1# RECORD 756500e0e0865a14c1f90982057105046ada0c6c2# TITLE: Analysis of the main factors influencing price changes in the housing market in the construction sector (on the example of the city of Almaty)3# YEAR: 2026.0 VENUE: Bulletin of "Turan" University DOI: 10.46914/1562-2959-2026-1-1-395-4084# AUTHORS: Zh. A. Mekebaeva; N. A. Mekebaeva; I. V. Anayatova5# PAGES: 14 CANDIDATE TABLE PAGES (1-based): []6# ABSTRACT: The article examines the main factors influencing the price of three-room apartments in the housing market. The aim of the study is to conduct a quantitative analysis of the relationship between housing prices and apartment characteristics based on data from different districts of the city of Almaty. In addition, a forecast of price dynamics for the near future was developed based on the obtained results. The analysis was carried out in the Gretl software using correlation analysis and hedonic regression (OLS). The data were obtained from publicly available advertisements for the sale and rental of apartments and houses in the city of Almaty. The study is based on data from the largest metropolis of Kazakhstan – the city of Almaty. The results obtained allow for a deeper understanding of the patterns of price formation in the residential real estate segment and make it possible to assess potential changes in the market in the future. The study has practical significance for construction companies, analysts, and potential buyers. The analysis showed that the main factors affecting the price of three-room apartments are the district location, total area, and technical condition of the housing. The econometric analysis made it possible to quantitatively describe the relationship between price and these parameters. The constructed regression model was used to forecast prices for the coming years.789===== PAGE 1 (score 13, numeric-paren 0, table-words 0, var-words 13) =====101139512Научный журнал «Вестник университета «Туран» № 1(109) 2026 г.13IRSTI 06.0114UDC 330.4315JEL P3116https://doi.org/10.46914/1562-2959-2026-1-1-395-40817MEKEBAEVA ZH.A.,¹18m.m.s., senior lecturer.19e-mail: zhanat.mekebaeva@narxoz.kz20ORCID ID: 0000-0002-2368-849921MEKEBAEVA N.A.,*²22m.e.s.23*e-mail: nmekebaeva@inbox.kz24ORCID ID: 0009-0005-5002-610725ANAYATOVA I.V.,²26m.m.s., master teacher27e-mail: 121219891@mail.ru28ORCID ID: 0009-0008-6080-1981 29¹Narxoz University,30Almaty, Kazakhstan31²College of Tourism and Hospitality Industry,32Almaty, Kazakhstan33ANALYSIS OF THE MAIN FACTORS INFLUENCING PRICE CHANGES 34IN THE HOUSING MARKET IN THE CONSTRUCTION SECTOR35(ON THE EXAMPLE OF THE CITY OF ALMATY)36Abstract37The article examines the main factors influencing the price of three-room apartments in the housing market. 38The aim of the study is to conduct a quantitative analysis of the relationship between housing prices and apartment 39characteristics based on data from different districts of the city of Almaty. In addition, a forecast of price dynamics for 40the near future was developed based on the obtained results. The analysis was carried out in the Gretl software using 41correlation analysis and hedonic regression (OLS). The data were obtained from publicly available advertisements 42for the sale and rental of apartments and houses in the city of Almaty. The study is based on data from the largest 43metropolis of Kazakhstan – the city of Almaty. The results obtained allow for a deeper understanding of the patterns 44of price formation in the residential real estate segment and make it possible to assess potential changes in the market 45in the future. The study has practical significance for construction companies, analysts, and potential buyers. The 46analysis showed that the main factors affecting the price of three-room apartments are the district location, total 47area, and technical condition of the housing. The econometric analysis made it possible to quantitatively describe the 48relationship between price and these parameters. The constructed regression model was used to forecast prices for 49the coming years.50Keywords: housing market, construction industry, price, econometric analysis, correlation, regression, forecast.51Introduction52Housing affordability and price differentiation remain central socio-economic challenges 53in large urban centers of Kazakhstan. Almaty, as the largest city in the country, demonstrates 54sustained population growth driven by internal migration, urbanization, and increasing demand 55for improved living standards. These processes, combined with the expansion of mortgage lending 56and macroeconomic fluctuations, have significantly influenced residential property prices. In this 57context, understanding the determinants of housing price formation is essential for ensuring market 58transparency and supporting evidence-based decision-making.59The housing market is characterized by structural heterogeneity. Apartment prices are shaped 60not only by physical characteristics such as total area but also by spatial attributes, building quality, 61renovation level, and surrounding infrastructure. Price variation across districts reflects differences in 62accessibility, social prestige, and concentration of urban amenities. Therefore, housing price formation 63represents a multifactorial process that requires quantitative evaluation.64