{"id":574,"date":"2020-04-28T00:36:03","date_gmt":"2020-04-27T16:36:03","guid":{"rendered":"http:\/\/localhost:8888\/?p=574"},"modified":"2025-12-28T05:31:16","modified_gmt":"2025-12-27T21:31:16","slug":"is-there-long-run-equilibrium-in-the-house-prices-of-australian-capital-cities","status":"publish","type":"post","link":"https:\/\/www.gssinst.org\/irer\/2020\/04\/28\/is-there-long-run-equilibrium-in-the-house-prices-of-australian-capital-cities\/","title":{"rendered":"Is there Long-Run Equilibrium in the House Prices of Australian Capital Cities?"},"content":{"rendered":"\t\t
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Article<\/div>

Is there Long-Run Equilibrium in the House Prices of Australian Capital Cities?<\/p>

Author<\/p>

Start Page \/ End Page<\/p>

Volume<\/p>

Issue Number<\/p>

Year<\/p>

Publication<\/p><\/div>

<\/p>

Le Ma, Chunlu Liu<\/p>

503 \/ 521<\/p>

18<\/p>

4<\/p>

2015<\/p>

International Real Estate Review<\/p><\/div>

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Abstract<\/p>


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.<\/p>

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View PDF -https:\/\/doi.org\/10.53383\/100211<\/strong><\/a><\/p>

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Keywords<\/p>

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Convergence, Spatial Autocorrelation, Spatio-Temporal Regressive Model, Long-Run Equilibrium, House Price Indices, Australia<\/p>

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Author<\/p>\n

Start Page \/ End Page<\/p>\n

Volume<\/p>\n

Issue Number<\/p>\n

Year<\/p>\n

Publication<\/p>\n<\/div>\n

\n<\/p>\n

Le Ma, Chunlu Liu<\/p>\n

503 \/ 521<\/p>\n

18<\/p>\n

4<\/p>\n

2015<\/p>\n

International Real Estate Review<\/p>\n<\/div>\n

Keywords<\/p>\n

Convergence, Spatial Autocorrelation, Spatio-Temporal Regressive Model, Long-Run Equilibrium, House Price Indices, Australia<\/p>\n

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