東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The distribution of Income and wealt...

Clementi, Fabio.

Linked to FindBook

Google Book

Amazon

博客來

The distribution of Income and wealth = parametric modeling with the κ-generalized family /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The distribution of Income and wealth/ by Fabio Clementi, Mauro Gallegati.
Reminder of title:	parametric modeling with the κ-generalized family /
Author:	Clementi, Fabio.
other author:	Gallegati, Mauro.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xvi, 177 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Income distribution - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-27410-2
ISBN:	9783319274102$q(electronic bk.)

The distribution of Income and wealth = parametric modeling with the κ-generalized family /
Clementi, Fabio.

The distribution of Income and wealthparametric modeling with the κ-generalized family /[electronic resource] :by Fabio Clementi, Mauro Gallegati. - Cham :Springer International Publishing :2016. - xvi, 177 p. :ill., digital ;24 cm. - New economic windows,2039-411X. - New economic windows..

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.

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.

ISBN: 9783319274102$q(electronic bk.)

Standard No.: 10.1007/978-3-319-27410-2doiSubjects--Topical Terms:

649329
Income distribution
--Mathematical models.

LC Class. No.: HB523

Dewey Class. No.: 330

The distribution of Income and wealth = parametric modeling with the κ-generalized family /
LDR:03471nmm a2200325 a 4500 001 2029806
003 DE-He213
005 20160811145201.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319274102$q(electronic bk.)
020 $a 9783319274089$q(paper)
024 7 $a 10.1007/978-3-319-27410-2 $2 doi
035 $a 978-3-319-27410-2
040 $a GP $c GP
041 0 $a eng
050 4 $a HB523
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
082 0 4 $a 330 $2 23
090 $a HB523 $b .C626 2016
100 1 $a Clementi, Fabio. $3 2181066
245 1 4 $a The distribution of Income and wealth $h [electronic resource] : $b parametric modeling with the κ-generalized family / $c by Fabio Clementi, Mauro Gallegati.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xvi, 177 p. : $b ill., digital ; $c 24 cm.
490 1 $a New economic windows, $x 2039-411X
505 0 $a 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.
520 $a 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.
650 0 $a Income distribution $x Mathematical models. $3 649329
650 0 $a K-distribution (Probability theory) $3 2181068
650 0 $a Wealth $x Mathematical models. $3 883917
650 0 $a Game theory. $3 532607
650 1 4 $a Economics. $3 517137
650 2 4 $a Econometrics. $3 542934
650 2 4 $a Socio- and Econophysics, Population and Evolutionary Models. $3 1245758
650 2 4 $a Organizational Studies, Economic Sociology. $3 1566071
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 891081
650 2 4 $a Game Theory, Economics, Social and Behav. Sciences. $3 891103
700 1 $a Gallegati, Mauro. $3 2181067
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a New economic windows. $3 2055397
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-27410-2
950 $a Economics and Finance (Springer-41170)