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Modelling the Distribution and Statistical Analysis of the Household Incomes in Russian Federation

Student: Telyatnikova Victoria

Supervisor: Vladimir Mkhitarian

Faculty: Faculty of Economic Sciences

Educational Programme: Economics and Statistics (Bachelor)

Final Grade: 9

Year of Graduation: 2019

The purpose of this work is to analyze the distribution of income of the population in the regions of the Russian Federation, as well as to identify the factors affecting this distribution. The paper describes available research on the topic of income distribution, conducts an economic and statistical analysis of the income structure of the population, and also studies the average per capita income of the population in the regions. The study also examines the main indicators reflecting the degree of differentiation of wealth among citizens. With the help of cluster analysis methods, regions are divided into typological groups and statistical analysis of each cluster is carried out. In addition, using the methods of regression analysis, a model of dependence of the average per capita income of the population on economic and statistical factors is built. According to the results of the work, statistically significant models were constructed that are suitable for interpreting the distribution of income by region. The work has the following structure: in the introduction, the relevance and practical significance of the research are considered, and goals and objectives are set; the main part of the work contains a literature review and an economic and statistical analysis of the average per capita incomes of the population; the conclusion describes the results obtained.

Full text (added May 20, 2019)

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