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Modelling housing prices and market fundamentals: evidence from the Sydney housing market

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  • Md Abdullah Al-Masum
  • Chyi Lin Lee

Abstract

Purpose - Housing prices in Sydney have increased rapidly in the past three decades. This leads to a debate of whether Sydney housing prices have departed from macroeconomic fundamentals. However, little research has been devoted to this area. Therefore, this study aims to fill this gap by examining the long-run association between housing prices and market fundamentals. Further, it also examines the long-run determinants of housing prices in Greater Sydney. Design/methodology/approach - The analysis of this study involves two stages. The first stage is to estimate the presence of long-run relationship between housing prices and market fundamentals with the Johansen and Juselius Cointegration test. Thereafter, the determinants of housing prices in Greater Sydney is assessed by using a vector error correction model. Findings - The empirical results show that Sydney housing prices are cointegrated with market fundamentals in the long run. In addition, there is evidence to suggest that market fundamentals such as gross disposable income, housing supply, unemployment rate and gross domestic product are the key long-run determinants of Sydney housing prices, reflecting that Sydney housing prices, in general, can be explained by market fundamentals in the long run. Research limitations/implications - The findings enable more informed and practical policy and investment decision-making regarding the relation between housing prices and market fundamentals. Originality/value - This paper is the first study to offer empirical evidence of the degree to which the behaviour of housing prices can be explained by market fundamentals, from a capital city instead of at a national level, using a relatively disaggregated dataset of housing price series for Greater Sydney.

Suggested Citation

  • Md Abdullah Al-Masum & Chyi Lin Lee, 2019. "Modelling housing prices and market fundamentals: evidence from the Sydney housing market," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 746-762, April.
  • Handle: RePEc:eme:ijhmap:ijhma-10-2018-0082
    DOI: 10.1108/IJHMA-10-2018-0082
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    Citations

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    Cited by:

    1. Jong Chil Son & Hail Park, 2020. "The Effects of Regional House Prices on Consumption in Korea: Heterogeneous Behaviors According to Homeownership Status and Lifecycle Stage," Sustainability, MDPI, vol. 12(9), pages 1-15, April.
    2. Zheng Zheng Li & Chi-Wei Su, 2023. "How does real estate market react to the iron ore boom in Australian capital cities?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(2), pages 517-537, October.
    3. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    4. Nuri Hacıevliyagil & Krzysztof Drachal & Ibrahim Halil Eksi, 2022. "Predicting House Prices Using DMA Method: Evidence from Turkey," Economies, MDPI, vol. 10(3), pages 1-27, March.
    5. Wang, Jianing & Lee, Chyi Lin, 2022. "The value of air quality in housing markets: A comparative study of housing sale and rental markets in China," Energy Policy, Elsevier, vol. 160(C).

    More about this item

    Keywords

    Australia; Housing prices;

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