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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Behavioral Sciencearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Behavioral Science
Article . 1964 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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On measuring inequality

Authors: H R, Alker; B M, Russett;

On measuring inequality

Abstract

Inequality and concentration are central concepts in all the social sciences. Economists study inequalities in the distribution of wealth, income, productivity, or goods. Sociologists may be concerned with social mobility-inequality of opportunity-or with inequalities in living conditions-the degree to which minority groups are concentrated in particular residential areas. A political scientist must be concerned with political inequality-concentrated, unequally distributed power. He may, for instance, need a measure of legislative malapportionment. Though the variables may be different, the basic question is the same: What is the degree to which wealth, or good living conditions, or power, are concentrated in a society? Since the questions are conceptually similar, it is reasonable to expect that the problems of quantification might be similar, and that the tools of measurement developed in one social science might be applicable to studies in another field. Yet there has been little interchange across disciplines, and scholars in each field persist in using techniques which are in some respects inferior to those used other fields. This article examines a number of measures of inequality, evaluates their strengths and weaknesses, and compares the results given by some of the measures when they were applied to data on representation state legislatures and on land distribution.

Related Organizations
Keywords

Economics, Social Conditions, Government, Politics, Statistics as Topic, Legislation as Topic, Methods, Humans, Social Sciences, Agriculture

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 1%
Average
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