Modeling the cost of housing on the secondary real estate market in the city of Krasnoyarsk in 2016

The authors collected and analyzed data on the cost of the secondary residential property in the city of Krasnoyarsk in 2016. The Number of objects in 2016 is 1239 pieces. Each apartment is characterized by nine parameters. Based on the method of least squares (OLS) is an adequate linear model of the cost of an apartment in a regular and standard- ized form. When building the model the influence of quantitative and qualitative factors was analyzed. The factors of the prestige of the areas and wall material were ranked. The ranking was conducted based on the allocation of a typical apartment. A Studio apartment was taken as a typical apartment, as the most frequently sold. When we built the coefficients of the prestige, 24 dummy variables were introduced, and for the material of the walls the eight dummy variables were introduced. We show that urban development factors in the prestige areas of the city are changing, sometimes dramatically. The authors gave an adequate model of dependence of the prices of residential property from the environmental condition of the area. The coefficients of “prestige” for attribute factors were calcu- lated, the article builds a regression model containing the factors: price, total area, layout, floor, and wall material: statistically significant factors total area, the layout, the neighborhood. It was done in a standardized way. This study confirms the high influence on the price of the apartment, offered for sale, the total area of the district, and a moderate impact of layout. The constructed models adequately describe experimental data.