Statistical Analysis and Modelling of Population Income

Student: Platonkina Alina

Educational Programme: Economics and Statistics (Bachelor)

Year of Graduation: 2019

This study analyzed such important indicator as the income of the population. For the research we use the analysis of scientific literature, and Rosstat is used for the selection of statistical data, which represents the base of statistical data of Russia. The main purpose of the study is to conduct statistical analysis and modeling of incomes of the Russian population. To solve the stated problems, we used cluster, correlation, regression analysis, as well as time series analysis. The cluster analysis will divide the regions into groups depending on the development potential of each, and the regression analysis will reveal the indicators that have the greatest impact on the average per capita cash income in each cluster. The seasonal SARIMA model will be used for time series analysis, with the help of which the forecast for 4 quarters in advance will be built.

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