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The Distribution of Income and Wealth

Parametric Modeling with the κ-Generalized Family

  • Fabio Clementi
  • Mauro Gallegati

Part of the New Economic Windows book series (NEW)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Fabio Clementi, Mauro Gallegati
    Pages 1-9
  3. Fabio Clementi, Mauro Gallegati
    Pages 11-15
  4. Fabio Clementi, Mauro Gallegati
    Pages 17-52
  5. Fabio Clementi, Mauro Gallegati
    Pages 75-84
  6. Fabio Clementi, Mauro Gallegati
    Pages 85-92
  7. Back Matter
    Pages 93-177

About this book

Introduction

This book presents a systematic overview of cutting-edge research in the field of parametric modeling of personal income and wealth distribution, which allows one to represent how income/wealth is distributed within a given population. The estimated parameters may be used to gain insights into the causes of the evolution of income/wealth distribution over time, or to interpret the differences between distributions across countries. Moreover, once a given parametric model has been fitted to a data set, one can straightforwardly compute inequality and poverty measures. Finally, estimated parameters may be used in empirical modeling of the impact of macroeconomic conditions on the evolution of personal income/wealth distribution. In reviewing the state of the art in the field, the authors provide a thorough discussion of parametric models belonging to the “κ-generalized” family, a new and fruitful set of statistical models for the size distribution of income and wealth that they have developed over several years of collaborative and multidisciplinary research. This book will be of interest to all who share the belief that problems of income and wealth distribution merit detailed conceptual and methodological attention.

Keywords

Distributional Analysis Distributions Economic Inequality Indices Economic Inequality Measurements Income Disparity Analysis Income/wealth Distribution Parametric Model for Income and Wealth Size Distribution of Income κ-generalized Distribution

Authors and affiliations

  • Fabio Clementi
    • 1
  • Mauro Gallegati
    • 2
  1. 1.University of MacerataMacerataItaly
  2. 2.Polytechnic University of MarcheAnconaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-27410-2
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-319-27408-9
  • Online ISBN 978-3-319-27410-2
  • Series Print ISSN 2039-411X
  • Series Online ISSN 2039-4128
  • Buy this book on publisher's site
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