The Distribution of Income and Wealth: Parametric Modeling With the ?-generalized Family - Rilegato

Libro 16 di 27: New Economic Windows

Gallegati, Mauro; Clementi, Fabio

 
9783319274089: The Distribution of Income and Wealth: Parametric Modeling With the ?-generalized Family
Rilegato
ISBN 10: 3319274082 ISBN 13: 9783319274089
Casa editrice: Springer Nature, 2016

Sinossi

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 “?-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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Mauro Gallegati is Professor of Economics at the Polytechnic University of Marche (Ancona, Italy). His research includes business fluctuations, nonlinear dynamics, models of financial fragility, and heterogeneous interacting agents. He has published books and many papers in leading journals in the fields of economics, economic history and history of economic analysis, nonlinear mathematics, applied economics, complexity, and econophysics. He has been involved in several international research projects since 2004.

Fabio Clementi, PhD, is Assistant Professor of Economics at the University of Macerata (Italy). His main research interests focus on the size distribution of income, wealth and firms, the business cycle analysis, and the empirical validation of agent-based economic models with real-world data. He has also been involved in national and international research projects in the field of agent-based computational economics.

Dalla quarta di copertina

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 “?-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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2016
Lingua
Inglese
ISBN 10 
3319274082
ISBN 13 
9783319274089
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
196
Contatto del produttore
ProductSafety@springernature.com
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Altre edizioni note dello stesso titolo

9783319801353: The Distribution of Income and Wealth: Parametric Modeling with the κ-Generalized Family

Edizione in evidenza

ISBN 10:  331980135X ISBN 13:  9783319801353
Casa editrice: Springer, 2018
Brossura