Abstract:  
The subject of this research is the econometric modelling for assessing the impact of the evolution of human capital upon the socioeconomic development. The object of this research is the process of influence of human capital upon the socioeconomic development on the example of Russian regions. The goal of this work is the quantitative assessment of the effect of evolution of human capital upon the dynamics of socioeconomic processes. The main hypothesis of the research lies in the thesis that the regional human capital exerts significant influence on the ongoing regional socioeconomic processes. It is suggested that there is a direct correlation between the level of development of human capital and the effectiveness of socioeconomic development of the territories; at the same time, the character and closeness of such correlation is differentiated in accordance with the regional clusters. Methodological foundation contains the modern provisions of econometrics, theory of human capital, and macroeconomic theory of sustainable growth. Based on the formed database (43 indexes over the period from 2011 to 2016 for 71 subjects of the Russian Federation) using the Best Subsets method, the authors structure the econometric models (linear and nonlinear) that functionally describe the dependence of socioeconomic development from the level development of the regional human capital. For avoiding multicollinearity of indexes, as well as reducing the dimension of models while maintaining the quality of information, the authors apply the principal component analysis. The models are built for each of the five clusters determined by the authors in the previous works. Data processing is conducted in R environment considering panel data model.