Analysis of the main factors influencing price changes in the housing market in the construction sector (on the example of the city of Almaty)

2026

Полный текст Открытый доступ: Gold Метаданные (CSL-JSON)
DOI 10.46914/1562-2959-2026-1-1-395-408
Достоверность данных 70 средняя
Как считается эта оценка

Складывается из проверяемых признаков самой записи: есть ли у статьи DOI, сколько независимых источников подтвердили её данные, заполнены ли обязательные поля и насколько свежо последнее подтверждение. Снижают оценку расхождения между источниками и отсутствие идентификатора. Значение от 80 означает, что запись опубликована без дополнительной проверки; от 60 до 79 — что она опубликована с пониженной достоверностью и ручная проверка желательна. Запись, выверенную редактором вручную, пересчёт не опускает ниже 90. Это оценка наших данных о статье, а не оценка самой статьи.

Аннотация

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.