The Distribution of Income and Wealth Parametric Modeling with the κ-Generalized Family /

• Main Authors: Clementi, Fabio (Author), Gallegati, Mauro (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Edition: 1st ed. 2016.
• Series: New Economic Windows,
• Subjects: Game theory.; Sociophysics.; Econophysics.; Statistics.; Econometrics.; Economic sociology.; Economics.; Socio- and Econophysics, Population and Evolutionary Models.; Organizational Studies, Economic Sociology.; Statistics for Business/Economics/Mathematical Finance/Insurance.; Game Theory, Economics, Social and Behav. Sciences.

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 c...

Table of Contents:

• Introduction
• The Revived Interest in the Problems of Income and Wealth Distribution
• Re-incorporating Distributional Issues Into the Main Body of Economic Analysis
• Aim and Contents of this Book
• The Parametric Approach to Income and Wealth Distributional Analysis
• The Idea of a Parametric Model for Income and Wealth Distributions
• Brief History of the Models for Studying Income and Wealth Distributions
• The κ-Generalized Distribution
• Underlying Stochastic Process
• Empirical Results and Comparisons to Alternative Income Distributions
• The κ-Generalized Mixture Model for the Size Distribution of Wealth
• Motivation
• Model Specification
• Moments of the κ-Generalized Mixture Model for Net Wealth Distribution
• The Lorenz Curve and the Gini Index of the Net Wealth Distribution Model
• Empirical Results and Comparison of Finite Mixture Models for Net Wealth Distribution
• Four-Parameter Extensions of the κ-Generalized Distribution
• Definitions and Basic Properties
• Population Characteristics
• Empirical Results and Comparisons to Alternative Four-Parameter Statistical Distributions
• Conclusions
• Appendices
• References
• Author Index
• Subject Index.