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dc.contributor.authorMiles, William
dc.date.accessioned2019-08-02T13:55:27Z
dc.date.available2019-08-02T13:55:27Z
dc.date.issued2019-07-08
dc.identifier.citationMiles, W. (2019), "Home prices and fundamentals: solving the mystery for the G-7 by accounting for nonlinearities", International Journal of Housing Markets and Analysis, Vol. ahead-of-print No. ahead-of-printen_US
dc.identifier.issn1753-8270
dc.identifier.urihttps://doi.org/10.1108/IJHMA-03-2019-0029
dc.identifier.urihttp://hdl.handle.net/10057/16510
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractPurpose: The purpose of this study is to determine whether house prices and income share a stable, stationary relationship in the G-7 countries. This stable relationship has been clearly implied by theory but has been difficult to uncover empirically in previous studies. Design/methodology/approach: The analysis entails using nonlinear tests for a stationary relationship between home prices and per-capita income for the G-7 countries, whereas most previous papers on the topic have used linear methods. Findings: When the standard linear ADF test is used, no stationary relationship for home prices and income is found for any of the G-7 countries. When the more powerful (but still linear) Ng–Perron test is used, the USA, but no other G-7 country, exhibits a stable relationship between the two variables. When the nonlinear Enders–Granger test is used, stationarity between home prices and income is found for five of the remaining six G-7 states. Practical implications: Previous research has shown that as house prices have risen far above the income, especially over bubble periods, income has done a poor job in predicting home values. The findings show that income has a clear long-run stationary relationship with home values. This implies income could be helpful in providing home price forecasts. Originality/value: Where previous studies have failed to find a long-run relationship between home prices and income while using linear methods, results in this paper show this theoretical asset–pricing relationship holds once the adjustment process is allowed to exhibit nonlinearity.en_US
dc.language.isoen_USen_US
dc.publisherEmerald Publishing Limiteden_US
dc.relation.ispartofseriesInternational Journal of Housing Markets and Analysis;2019
dc.subjectAsset pricesen_US
dc.subjectG-7en_US
dc.subjectHouse pricesen_US
dc.subjectIncomeen_US
dc.subjectNonlinearityen_US
dc.subjectStationarityen_US
dc.titleHome prices and fundamentals: solving the mystery for the G-7 by accounting for nonlinearitiesen_US
dc.typeArticleen_US
dc.rights.holder© 2019, Emerald Publishing Limiteden_US


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