RESEARCH OF THE RESIDENTIAL REAL ESTATE MARKET (BY THE EXAMPLE OF CENTRAL KAZAKHSTAN)

Abstract

In this study, the authors determined the composition of statistically significant variables that influence the cost of housing on the secondary real estate market in the largest cities of Central Kazakhstan (by population): the cities of Astana, Karaganda, Zhezkazgan, Balkhash. Among the main pricing factors, both quantitative (number of rooms, apartment area, living area, kitchen area, floor) and qualitative (type of bathroom, presence of a balcony, material from which the house is built) characteristics of housing were considered. The main research method was regression analysis, and the Statistica software package was used as tools. The constructed econometric models made it possible to conduct a comparative analysis of the influence of price-forming factors in the cities under consideration. It was found that the area of the apartment and the type of material from which the house is built are the main factors determining the cost of apartments. It was found that the resulting multiple regression equations are statistically significant and can be used to construct predictive estimates of housing costs.