Abstract:

The regression method for the analysis of statistical data is used from 2006 to 2015. Panel data is used in the modeling. The formation of clusters was carried out according to the economic indicators of the regions using agglomeration hierarchical methods. The leading method to investigate this problem is the method of panel data, which allows to reveal not only the influence of demographic indicators on economic growth, but also how this influence manifests itself in the context of regions. Based on the results of the cluster analysis, the regions of the Volga Federal District were divided into two groups. Regression modeling was carried out for each of the groups. The coefficients of determination of the obtained models (0.98 and 0.99) of economic growth, including demographic indicators as factors, are close to unity, which indicates the importance of the human factor in the formation of regional economic development. Quantitative analysis indicates that the most significant impact on the change in economic growth is the migration and life expectancy of the population.