Modeling the Indicator of Real Incomes of the Population across the Regions of the Russian Federation

Abstract

This paper examines the causal relationships between various factors influencing income growth and its perceived magnitude within the population. The study explores variables such as labor productivity, propensity to save, proportion of affected individuals, educational attainment, propensity for blood diseases, female affiliation, marriage rates, fertility rates, and unemployment levels. The analysis employs five econometric models to establish these relationships. The data analysis includes interpreting the results of the Hausman test, revealing a probable pattern with lesion-autoregressive effects. The study findings indicate that high per capita incomes exhibit an average increase of 0.709 units in response to a corresponding
increase in estimated consumption by 1 unit. These results have implications for policymaking and targeted support measures aimed at stimulating income growth, suggesting their importance in government revenue collection and the broader field of income change research.