House price diffusion and inter‐regional and cross‐border house price dynamics

Stevenson, Simon

doi:10.1080/09599910500151228

Cited by 101 publications

(66 citation statements)

References 16 publications

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“…However, when the reverse scenario is considered, i.e. prices 1 Research has also considered inter-market dynamics and house price diffusion in Canada (Allen et al 2009), Finland (Oikarinen 2004, Ireland (Stevenson 2004) and Taiwan (Chien 2010). In a Japanese context Sanjuán et al (2009) find evidence of cointegration between rents and farmland prices in nine Japanese regions.…”

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confidence: 99%

Synchronisation and commonalities in metropolitan housing market cycles

2014

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This paper examines the degree of commonalities present in the cyclical behavior of the eight largest metropolitan housing markets in Australia. Using two techniques originally in the business cycle literature we consider the degree of synchronization present and secondly decompose the series' into their permanent and cyclical components. Both empirical approaches reveal similar results. Sydney and Melbourne are closely related to each other and are relatively segmented from the smaller metropolitan areas. In contrast, there is substantial evidence of commonalities in the cyclical behavior of the remaining cities, especially those on the Eastern and Southern coasts of Australia.

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confidence: 99%

Synchronisation and commonalities in metropolitan housing market cycles

2014

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“…Based on the vector autoregressive model and vector error correction model, Stevenson (2004) [1], Oikarinen (2004) [2] find the evidence of price fluctuations in different cities in Ireland and different regions in Finland. According to Pollakowski (1997) [3] and Luo & Liu (2007)'s [4] research on real estate market in the United States and Australia, the neighboring cities will be more prone to generate housing price diffusion.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Spatial and Temporal Diffusion of Urban House Prices---Taking the Case of 18 Cities in East China

Wang¹,

Ma²

2017

Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

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“…Spatial differentiation of housing prices between cities is an important issue in the field of regional economics and urban geography [1][2][3] . In recent years, China's urban housing prices rose rapidly, and gradually reveal new patterns and new trends in terms of differentiation of housing price 4 .…”

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confidence: 99%

Impact Factors of Spatial Differentiation of Housing Prices in China's Cities

Wang¹,

Jin²,

Zhang³

et al. 2016

Proceedings of the First International Conference Economic and Business Management 2016

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In order to explore the main driving factors of housing prices in China, we used the data of housing prices in China's 116 cities, and analyzed the impact of 3 factors including housing demand, supply and cost on housing prices based on the method of Gray Relational Degree. The results show that: The land price has the most evident driving effect on the housing price differentiations in China's cities; the driving effects from population aggregation and residential land supply are also very remarkable; the supply-demand theory and cost theory could be adopted simultaneously in explaining the housing price differentiation phenomenon in China.

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House price diffusion and inter‐regional and cross‐border house price dynamics

Cited by 101 publications

References 16 publications

Synchronisation and commonalities in metropolitan housing market cycles

Synchronisation and commonalities in metropolitan housing market cycles

Measuring the Spatial and Temporal Diffusion of Urban House Prices---Taking the Case of 18 Cities in East China

Impact Factors of Spatial Differentiation of Housing Prices in China's Cities

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