TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Modeling Income Distributions and Lorenz Curves
T2  - Economic Studies in Equality, Social Exclusion and Well-Being
SN  - 9780387727967
AV  - HB139-141 
U1  - 330.015195 23
PY  - 2008///
CY  - New York, NY
PB  - Springer New York
KW  - Economics
KW  - Statistics
KW  - Development Economics
KW  - Econometrics
KW  - Economic policy
KW  - Economics/Management Science
KW  - Statistics for Business/Economics/Mathematical Finance/Insurance
KW  - Economic Policy
N1  - Collection of influential papers -- A New Model of Personal Income Distribution: Specification and Estimation -- A Function for Size Distribution of Incomes -- Some Generalized Functions for the Size Distribution of Income -- Efficient Estimation of the Lorenz Curve and Associated Inequality Measures from Grouped Observations -- Distribution and Mobility of Wealth of Nations -- Survey papers on Lorenz functions and the generalizations and extensions of income distributions -- A Guide to the Dagum Distributions -- Pareto and Generalized Pareto Distributions -- The Generalized Beta Distribution as a Model for the Distribution of Income: Estimation of Related Measures of Inequality -- Parametric Lorenz Curves: Models and Applications -- Current research -- Maximum Entropy Estimation of Income Distributions from Bonferroni Indices -- New Four- and Five-Parameter Models for Income Distributions -- Fuzzy Monetary Poverty Measures under a Dagum Income Distributive Hypothesis -- Modelling Lorenz Curves: Robust and Semi-parametric Issues -- Modelling Inequality with a Single Parameter -- Lorenz Curves and Generalised Entropy Inequality Measures -- Estimating Income Distributions Using a Mixture of Gamma Densities -- Inequality in Multidimensional Indicators of Well-Being: Methodology and Application to the Human Development Index; ZDB-2-SBE
N2  - The parameterization of income distributions and Lorenz Curves is a useful approach for representing how income is distributed within a given population. It provides a way of describing how the data are generated, why the level of inequality is what it is, and what happens to the poorer sections of the population. This book brings together classic papers in the field, including Camilo Dagums 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 of income distribution modeling, the book emphasizes its relevance on development economics and its importance for policy makers who design and assess poverty alleviation and income redistribution policies
UR  - http://dx.doi.org/10.1007/978-0-387-72796-7
ER  -