count process that generated the data, and with respect to predicting the distribution of outcomes. The book starts with a presentation of the benchmark Poisson regression model. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling. Testing and estimation is discussed from frequentist and Bayesian perspectives. Finally, applications are reviewed in fields such as economics, marketing, sociology, demography, and health sciences. The fifth edition contains several new topics, including copula functions, Poisson regression for non-counts, additional semi-parametric methods, and discrete factor models. Other sections have been reorganized, rewritten, and extended.  

Keywords

Conditional Distribution Models Count Data Count Variables Econometric Modeling calculus

Authors and affiliations

  • Rainer Winkelmann
    • 1
  1. 1.Socioeconomic InstituteUniversity of ZurichZürichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-78389-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-540-77648-2
  • Online ISBN 978-3-540-78389-3
  • Buy this book on publisher's site