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Multi-group segregation for nominal and ordinal categorical data: An application to socio-religious groups in India

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Abstract This study is an attempt to construct some summary measures of multi-group segregation for nominal and ordinal categorical data. These measures are developed by taking into account the association… Click to show full abstract

Abstract This study is an attempt to construct some summary measures of multi-group segregation for nominal and ordinal categorical data. These measures are developed by taking into account the association between identity groups and unordered or ordered categories of the well-being indicator and also the disproportionate representation of the populations of the identity groups across the unordered or ordered categories of the well-being indicator. The newly developed measures are characterized and applied to assess the disparities in education and occupational status among the socio-religious groups in India. Empirical findings reveal the existence of between-group inequality in education and occupation in India, and some relevant policies to reduce these inequalities are also suggested.

Keywords: multi group; ordinal categorical; segregation nominal; group segregation; group; nominal ordinal

Journal Title: Journal of Policy Modeling
Year Published: 2019

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