APPLICATION OF THE CLUSTER ANALYSIS METHOD IN ASSESSMENT OF THE RATE OF UNEMPLOYMENT IN KAZAKHSTAN

The purpose of research. Paper is to study the labor market in Kazakhstan in the regional context using cluster analysis methods and identify the peculiarities of the situation at the labor market of country’s territorial units in order to define the impact of a set of specific factors on unemployment.
Methodology. The method used to create clusters of objects (across 17 territorial units of Kazakhstan) is cluster analysis in combination with quantitative method of correlation and regression analysis. A segmentation of regions is observed for the years of 2014 to 2019, based on selected indicators of the labor market situation. The data collected from the databases of the official statistical information of the Statistics Committee of the Ministry of National Economy of Kazakhstan.
Originality / value of the research. The current state of the labor market in regions of Kazakhstan (14 regions and 3 cities of national importance) is analyzed, and a system of statistical indicators that influence the state and development of this market is formed. Based on the obtained results, a differentiated approach of developing measures was proposed in order to reduce the unemployment in the country.
Research results. The main results obtained include: The author carried out the clustering of regions of Kazakhstan by the level of labor market development using the method of cluster analysis. According to the results of multidimensional grouping, 3 clusters were obtained, which characterize the specifics of the economic situation of the labor market in the cities and regions of the country. The results of the calculations performed are presented, and the main measures and directions are proposed to reduce unemployment.

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