IDEAS home Printed from https://ideas.repec.org/a/bkr/journl/v83y2024i1p77-103.html
   My bibliography  Save this article

Hedonic Price Indices for Moscow Short-Term Rental Housing

Author

Listed:
  • Ekaterina Bobrovskaya

    (RANEPA)

  • Andrey Polbin

    (Gaidar Institute for Economic Policy; RANEPA)

  • Nikita Fokin

    (Gaidar Institute for Economic Policy; RANEPA)

Abstract

This paper analyses the dynamics of prices in the short-term rental housing market in Moscow based on data from the online Airbnb and sutochno.ru platforms for the period from 2015 to 2023. We build the simplest price indices based on average and median prices and create hedonic indices using alternative methods. The analysis conducted demonstrates that it is relevant to take the quality of housing into account in the analysis of rental price dynamics. The time-dummy method turns out to be quite robust to adding additional observations to the sample, while the results of the imputation method, on the contrary, change greatly depending on the choice of the base period. We believe that the adjacent period method is the best method for constructing an index. This method allows changes in the market structure and the preferences of tenants to be considered. The construction of indices for individual Moscow districts provides additional information about the situation on the rental market which may be useful to various economic agents.

Suggested Citation

  • Ekaterina Bobrovskaya & Andrey Polbin & Nikita Fokin, 2024. "Hedonic Price Indices for Moscow Short-Term Rental Housing," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 77-103, March.
    • Handle: RePEc:bkr:journl:v:83:y:2024:i:1:p:77-103
    as

    Download full text from publisher

    File URL: https://rjmf.econs.online/upload/iblock/7e8/4mlekq8644030udu73gn3680vmcb2y04/Hedonic-Price-Indices-for-Moscow-Short-Term-Rental-Housing.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Xiaodan & Li, Keyang & Wu, Jing, 2020. "House price index based on online listing information: The case of China," Journal of Housing Economics, Elsevier, vol. 50(C).
    2. Chugunov, D., 2013. "Impact of School Quality and Neighborhoods on Housing Prices in Moscow," Journal of the New Economic Association, New Economic Association, vol. 17(1), pages 87-112.
    3. Marina Turuntseva & Vadim Zyamalov, 2022. "Hedonic Price Indices: Application to the Russian Market," HSE Economic Journal, National Research University Higher School of Economics, vol. 26(3), pages 429-449.
    4. Frederick V. Waugh, 1928. "Quality Factors Influencing Vegetable Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(2), pages 185-196.
    5. Reuben Ellul & Jude Darmanin & Ian Borg, 2019. "Hedonic house price indices for Malta: A mortgage-based approach," CBM Working Papers WP/02/2019, Central Bank of Malta.
    6. Robert J. Hill & Michael Scholz & Chihiro Shimizu & Miriam Steurer, 2018. "An evaluation of the methods used by European countries to compute their official house price Indices," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 500-501-5, pages 221-238.
    7. Gleb Goncharov & Timur Natkhov, 2020. "Textual Analysis of Pricing in the Moscow Residential Real Estate Market," HSE Economic Journal, National Research University Higher School of Economics, vol. 24(1), pages 101-116.
    8. Zhitkov, Konstantin & Ratnikova, Tatiana, 2014. "The construction of hedonic price indices for fauvists’ paintings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 59-85.
    9. Chanel, O. & Gerard, L.A. & Ginsburgh, V., 1992. "The Relevence of Hedonic Price Indices the Case of Paintings," G.R.E.Q.A.M. 92a19, Universite Aix-Marseille III.
    10. Katyshev, Pavel & Khakimova, Yulia, 2012. "Ecological factors and the price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 113-123.
    11. Bobrovskaya, Ekaterina & Polbin, Andrey, 2022. "Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 5-28.
    12. Giles, David E. A., 1982. "The interpretation of dummy variables in semilogarithmic equations : Unbiased estimation," Economics Letters, Elsevier, vol. 10(1-2), pages 77-79.
    13. Shanaka Herath & Gunther Maier, 2010. "The Hedonic Price Method in Real Estate and Housing Market Research: A Review of the Literature," SRE-Disc sre-disc-2010_03, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    14. Bartik, Timothy J, 1987. "The Estimation of Demand Parameters in Hedonic Price Models," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 81-88, February.
    15. Ozhegov, Evgeniy & Kosolapov, Nikita & Pozolotina, Iuliia, 2017. "On dependence between housing value and school characteristics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 28-48.
    16. Robert J. Hill, 2013. "Hedonic Price Indexes For Residential Housing: A Survey, Evaluation And Taxonomy," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 879-914, December.
    17. Goodman, Allen C., 1978. "Hedonic prices, price indices and housing markets," Journal of Urban Economics, Elsevier, vol. 5(4), pages 471-484, October.
    18. Olivier Chanel & Louis-André Gérard-Varet & Victor Ginsburgh, 1996. "The relevance of hedonic price indices," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 20(1), pages 1-24, March.
    19. Magnus, Jan & Peresetsky, Anatoly, 2010. "The price of Moscow apartments," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 17(1), pages 89-105.
    20. Goodman, Allen C., 1998. "Andrew Court and the Invention of Hedonic Price Analysis," Journal of Urban Economics, Elsevier, vol. 44(2), pages 291-298, September.
    21. Sidorovykh, Aleksandra, 2015. "Estimation of effects of transport accessibility on housing prices," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 37(1), pages 43-56.
    22. Petrov, Nikita & Ratnikova, Tatiana, 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, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 49-73.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bobrovskaya, Ekaterina & Polbin, Andrey, 2022. "Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 5-28.
    2. Zyamalov, V. & Turuntseva, M., 2024. "The influence of goods' quality on their price indices," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 196-209.
    3. Bobrovskaya, EV. & Polbin, A., 2023. "Econometric modeling of the demand for short-term rental housing: The case of Airbnb in Moscow," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 64-84.
    4. Pierre-Charles Pradier & François Gardes & Xavier Greffe & Ileana Miranda Mendoza, 2016. "Autographs and the global art market: the case of hedonic prices for French autographs (1960–2005)," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 40(4), pages 453-485, November.
    5. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).
    6. Çağlayan Ebru & Arikan Eban, 2011. "Determinants of house prices in Istanbul: a quantile regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 305-317, February.
    7. Esmeralda A. Ramalho & Joaquim J.S. Ramalho, 2014. "Convenient links for the estimation of hedonic price indexes: the case of unique, infrequently traded assets," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(2), pages 91-117, May.
    8. Federico Etro & Laura Pagani, 2013. "The market for paintings in the Venetian Republic from Renaissance to Rococò," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 391-415, November.
    9. Horky, Florian & Rachel, Carolina & Fidrmuc, Jarko, 2022. "Price determinants of non-fungible tokens in the digital art market," Finance Research Letters, Elsevier, vol. 48(C).
    10. Petrov, Nikita & Ratnikova, Tatiana, 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, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 49-73.
    11. BAUWENS, Luc & GINSBURGH, Victor, 2000. "Art experts and auctions are pre-sale estimates unbiased and fully informative?," LIDAM Reprints CORE 1485, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    13. Renato Flores Galvao & Victor Ginsburgh & Philippe Jeanfils, 1999. "Long and short-term portfolios of paintings," ULB Institutional Repository 2013/1695, ULB -- Universite Libre de Bruxelles.
    14. Renneboog, L.D.R. & Spaenjers, C., 2014. "Investment Returns and Economic Fundamentals in International Art Markets," Discussion Paper 2014-018, Tilburg University, Center for Economic Research.
    15. Masset, Philippe & Weisskopf, Jean-Philippe & Cardebat, Jean-Marie & Faye, Benoît & Le Fur, Eric, 2021. "Analyzing the risks of an illiquid and global asset: The case of fine wine," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 1-25.
    16. McQuillan, William & Lucey, Brian, 2016. "The validity of Islamic art as an investment," Research in International Business and Finance, Elsevier, vol. 36(C), pages 388-401.
    17. Shanaka Herath & Gunther Maier, 2010. "The Hedonic Price Method in Real Estate and Housing Market Research: A Review of the Literature," SRE-Disc sre-disc-2010_03, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    18. Patrick Bajari & Zhihao Cen & Victor Chernozhukov & Manoj Manukonda & Jin Wang & Ramon Huerta & Junbo Li & Ling Leng & George Monokroussos & Suhas Vijaykunar & Shan Wan, 2023. "Hedonic prices and quality adjusted price indices powered by AI," CeMMAP working papers 08/23, Institute for Fiscal Studies.
    19. Ileana Miranda Mendoza & François Gardes & Xavier Greffe & Pierre-Charles Pradier, 2014. "Are autographs integrating the global art market? The case of hedonic prices for French autographs (1960-2005)," Documents de travail du Centre d'Economie de la Sorbonne 14053, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    20. Renato Flôres & Victor Ginsburgh & Philippe Jeanfils, 1999. "Long- and Short-Term Portfolio Choices of Paintings," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 23(3), pages 191-208, August.

    More about this item

    Keywords

    Airbnb; sutochno.ru; short-term rental housing; housing market; house price index; hedonic regression;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • Z39 - Other Special Topics - - Tourism Economics - - - Other

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bkr:journl:v:83:y:2024:i:1:p:77-103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Olga Kuvshinova (email available below). General contact details of provider: https://edirc.repec.org/data/cbrgvru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.