THE USE OF CLUSTER ANALYSIS IN THE STUDY OF REGIONAL DIFFERENTIATION OF RUSSIAN YOUNG GENERATION REPRODUCTION
Abstract
Historically, there have been significant differences between the various parts of Russia as regards socio-economic parameters. Clearly, the use of a single set of measures to address demographic problems in different parts of Russia cannot be effective. This situation requires a differentiated approach based on the allocation of groups of regions that are similar in features of the current demographic situation.
The purpose of the study was to identify the regional differentiation of the processes of young generation reproduction. The authors performed an agglomerative hierarchical clustering algorithm to identify groups of regions characterised by similar features in the sphere of reproduction. The analysis enabled to reveal five groups of regions where the situation with young population has characteristic features.
The study has allowed drawing a number of theoretical and practical conclusions aimed at improving the country’s state youth policy. In addition, this research has shown that statistical cluster analysis can be considered as an effective tool of development of practical recommendations for prompt solving problems among youth. Therefore, this type of analysis can be integrated as an analytical tool in the research component of the state youth policy.
About the Authors
Oksana M. Shubat
Ural Federal University
Russian Federation
(Ekaterinburg, Russia)
Russian Federation
(Ekaterinburg, Russia)
Anzhelika P. Karaeva
Ural Federal University
Russian Federation
(Ekaterinburg, Russia)
Russian Federation
(Ekaterinburg, Russia)
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For citations:
Shubat O.M., Karaeva A.P. THE USE OF CLUSTER ANALYSIS IN THE STUDY OF REGIONAL DIFFERENTIATION OF RUSSIAN YOUNG GENERATION REPRODUCTION. Voprosy statistiki. 2017;(2):48-59. (In Russ.)
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