Statistical Support for Analysis of the Social Stratification and Economic Inequality of the Country’s Population
The aim of the article is to summarize the theoretical and methodological as well as information and analytical support for statistical research of economic and social stratification in society and conduct an analysis of the differentiation of the population of Ukraine in terms of the economic compo...
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Format: | Article |
Language: | English |
Published: |
PH "INZHEK"
2017-12-01
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Series: | Problemi Ekonomiki |
Subjects: | |
Online Access: | http://www.problecon.com/export_pdf/problems-of-economy-2017-1_0-pages-55_62.pdf |
Summary: | The aim of the article is to summarize the theoretical and methodological as well as information and analytical support for statistical research of economic and social stratification in society and conduct an analysis of the differentiation of the population of Ukraine in terms of the economic component of social inequality. The theoretical and methodological level of the research is studied, and criteria for social stratification and inequalities in society, systems, models and theories of social stratification of the population are singled out. The indicators of social and economic statistics regarding the differentiation of the population by income level are considered as the research tools. As a result of the analysis it was concluded that the economic inequality of the population leads to changes in the social structure, which requires formation of a new social stratification of society. The basis of social stratification is indicators of the population well-being, which require a comprehensive study. Prospects for further research in this area are the analysis of the components of economic inequality that determine and influence the social stratification of the population of the country, the formation of the middle class, and the study of the components of the human development index as a cross-currency indicator of the socio-economic inequality of the population. |
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ISSN: | 2222-0712 2311-1186 |