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The Distribution of Income and Wealth Parametric Modeling with the κ-Generalized Family /
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | New Economic Windows,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.