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Statistical Analysis of the Secondary Housing Market of Russia

Student: Veronika Kuznetsova

Supervisor: Vladimir Elahovsky

Faculty: Faculty of Economic Sciences

Educational Programme: Economics and Statistics (Bachelor)

Year of Graduation: 2019

This research will be focused on secondary housing of market. According to the research of experts of real estate market, secondary housing is attractive and liquid, especially, of course, in big cities. As housing access is criteria not only for economic development but also for solving social issues, and also the hosing is one of the main part of basic needs. Furthermore, it is often an additional source of income consequently affects on all spheres of person’s life. The object of this researching is the secondary housing of Russia’s market. The subject of this investigation is the price indices of housing market. The main purpose of this research is to identify socio-economic factors that affect the prices of the secondary housing market, to analyze the prices’ dynamic of the last period to make more exact prediction of the situation in housing market as possible which is essential for adequate estimation of every object. Moreover, to estimate the future development of the secondary housing market for different group of regions. As for statistical methods of research, there were used the methods of correlation analysis, multiple regression models, cluster analysis methods, Autoregression Moving Average Model, linear forecasting method. This research consists of two chapters, in the first – there were identified and evaluated the social and economic factors affecting the secondary housing market and the subjects of the Russian Federation were classified according to these factors. The second chapter focuses on the analysis of price dynamics over the last 18 years in Russia in the whole, then in big cities. This chapter also contains the forecast models.

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