Subject This article analyzes the changes in poverty of the population of the Russian Federation. Objectives The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods For the study, I used the methods of logical, comparative, and statistical analyses. Results The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.
Keywords: theory of poverty, identification, poverty factors, modeling, low-income
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