

nalysis of hedonic price indices for Moscow’s secondary housing market and the impact of interest rates
https://doi.org/10.32609/0042-8736-2025-6-94-113
Abstract
In this paper we construct monthly hedonic price indices for the cost per square meter of secondary housing within the administrative boundaries of Moscow (including New Moscow Administrative District). The data is collected from the most popular platforms, such as Cian, Avito, Yandex, and others. The analysis covers a particularly interesting period from July 2023 to December 2024, during which there was a continuous tightening of monetary policy, which inevitably impacted the secondary housing market. Due to the absence of subsidized programs in this market, mortgage rates are closely aligned with the key interest rate. We analyze the impact of key rate dynamics on real (deflated by the Moscow CPI) hedonic indices, as well as average and median price indices, and find a statistically significant negative effect from the monetary policy tightening. The results of the analysis show that nominal indices (both hedonic and average/median price indices) exhibited growth up until the first quarter of 2024, after which they began to stagnate. By the end of 2024, nominal indices indicated an approximately 10% increase in the cost per square meter of housing in Moscow compared to July 2023. At the same time, real hedonic, as well as simple average and median prices per square meter of housing in Moscow, were below the levels at the start of the sample period. Over the course of about a year and a half, the hedonic price per square meter in secondary housing, according to our estimates, fell by approximately 4% to 5%. Hedonic and standard indices show quite different dynamics in the first half of the sample, as well as significantly different reactions to monetary policy tightening, highlighting the importance of accounting for property characteristics when analyzing the real estate market.
About the Author
N. D. FokinRussian Federation
Nikita D. Fokin
Moscow
References
1. Bochenina M. V. (2022). Assessing price changes in the housing market: Тhe hedonic approach. Eurasian Scientific Journal, Vol. 14, No. 3, article 48ECVN322. (In Russian).
2. БBobrovskaya E. D., Polbin A. V. (2022). Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow. Applied Econometrics, Vol. 65, No. 1, pp. 5—28. (In Russian). https://doi.org/10.22394/1993-7601-2022-65-5-28
3. Bobrovskaya E., Polbin A., Fokin N. (2024). Hedonic price indices for Moscow short-term rental housing. Russian Journal of Money and Finance, Vol. 83, No. 1, pp. 77—103.
4. Goncharov G. I., Natkhov T. V. (2020). Textual analysis of pricing in the Moscow residential real estate market. HSE Economic Journal, No. 1, pp. 101—116. (In Russian). https://doi.org/10.17323/1813-8691-2020-24-1-101-116
5. Zhitkov K. V., Ratnikova T. A. (2014). The construction of hedonic price indices for fauvists’ paintings. Applied Econometrics, Vol. 35, No. 3, pp. 59—85. (In Russian).
6. Zyamalov V. E., Turuntseva M. Y. (2020). Application of the hedonic method: The example of Russian market of household appliances. Economic Development of Russia, Vol. 27, No. 12, pp. 22—30. (In Russian).
7. Ignatenko A., Mikhaylova T. (2015). Moscow office rental prices: A hedonic analysis. Ekonomicheskaya Politika, No. 4, pp. 156—177. (In Russian). https://doi.org/10.18288/1994-5124-2015-4-07
8. Katyshev P. K., Khakimova Y. A. (2012). Ecological factors and the price of Moscow apartments. Applied Econometrics, Vol. 28, No. 4, pp. 113—123. (In Russian).
9. Ozhegov E. M., Kosolapov N. A., Pozolotina Y. A. (2017). On dependence between housing value and school characteristics. Applied Econometrics, Vol. 47, No. 3, pp. 28—48. (In Russian).
10. Parkhomenko A., Redkina A. (2006). Estimating hedonic price indices for personal computers in Russia: Тhe case of the Yekaterinburg market. MPRA Paper, No. 1506. (In Russian).
11. Petrov N. A., Ratnikova T. A. (2017). The price index for the paintings of Henri Matisse: The sensitivity to the method of construction and connection with stock market and art indices. Applied Econometrics, Vol. 47, No. 3, pp. 49—73. (In Russian).
12. Roshchina Y. A., Vashchenko T. I. (2020). The effect of school quality on housing prices: Evidence from Moscow. Moscow University Economics Bulletin, No. 6, pp. 147—175. (In Russian). https://doi.org/10.38050/01300105202068
13. Turuntseva M. Y., Zyamalov V. E. (2022). Hedonic price indices: Application to the Russian market. HSE Economic Journal, No. 3, pp. 429—449. (In Russian). https://doi.org/10.17323/1813-8691-2022-26-3-429-449
14. Chugunov D. Y. (2013). Impact of school quality and neighborhoods on housing prices in Moscow. Journal of the New Economic Association, No. 1, pp. 87—112. (In Russian).
15. Ellul R., Darmanin J., Borg I. (2019). Hedonic house price indices for Malta: A mortgagebased approach. CBM Working Paper, No. 2.
16. Hill R. J. (2013). Hedonic price indexes for residential housing: A survey, evaluation and taxonomy. Journal of Economic Surveys, Vol. 27, No. 5, pp. 879—914. https://doi.org/10.1111/j.1467-6419.2012.00731.x
17. Hill R. J., Scholz M., Shimizu C., Steurer M. (2018). An evaluation of the methods used by european countries to compute their official house price indices. Economie et Statistique, Vol. 500, No. 1, pp. 221—238. https://doi.org/10.24187/ecostat.2018.500t.1953
18. Hill R. J., Trojanek R. (2022). An evaluation of competing methods for constructing house price indexes: The сase of Warsaw. Land Use Policy, Vol. 120, article 106226. https://doi.org/10.1016/j.landusepol.2022.106226
19. Hülagü T., Kizilkaya E., Özbekler A. G., Tunar P. (2016). A hedonic house price index for Turkey. Central Bank of the Republic of Turkey Working Paper, No. 3.
20. Lancaster K. J. (1966). A new approach to consumer theory. Journal of Political Economy, Vol. 74, No. 2, pp. 132—157. https://doi.org/10.1086/259131
21. Magnus J., Peresetsky A. (2010). The рrice of Moscow аpartments. Applied Econometrics. Vol. 17, No. 1, pp. 89—105.
22. Newey W. K., West K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica: Journal of the Econometric Society, Vol. 55, No. 3, pp. 703—708. https://doi.org/10.2307/1913610
23. Rosen S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy, Vol. 82, No. 1, pp. 34—55. https:// doi.org/10.1086/260169
24. Triplett J. (2006). Handbook on hedonic indexes and quality adjustments in price indexes: Special application to information technology products. Paris: OECD Publishing. https://doi.org/10.1787/9789264028159-en
25. Wang X., Li K., Wu J. (2020). House price index based on online listing information: The case of China. Journal of Housing Economics, Vol. 50, article 101715. https:// doi.org/10.1016/j.jhe.2020.101715
Supplementary files
Review
For citations:
Fokin N.D. nalysis of hedonic price indices for Moscow’s secondary housing market and the impact of interest rates. Voprosy Ekonomiki. 2025;(6):94-113. (In Russ.) https://doi.org/10.32609/0042-8736-2025-6-94-113