|Cooper, Crispin, Orford, Scott, Webster, Christopher John and Jones, Christopher Bernard 2013. Exploring the ripple effect and spatial volatility in house prices in England and Wales: regressing interaction domain cross-correlations against reactive statistics. Environment and Planning B: Planning and Design 40 (5) , pp. 763-782. 10.1068/b37062|
In this study we conduct an exploratory spatiotemporal analysis of recent UK housing-market data 2000–06, fine grained both in space and in time. We present firstly the exploratory technique itself, and secondly an overview of patterns found in the dataset. A broadly scoped metamodel is created which points towards fruitful avenues for further investigation and understanding of the driving forces behind price propagation in the housing market. At the core of this model is an 8850 × 8850 cross-correlation matrix representing price linkage between different areas, which is analyzed by a custom regression engine. Hence this is the first study to unify both local and regional house-price modelling, and the first to look for a quantitative explanation of the structure of any house-price interaction matrix on a large scale. Findings corroborate existing research on the ripple effect and spatial volatility, and point towards mechanisms through which these might arise, as a combination of local interaction and market segmentation broken by lifecycle migration patterns.
|Schools:||Advanced Research Computing @ Cardiff (ARCCA)
Computer Science & Informatics
Geography and Planning
Sustainable Places Research Institute (PLACES)
|Subjects:||G Geography. Anthropology. Recreation > G Geography (General)
H Social Sciences > HN Social history and conditions. Social problems. Social reform
|Uncontrolled Keywords:||migration, network analysis, interaction, census, house prices, time series, cross-correlation, spatial data, regression, ripple effect|
|Additional Information:||Online publication date: 2013.|
|Last Modified:||15 Feb 2017 04:00|
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