IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v30y2022i4p25-41n8.html
   My bibliography  Save this article

Dependence of Housing Real Estate Prices on Inflation as One of the Most Important Factors: Poland’s Case

Author

Listed:
  • Melnychenko Oleksandr

    (Department of Finance, Gdansk University of Technology, Poland; The London Academy of Science and Business, United Kingdom)

  • Osadcha Tetiana

    (Accounting and Taxation Department, Odesa Mechnikov National University, Ukraine)

  • Kovalyov Anatoliy

    (Odessa National Economic University, Ukraine)

  • Matskul Valerii

    (Mathematical Methods of Economic Analysis Department, Odessa National Economic University, Ukraine)

Abstract

The study aimed to examine the impact of inflation on the real estate market using Polish panel data for the last 13 years. It is based on a panel model, where price changes of one square meter of housing are determined as a function in changes of inflation, the central bank’s base rate, dwellings built, as well as new mortgage loans. The quarterly dynamics of the average price of 1 square meter of housing in Poland’s eight largest cities in the 2009-2021 period was studied. This price was modeled and predicted using one of the Box-Jenkins time series models: the Holt-Winter model of exponential smoothing with a damped trend. The forecasting results showed a small (up to 4%) relative error in comparison with the actual data. In addition, the moment (2017) of the price trend change was found. Therefore, piecewise linear regressions with high regression coefficients were used when modeling the impact of inflation changes on the real estate market indicators under consideration. The results obtained provide valuable insight into the relationship of real estate market indicators, allowing consumers to predict available options and make decisions in accordance with their preferences.

Suggested Citation

  • Melnychenko Oleksandr & Osadcha Tetiana & Kovalyov Anatoliy & Matskul Valerii, 2022. "Dependence of Housing Real Estate Prices on Inflation as One of the Most Important Factors: Poland’s Case," Real Estate Management and Valuation, Sciendo, vol. 30(4), pages 25-41, December.
    • Handle: RePEc:vrs:remava:v:30:y:2022:i:4:p:25-41:n:8
    DOI: 10.2478/remav-2022-0027
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2022-0027
    Download Restriction: no
    File URL: https://libkey.io/10.2478/remav-2022-0027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rüdiger Bachmann & Tim O. Berg & Eric R. Sims, 2015. "Inflation Expectations and Readiness to Spend: Cross-Sectional Evidence," American Economic Journal: Economic Policy, American Economic Association, vol. 7(1), pages 1-35, February.
    2. Luca Agnello & Vitor Castro & Ricardo M. Sousa, 2020. "The Housing Cycle: What Role for Mortgage Market Development and Housing Finance?," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 607-670, November.
    3. Abildgren, Kim & Kuchler, Andreas, 2021. "Revisiting the inflation perception conundrum," Journal of Macroeconomics, Elsevier, vol. 67(C).
    4. Manzhynski, Siarhei & Źróbek, Sabina & Batura, Olga & Zysk, Elżbieta, 2018. "Why the market value of residential premises and the costs of its purchase differ: The examples of Belarus and Poland," Land Use Policy, Elsevier, vol. 71(C), pages 530-539.
    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. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.
    2. Alan S. Blinder & Michael Ehrmann & Jakob de Haan & David-Jan Jansen, 2024. "Central Bank Communication with the General Public: Promise or False Hope?," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 425-457, June.
    3. Olivier Coibion & Dimitris Georgarakos & Yuriy Gorodnichenko & Maarten van Rooij, 2023. "How Does Consumption Respond to News about Inflation? Field Evidence from a Randomized Control Trial," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 109-152, July.
    4. Goldfayn-Frank, Olga & Wohlfart, Johannes, 2018. "How do consumers adapt to a new environment in their economic forecasting? Evidence from the German reunification," IMFS Working Paper Series 129, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    5. Dräger, Lena & Lamla, Michael J. & Pfajfar, Damjan, 2020. "The Hidden Heterogeneity of Inflation and Interest Rate Expectations: The Role of Preferences," Hannover Economic Papers (HEP) dp-666, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2023.
    6. Crump, Richard K. & Eusepi, Stefano & Tambalotti, Andrea & Topa, Giorgio, 2022. "Subjective intertemporal substitution," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 118-133.
    7. Schnorpfeil, Philip & Weber, Michael & Hackethal, Andreas, 2023. "Households' response to the wealth effects of inflation," SAFE Working Paper Series 400, Leibniz Institute for Financial Research SAFE.
    8. repec:zbw:bofrdp:2021_010 is not listed on IDEAS
    9. Masayuki MORIKAWA, 2017. "Impact of Policy Uncertainty on Consumption and Saving Behavior: Evidence from a survey on consumers," Discussion papers 17075, Research Institute of Economy, Trade and Industry (RIETI).
    10. Paweł Kopiec, 2023. "Frictional product market, supply chains and the impact of government expenditures on private consumption," Bank i Kredyt, Narodowy Bank Polski, vol. 54(3), pages 285-308.
    11. Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2023. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 96-116.
    12. Rendahl, Pontus, 2014. "Fiscal Policy in an Unemployment Crisis," CEPR Discussion Papers 9992, C.E.P.R. Discussion Papers.
    13. Felici, Marco & Kenny, Geoff & Friz, Roberta, 2023. "Consumer savings behaviour at low and negative interest rates," European Economic Review, Elsevier, vol. 157(C).
    14. Martin Geiger & Johann Scharler, 2021. "How Do People Interpret Macroeconomic Shocks? Evidence from U.S. Survey Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 813-843, June.
    15. Benchimol, Jonathan & Bounader, Lahcen, 2023. "Optimal monetary policy under bounded rationality," Journal of Financial Stability, Elsevier, vol. 67(C).
    16. Michael Ehrmann & Damjan Pfajfar & Emiliano Santoro, 2017. "Consumers' Attitudes and Their Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 13(1), pages 225-259, February.
    17. Ding Dong & Zheng Liu & Pengfei Wang & Min Wei, 2024. "Inflation Disagreement Weakens the Power of Monetary Policy," Working Paper Series 2024-27, Federal Reserve Bank of San Francisco.
    18. Christian Gillitzer & Nalini Prasad & Tim Robinson, 2021. "Political Attitudes and Inflation Expectations: Evidence and Implications," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(4), pages 605-634, June.
    19. Francesco D’Acunto & Daniel Hoang & Michael Weber, 2022. "Managing Households’ Expectations with Unconventional Policies," The Review of Financial Studies, Society for Financial Studies, vol. 35(4), pages 1597-1642.
    20. Dräger, Lena & Bui, Dzung & Nghiem, Giang & Hayo, Bernd, 2021. "Consumer Sentiment During the COVID-19 Pandemic," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242375, Verein für Socialpolitik / German Economic Association.

    More about this item

    Keywords

    real estate; housing; inflation; Poland;
    All these keywords.

    JEL classification:

    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

    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:vrs:remava:v:30:y:2022:i:4:p:25-41:n:8. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.