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The aim of this paper is to assess the association between macroeconomic factors and house prices in selected OECD countries. In this paper, authors describe selected socioeconomic factors, adapt a transparent methodology based on the OECD database and derive results shedding a light on the main drivers shaping the trends of the real estate prices. Two main economic aggregates, inflation and gross domestic product (GDP) were analysed for the OECD member and non-member countries for which complete data have been made available for the period of 1990-2020. The OECD provides data for 60 countries in total, out of which 38 are members of the organization. Nevertheless, due to missing observations in certain countries, the analysis was carried out in 19 of them. The aim of the study was to determine how GDP and inflation dynamics are correlated with changes in property prices. Among the analysed countries, Japan and South Africa could be distinguished as outliers in terms of inflation, whereas in the case of GDP, Italy, Japan, Ireland and Norway stood out. Additionally, 12 representative countries were described in detail. These countries comprised four groups of three countries divided across two dimensions: the first, based on the highest and the lowest correlation coefficient, and the second, based on the measure used to calculate the correlation coefficient (correlation of the house prices with GDP and correlation of the house price with inflation). On the basis of the analyses, it was shown that the association between GDP and house prices is stronger than that between inflation and house prices – in most cases, prices increased at a similar rate as GDP. A particularly high correlation between GDP and house prices was found for Norway, New Zealand and Sweden, indicating a potentially higher marginal housing consumption responsiveness to changes in housing wealth in these highly developed countries, characterised by particularly low housing transaction costs and efficient mortgage market. It was deduced that such characteristics lead to a higher wealth elasticity of demand for new houses.
Czasopismo
Rocznik
Tom
Strony
45--58
Opis fizyczny
Bibliogr. 29 poz., fig.
Twórcy
autor
- AGH University of Science and Technology; (Poland)
autor
- Collegium of Economic Analysis; SGH Warsaw School of Economics; (Poland)
autor
- Department of Integrated Geodesy and Cartography; Faculty of Mining Surveying and Environmental Engineering; AGH University of Science and Technology (Poland)
Bibliografia
- 1. Rącka I. and Khalil ur Rehman S., “Housing Market in Capital Cities – the Case of Poland and Portugal”, Geomatics and Environmental Engineering, vol. 12, no. 3, (2018), p. 75. https://doi.org/10.7494/geom.2018.12.3.75 DOI: https://doi.org/10.7494/geom.2018.12.3.75 Google Scholar
- 2. Sen J., “Security and privacy issues in cloud computing”, Architectures and Protocols for Secure Information Technology Infrastructures, (2014), pp. 1–45. https://doi.org/10.4018/978-1-4666-4514-1.ch001 DOI: https://doi.org/10.4018/978-1-4666-4514-1.ch001 Google Scholar
- 3. Nykiel L., “Mechanizm dynamiki i zróżnicowania ceny na rynku mieszkaniowym”, in Studia i Materiały Towarzystwa Naukowego Nieruchomości, vol. 15, no. 3–4, 2007, pp. 45–57. Google Scholar
- 4. Kucharska-Stasiak E., “Rynek nieruchomości mieszkaniowych w procesie powstawania nierównowag makroekonomicznych”, Świat Nieruchomości, vol. 2, no. 96, (2016), pp. 5–10. Google Scholar
- 5. Mavrodiy A., Factory analysis of real estate prices, 2005. Google Scholar
- 6. Mach Ł., “Determinanty ekonomiczno-gospodarcze oraz ich wpływ na rozwój rynku nieruchomości mieszkaniowych”, Ekonometria, vol. 4, no. 38, (2014), pp. 106–116. Google Scholar
- 7. Gasparėnienė L. et al., “Assessment of the impact of macroeconomic factors on housing price level: Lithuanian case”, Intellectual Economics, vol. 10, no. 2, (Aug. 2016), pp. 122–127. https://doi.org/10.1016/j.intele.2017.03.005 DOI: https://doi.org/10.1016/j.intele.2017.03.005 Google Scholar
- 8. Elmahi D. and Ahmed E., “Impact of Macroeconomic Variables on Housing Prices in Saudi Arabia: A VAR Approach”, no. December, (2020), pp. 1–12. https://doi.org/10.20944/preprints202012.0715.v1 DOI: https://doi.org/10.20944/preprints202012.0715.v1 Google Scholar
- 9. Noszczyk T. et al., “Determining Changes in Land Use Structure in Małopolska Using Statistical Methods”, Polish Journal of Environmental Studies, vol. 26, no. 1, (Jan. 2017), pp. 211–220. https://doi.org/10.15244/pjoes/64913 DOI: https://doi.org/10.15244/pjoes/64913 Google Scholar
- 10. Abraham J. M. and Hendershott P. H., Patterns and Determinants of Metropolitan House Prices, 1977 to 1991, 1992. https://doi.org/10.3386/w4196 DOI: https://doi.org/10.3386/w4196 Google Scholar
- 11. Sabyasachi T., “Macroeconomic Determinants of Housing Prices : A Cross Country Level Analysis”, Real Estate Finance, vol. 10, no. Spring, (2020), pp. 229–238. Google Scholar
- 12. Essafi Zouari Y. and Nasreddine A., “Housing in the greater Paris area as an inflation hedge?”, International Journal of Housing Markets and Analysis, (2023). https://doi.org/10.1108/IJHMA-08-2022-0118 DOI: https://doi.org/10.1108/IJHMA-08-2022-0118 Google Scholar
- 13. Fehrle D., “Hedging against inflation: housing versus equity”, Empirical Economics, no. May, (2023). https://doi.org/10.1007/s00181-023-02449-z DOI: https://doi.org/10.1007/s00181-023-02449-z Google Scholar
- 14. Wolski R., “Residential Real Estate as a Potential Hedge of Capital Against Inflation”, Real Estate Management and Valuation, vol. 31, no. 1, (2023), pp. 36–42. https://doi.org/10.2478/remav-2023-0004 DOI: https://doi.org/10.2478/remav-2023-0004 Google Scholar
- 15. Zhang X. and Yang E., “Have housing value indicators changed during COVID? Housing value prediction based on unemployment, construction spending, and housing consumer price index”, International Journal of Housing Markets and Analysis, (2023). https://doi.org/10.1108/IJHMA-01-2023-0015 DOI: https://doi.org/10.1108/IJHMA-01-2023-0015 Google Scholar
- 16. Nicola M. et al., “The socio-economic implications of the coronavirus pandemic (COVID-19): A review”, International Journal of Surgery, vol. 78, no. January, (2020), pp. 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018 DOI: https://doi.org/10.1016/j.ijsu.2020.04.018 Google Scholar
- 17. Yang L. et al., “COVID-19 effects on property markets: The pandemic decreases the implicit price of metro accessibility”, Tunnelling and Underground Space Technology, vol. 125, (Jul. 2022). https://doi.org/10.1016/J.TUST.2022.104528 DOI: https://doi.org/10.1016/j.tust.2022.104528 Google Scholar
- 18. Shmygel A. and Hoesli M., “House price bubble detection in Ukraine”, Journal of European Real Estate Research, (2023). https://doi.org/10.1108/JERER-10-2022-0031 DOI: https://doi.org/10.1108/JERER-10-2022-0031 Google Scholar
- 19. Delardas O. et al., “Socio-Economic Impacts and Challenges of the Coronavirus Pandemic (COVID-19): An Updated Review”, Sustainability, vol. 14, no. 15, (2022), p. 9699. https://doi.org/10.3390/su14159699 DOI: https://doi.org/10.3390/su14159699 Google Scholar
- 20. OECD, “Our global reach.” OECD, “Our global reach.” Available: https://www.oecd.org/about/members-and-partners/ [Accessed: 01 April 2023] Google Scholar
- 21. gov.pl, “OECD - Organizacja Współpracy Gospodarczej i Rozwoju.” Available: https://www.gov.pl/web/edukacja-i-nauka/oecd-organizacja-wspolpracy-gospodarczej-i-rozwoju2 [Accessed: 01 April 2023] Google Scholar
- 22. Catte P., “Housing Markets, Wealth and the Business Cycle”, 2004, pp. 127–147. https://doi.org/10.1787/eco_outlook-v2004-1-36-en DOI: https://doi.org/10.1787/eco_outlook-v2004-1-36-en Google Scholar
- 23. GUS, “Wskaźniki makroekonomiczne.” Available: https://stat.gov.pl/wskazniki-makroekonomiczne/ [Accessed: 01 April 2023] Google Scholar
- 24. Kozak-Lisiecka T., “Inflacja w Polsce w 1999 r.”, Gospodarka Narodowa, vol. 158, no. 3, (2000), pp. 55–72. https://doi.org/10.33119/gn/113946 DOI: https://doi.org/10.33119/GN/113946 Google Scholar
- 25. OECD, “Housing prices.” Available: https://data.oecd.org/price/housing-prices.htm [Accessed: 01 April 2023] Google Scholar
- 26. Wikipedia, “OECD.” Available: https://en.wikipedia.org/wiki/OECD [Accessed: 01 April 2023] Google Scholar
- 27. OECD, “Inflation (CPI).” Available: https://data.oecd.org/price/inflation-cpi.htm [Accessed: 01 February 2023] Google Scholar
- 28. OECD, “Gross domestic product (GDP).” Available: https://data.oecd.org/gdp/gross-domestic-product-gdp.htm [Accessed: 01 July 2023] Google Scholar
- 29. Chmielewski T. et al., “Monetary transmission mechanism in Poland. What do we know in 2017”, NBP Working Papers, (2018). Google Scholar
Typ dokumentu
Bibliografia
Identyfikator YADDA
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