Measuring inequality in society

Article

Chan, Ka Ching, Lenard, Christopher T., Mills, Terence M. and Williams, Ruth F. G.. 2019. "Measuring inequality in society." Communications in Statistics: Theory and Methods. 48 (1), pp. 88-99. https://doi.org/10.1080/03610926.2018.1501486
Article Title

Measuring inequality in society

ERA Journal ID791
Article CategoryArticle
AuthorsChan, Ka Ching (Author), Lenard, Christopher T. (Author), Mills, Terence M. (Author) and Williams, Ruth F. G. (Author)
Journal TitleCommunications in Statistics: Theory and Methods
Journal Citation48 (1), pp. 88-99
Number of Pages12
Year2019
PublisherTaylor & Francis
Place of PublicationUnited States
ISSN0361-0926
1532-415X
Digital Object Identifier (DOI)https://doi.org/10.1080/03610926.2018.1501486
Abstract

Governments develop policies to reduce unwarranted inequalities in society. Hence, there is a need for well-founded measures of inequality to monitor the impact of such policies. The discipline of economics has developed many such measures over the last century. Although these measures have focused on measuring inequality of incomes, they can be adapted to other economic variables. In this multidisciplinary, review paper, we present an introduction to measures of economic inequality from a mathematical perspective, and highlight their policy implications. This is an area in which mathematics and economics can contribute to justice and fairness in society.

Keywordsinequality; economics; Lorenz; Gini; Atkinson; Theil
ANZSRC Field of Research 2020490501. Applied statistics
380202. Econometric and statistical methods
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Byline AffiliationsSchool of Management and Enterprise
La Trobe University
Institution of OriginUniversity of Southern Queensland
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