Income Inequality Measures

Johan Fellman

doi:10.4236/tel.2018.83039

Income Inequality Measures

Johan Fellman

Statistics, Helsinki

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

Income distributions are commonly unimodal and skew with a heavy right tail. Different skew models, such as the lognormal and the Pareto, have been proposed as suitable descriptions of income distribution and applied in specific empirical situations. More wide-ranging tools have been introduced as measures for general comparisons. In this study, we review the income analysis methods and apply them to specific Lorenz models.

Original language	English
Peer-reviewed scientific journal	Theoretical Economics Letters
Volume	8
Issue number	03
Pages (from-to)	557-574
Number of pages	18
ISSN	2162-2078
DOIs	https://doi.org/10.4236/tel.2018.83039
Publication status	Published - 14.02.2018
MoE publication type	A1 Journal article - refereed

Keywords

112 Statistics and probability
Lorenz Curve
Gini Index
Pietra Index
Pareto Distribution
Simplified Rao-Tam Distribution
Chotikapanich Distribution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.4236/tel.2018.83039Licence: CC BY

TEL_2018021315412915Final published version, 387 KBLicence: CC BY

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KW - 112 Statistics and probability

KW - Lorenz Curve

KW - Gini Index

KW - Pietra Index

KW - Pareto Distribution

KW - Simplified Rao-Tam Distribution

KW - Chotikapanich Distribution

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Income Inequality Measures

Abstract

Keywords

UN SDGs

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