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В исследовании анализируются детерминанты цен на рынке жилой недвижимости Республики Казахстан на основе данных объявлений о продаже квартир, размещенных на сайте krisha.kz. В качестве зависимой переменной используется логарифм цены за квадратный метр. Для оценки влияния характеристик объектов и локационных факторов применяются модели множественной линейной регрессии с робастными стандартными ошибками, что позволяет учесть наличие гетероскедастичности. Результаты показывают значимое влияние принадлежности города к числу городов республиканского значения, типа здания, высоты потолков, возраста дома, статуса квартиры как бывшего общежития и стадии завершенности строительства. Отдельный анализ для городов Астана и Алматы выявляет выраженные пространственные различия в формировании цен. В Астане ключевыми факторами являются расположение относительно берегов реки Ишим, близость к паркам и торгово-развлекательным центрам, а в Алматы - район города, положение относительно проспекта Аль-Фараби и расстояние до станции метро. Полученные результаты подтверждают важность учета как характеристик объектов недвижимости, так и локационных факторов при анализе цен на рынке жилья Казахстана. // The study analyzes the determinants of residential real estate prices in the Republic of Kazakhstan based on data from apartment sale listings posted on the website krisha.kz. The dependent variable used is the logarithm of the price per square meter. To assess the impact of property characteristics and locational factors, multiple linear regression models with robust standard errors are applied, which allows for accounting for the presence of heteroskedasticity. The results indicate a significant influence of a city’s status as a city of republican significance, building type, ceiling height, building age, the apartment’s status as a former dormitory, and the stage of construction completion. A separate analysis for the cities of Astana and Almaty reveals pronounced spatial differences in price formation. In Astana, key factors include proximity to the Ishim River banks, closeness to parks, and accessibility to shopping and entertainment centers; in Almaty, the relevant factors are the city district, location relative to Al-Farabi Avenue, and distance to the nearest metro station. The findings confirm the importance of considering both property characteristics and locational factors when analyzing residential housing prices in Kazakhstan.
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JEL classification:
- R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
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