Income Inequality Measures

Johan Fellman

doi:10.4236/tel.2018.83039

Income Inequality Measures

Johan Fellman

Ekonomisk statistik, Helsingfors

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Sammanfattning

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.

Originalspråk	Engelska
Referentgranskad vetenskaplig tidskrift	Theoretical Economics Letters
Volym	8
Nummer	03
Sidor (från-till)	557-574
Antal sidor	18
ISSN	2162-2078
DOI	https://doi.org/10.4236/tel.2018.83039
Status	Publicerad - 14.02.2018
MoE-publikationstyp	A1 Originalartikel i en vetenskaplig tidskrift

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112 Statistik

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10.4236/tel.2018.83039Licens: CC BY

TEL_2018021315412915Publicerad version, 387 KBLicens: CC BY

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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. ",

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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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DO - 10.4236/tel.2018.83039

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Income Inequality Measures

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