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Modeling income distributions and Lorenz curves

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Cover of 'Modeling income distributions and Lorenz curves'

Table of Contents

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    Book Overview
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    Chapter 1 A New Model of Personal Income Distribution: Specification and Estimation
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    Chapter 2 A Function for Size Distribution of Incomes
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    Chapter 3 Some Generalized Functions for the Size Distribution of Income
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    Chapter 4 Efficient Estimation of the Lorenz Curve and Associated Inequality Measures from Grouped Observations
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    Chapter 5 Distribution and Mobility of Wealth of Nations
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    Chapter 6 A Guide to the Dagum Distributions
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    Chapter 7 Pareto and Generalized Pareto Distributions
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    Chapter 8 The Generalized Beta Distribution as a Model for the Distribution of Income: Estimation of Related Measures of Inequality
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    Chapter 9 Parametric Lorenz Curves: Models and Applications
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    Chapter 10 Maximum Entropy Estimation of Income Distributions from Bonferroni Indices
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    Chapter 11 New Four- and Five-Parameter Models for Income Distributions
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    Chapter 12 Fuzzy Monetary Poverty Measures under a Dagum Income Distributive Hypothesis
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    Chapter 13 Modelling Lorenz Curves: Robust and Semi-parametric Issues
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    Chapter 14 Modelling Inequality with a Single Parameter
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    Chapter 15 Lorenz Curves and Generalised Entropy Inequality Measures
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    Chapter 16 Estimating Income Distributions Using a Mixture of Gamma Densities
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    Chapter 17 Inequality in Multidimensional Indicators of Well-Being: Methodology and Application to the Human Development Index
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Title
Modeling income distributions and Lorenz curves
Published by
Springer, January 2008
DOI 10.1007/978-0-387-72796-7
ISBNs
978-0-387-72756-1, 978-0-387-72796-7
Authors

Duangkamon Chotikapanich

Editors

Chotikapanich, Duangkamon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 5%
Italy 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Master 5 26%
Researcher 4 21%
Other 2 11%
Professor > Associate Professor 1 5%
Other 0 0%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 21%
Mathematics 3 16%
Social Sciences 3 16%
Business, Management and Accounting 2 11%
Physics and Astronomy 1 5%
Other 3 16%
Unknown 3 16%