Housing market in the Republic of Tatarstan: price analysis and forecasts
- 作者: Churilova E.Y.1
-
隶属关系:
- Financial University under the Government of the Russian Federation
- 期: 编号 8 (2025)
- 页面: 27-34
- 栏目: Articles
- URL: https://permmedjournal.ru/0044-4472/article/view/690146
- DOI: https://doi.org/10.31659/0044-4472-2025-8-27-34
- ID: 690146
如何引用文章
详细
For the period 2010-2024, prices per 1 sq. m. Housing prices in Tatarstan tended to increase. The ratio of per capita monthly incomes of the population and prices per 1 sq. m. Housing surveys have shown that housing affordability for the population in 2024 has decreased compared to 2010. Holt’s double exponential smoothing models, which take into account a linear trend, provide the best results for predicting prices in the primary market. Winters triple exponential smoothing models with linear trend and additive seasonality are suitable for forecasting prices in the secondary market. According to the forecasts obtained, while maintaining the trends of 2010-2024 in the primary housing market, average prices will increase by 1 sq.m. The number of standard apartments (of average quality) in relation to the end of 2024 may amount to 11.9% at the end of 2025, 22.6% at the end of 2026, 33.3% at the end of 2027; apartments of improved quality: 14.0% at the end of 2025, 27.7% at the end of 2026, 41.3% at the end of 2027. In the secondary market, an increase in average prices per 1 sq.m. The number of standard apartments is projected at 10.6% at the end of 2025, 22.2% at the end of 2026, 33.8% at the end of 2027.; apartments of improved quality: 6.2% at the end of 2025, 12.2% at the end of 2026, 18.1% at the end of 2027 compared to the end of 2024.
全文:

作者简介
E. Churilova
Financial University under the Government of the Russian Federation
编辑信件的主要联系方式.
Email: EChurilova@fa.ru
Candidate of Sciences (Economy)
俄罗斯联邦, 49/2, Leningradsky Avenue, Moscow, 125167参考
- Chugunova Yu.V. Residential real estate market of the Republic of Tatarstan: features and directions of development. Gorizonty Ekonomiki. 2021. No. 6 (66), рр. 50–55. (In Russian). EDN: CIYKVS
- Kazakovceva M.V., Lapteva Yu.M. Multidimensional statistical analysis of the cost of housing in the Volga Federal District in the secondary market. Vestnik of the Mari State University. Series: Agricultural Sciences. Economic sciences. 2024. Vol. 10, No. 4 (40), рр. 390–399. (In Russian). EDN: UYRZJI. https://doi.org/10.30914/2411-9687-2024-10-4-390-399
- Borovskih O.N., Evstaf’eva A.H. Residential real estate market of the Volga Federal District regions: the state and prospects of its development. Regional’nye problemy preobrazovaniya ekonomiki. 2023. No. 9 (155), рр. 77–88. (In Russian). EDN: ISSYOW. https://doi.org/10.26726/1812-7096-2023-9-77-88
- Gimadieva L.Sh. Research of factors influencing the cost of housing (using the example of the Republic of Tatarstan). Regional’nye Problemy Preobrazovaniya Ekonomiki. 2023. No. 1 (147), pp. 95–102. (In Russian). EDN: KETFBM. https://doi.org/10.26726/1812-7096-2023-1-95-102
- Sternik S.G., Gareev I.F., Nasrutdinov A.M. Study of structural changes in the territorial development of the Republic of Tatarstan. Vestnik MGSU. 2024. Vol. 19. No. 12, рр. 1990–2000. (In Russian). EDN: JQYWDB. https://doi.org/10.22227/1997-0935.2024.12.1990-2000
- Bushkova-Shiklina E.V., Starikova M.M. Assessment of the housing and construction situation and investments in housing development in the regions of the Volga Federal District. Urbanistika. 2020. No. 4, рр. 39–52 (In Russian). EDN: KBCBPK. https://doi.org/10.7256/2310-8673.2020.4.30973
- Viktorov M.Yu. Housing construction in modern conditions of economic slowdown. Vestnik MGSU. 2020. Vol. 15. No. 12, рp. 1708–1716. (In Russian). EDN: ARCUID. https://doi.org/10.22227/1997-0935.2020.12.1708-1716
- Gravatt D., Beracha E., Johnson K. H. A Note on the estimation of the degree of over- or under-pricing of housing markets relative to their long-term pricing trend. Journal of Housing Research. 2022. Vol. 31 (1), рр. 1–3. EDN: LPTIFG. https://doi.org/10.1080/10527001.2021.2007584
- Milunovich G. Forecasting australia’s real house price index: A comparison of time series and machine learning methods. Journal of Forecasting. 2020. Vol. 39 (7), рр. 1098–1118. EDN: TRMMOM. https://doi.org/10.1002/for.2678
- Gandré P.A. Note on learning, house prices, and macro-financial linkages. Macroeconomic Dynamics. 2023. Vol. 27 (7), рр. 1996–2011. https://doi.org/10.1017/S1365100522000566
- Caines C. Can learning explain boom-bust cycles in asset prices? An application to the US housing boom. Journal of Macroeconomics. 2020. Vol. 66. 103256. EDN: QSMJUL. https://doi.org/10.1016/j.jmacro.2020.103256
- McGurk Z., Zaporowski M.U.S. Bilateral capital inflows and housing price return predictability. Journal of Housing Research. 2025. No. 2, рр. 1–23. https://doi.org/10.1080/10527001.2025.2465020
补充文件
