Modeling income distributions and Lorenz curves [electronic resource] / edited by Duangkamon Chotikapanich.

The parameterization of income distributions using Lorenz Curves is a useful technique to analyze the characteristics of income inequality within a given population. It provides a way of describing how data are generated, why the level of inequality is what it is, and how these factors impact poorer...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Duangkamon Chotikapanich
Format: Electronic eBook
Language:English
Published: New York : Springer, ©2008.
Series:Economic studies in inequality, social exclusion and well-being ; v. 5.
Subjects:

MARC

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490 1 |a Economic studies in inequality, social exclusion and well-being ;  |v v. 5. 
504 |a Includes bibliographical references and index. 
505 0 0 |g pt. 1. Collection of influential papers.  |g 1.  |t A new model of personal income distribution: specification and estimation /  |r Camilo Dagum.  |g 2.  |t A function for size distribution of incomes /  |r S.K. Singh and G.S. Maddala.  |g 3.  |t Some generalized functions for the size distribution of income /  |r James B. McDonald.  |g 3.  |t Efficient estimation of the Lorenz curve and associated inequality measures from grouped observations /  |r N.C. Kakwani and N. Podder.  |g 4.  |t Distribution and mobility of wealth of nations /  |r Richard Paap and Herman K. van Dijk --  |g pt. 2.  |t Survey papers on Lorenz functions and the generalizations and extensions of income distributions.  |g 6.  |t A guide to the dagum distributions /  |r Christian Kleiber.  |g 7.  |t Pareto and generalized Pareto distributions /  |r Barry C. Arnold.  |g 8.  |t The generalized beta distribution as a model for the distribution of income: estimation of related measures of inequality /  |r James B. McDonald and Michael Ransom.  |g 9.  |t Parametric Lorenz curves: models and applications /  |r José Maria Sarabia --  |g pt. 3. Current research.  |g 10.  |t Maximum entropy estimation of income distributions from bonferroni indices /  |r Hang Keun Ryu.  |g 11.  |t New four- and five-parameter models for income distributions /  |r William J. Reed and Fan Wu.  |g 12.  |t Fuzzy monetary poverty measures under a dagum income distributive hypothesis /  |r Gianni Betti, Antonella D'Agostino and Achille Lemmi.  |g 13.  |t Modelling Lorenz curves: robust and semi-parametric issues /  |r Frank A. Cowell and Maria-Pia Victoria-Feser.  |g 14.  |t Modelling inequality with a single parameter /  |r J.M. Henle, N.J. Horton, and S.J. Jakus.  |g 15.  |t Lorenz curves and generalised entropy inequality measures /  |r Nicholas Rohde.  |g 16.  |t Estimating income distributions using a mixture of gamma densities /  |r Duangkamon Chotikapanich and William E. Griffiths.  |g 17.  |t Inequality in multidimensional indicators of well-being: methodology and application to the human development index /  |r Quentin Wodon and Shlomo Yitzhaki. 
520 |a The parameterization of income distributions using Lorenz Curves is a useful technique to analyze the characteristics of income inequality within a given population. It provides a way of describing how data are generated, why the level of inequality is what it is, and how these factors impact poorer sections of the population. This book brings together classic papers in the field, including Camilo Daguma (TM)s most influential contribution, survey papers outlining the state-of-the-art of the field, and cutting-edge research contributions. While providing a thorough overview of the methodology. 
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