MODELING OF THE INTERRELATION BETWEEN THE GRP AND THE QUALITY OF LIFE

The quality of life is one of the key indicators of the level of socio-economic development of the countries. The improvement of the quality of life in the regions of Russia is the important task of the government. Making forecasts to determine the quality of life after the application of management actions requires the establishment of the interrelation between the economic and social factors.

In this paper, the authors studied the dependence of the gross regional product per capita on the set of indicators characterizing the quality of life of the population of the regions of the Russian Federation.

The system proposed by A.Yu. Mitrofanov consisting of fifteen factors was chosen among various approaches to the assessment of the quality of life and the definition of the indicators characterizing it. The modeling was performed by econometric methods taking into account the panel data structure. Such structure occurs when studying a large number of objects for a certain period of time. The data of Federal Service of State Statistics are used as the statistical data for the econometric modeling. Panel Data processing is carried out using Stata package. In the case of multicollinearity of factors characterizing the quality of life, the authors used the component analysis in order to save the maximum quantity of information.

In the result of design and analysis of different types of models on the basis of the relevant tests, the authors selected an adequate model of panel data that meets the objectives of the study.

The results discussed in the paper represent one of the stages of the research related to the study of the relationship between the economic and social factors in order to obtain high-quality forecasts to determine the level and the quality of life of the population at the regional level due to the application of management actions.