The distribution of income and wealth : parametric modeling with the κ-generalized family /
Hidden Bibliographic Details
| Other authors / contributors: | Gallegati, M. (Mauro), author.
|
|---|
| ISBN: | 9783319274102
3319274104
9783319274089
3319274082
|
|---|
| Digital file characteristics: | PDF
text file
|
|---|
| Notes: | Includes bibliographical references (pages 165-174) and index of citations.
Online resource and print version record; title from PDF title page (SpringerLink, viewed September 20, 2017).
|
|---|
| Summary: | 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 ℓ́ℓℓð-generalizedℓ́ℓ 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.
"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."--Publisher's description
|
|---|
| Other form: | Print version: Clementi, Fabio. Distribution of income and wealth. Switzerland : Springer, [2016] 3319274082
Erscheint auch als: Druck-Ausgabe Clementi, Fabio. The Distribution of Income and Wealth . Parametric Modeling with the κ-Generalized Family
|
|---|
| Standard no.: | 10.1007/978-3-319-27410-2
|
|---|
