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Is there Long-Run Equilibrium in the House Prices of Australian Capital Cities?

Author

Listed:
  • Le Ma

    (Deakin University)

  • Chunlu Liu

    (Deakin University)

Abstract

In order to explore the long-run equilibrium in the house prices of different cities, studies on house price convergence have been conducted by a number of researchers. However, the majority of previous studies have neglected the effects of spatial heterogeneity and autocorrelation on house prices. This research improves on the investigation of house price convergence by developing a spatio-temporal autoregressive model based on a framework of panel regression methods. Both spatial heterogeneity and autocorrelation of house prices in different cities are taken into account. Geographical distance and the scale of development of the urban housing market are used to construct temporal varying spatial measurements. The spatio-temporal model is then applied to investigate the long-run equilibrium in the house prices of Australian capital cities. The results confirm that house prices in Sydney approach a steady state in the long run, whereas house prices in Brisbane, Canberra, Melbourne and Perth are able to do with lower confidence. However, little evidence supports the existence of long-run equilibrium in the house prices of Adelaide, Darwin and Hobart.

Suggested Citation

  • Le Ma & Chunlu Liu, 2015. "Is there Long-Run Equilibrium in the House Prices of Australian Capital Cities?," International Real Estate Review, Global Social Science Institute, vol. 18(4), pages 503-521.
  • Handle: RePEc:ire:issued:v:18:n:04:2015:p:503-521
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    References listed on IDEAS

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    1. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    2. Bernard Fingleton, 2008. "A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 27-44.
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    4. Mark J. Holmes & Arthur Grimes, 2008. "Is There Long-run Convergence among Regional House Prices in the UK?," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1531-1544, July.
    5. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    6. McDonald, Ronald & Taylor, Mark P, 1993. "Regional House Prices in Britain: Long-Run Relationships and Short-Run Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 40(1), pages 43-55, February.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Chunlu Liu & Le Ma & Zhen Qiang Luo & David Picken, 2009. "An interdependence analysis of Australian house prices using variance decomposition," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 2(3), pages 218-232, August.
    9. Le Ma & Chunlu Liu, 2010. "The decomposition of housing market variations," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 3(1), pages 6-16, March.
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    Cited by:

    1. Ryan Greenaway‐McGrevy & Arthur Grimes & Mark Holmes, 2019. "Two countries, sixteen cities, five thousand kilometres: How many housing markets?," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 353-370, February.
    2. Kun Duan & Tapas Mishra & Mamata Parhi & Simon Wolfe, 2019. "How Effective are Policy Interventions in a Spatially-Embedded International Real Estate Market?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(4), pages 596-637, May.

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    More about this item

    Keywords

    Convergence; Spatial Autocorrelation; Spatio-Temporal Regressive Model; Long-Run Equilibrium; House Price Indices; Australia;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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