Exploring the Ripple Effect and Spatial Volatility in House Prices in England and Wales: Regressing Interaction Domain Cross-Correlations against Reactive Statistics. (October 2013)

• Record Type: Journal Article
• Authors: Cooper, Crispin; Orford, Scott; Webster, Chris; Jones, Christopher B
• Is Part Of: Environment and planning. Volume 40:Number 5(2013)
• Page Start: 763
• Page End: 782
• Publication Date: 2013-10
• Subjects: migration -- network analysis -- interaction -- census -- house prices -- time series -- cross-correlation -- spatial data -- regression -- ripple effect; Architecture -- Research -- Periodicals; Building -- Research -- Periodicals; Land use -- Planning -- Periodicals; Architecture -- Research; Building -- Research; Land use -- Planning; Periodicals; 720.5
• DOI: 10.1068/b37062
• Languages: English
• ISSNs: 0265-8135

Abstract

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.