Is there long-run convergence of regional house prices in the UK?
Mark Holmes () and
Arthur Grimes
No 05_11, Working Papers from Motu Economic and Public Policy Research
Abstract:
This paper investigates the long-run convergence of regional house prices in the UK. Using a variety of econometric methods, existing studies have failed to reach a consensus on whether or not regional house prices are cointegrated and exhibit long-run constancy relative to each other. We propose the application of a new test that combines principal components analysis with unit root testing to throw new light on the regional convergence debate. Using mix-adjusted quarterly house price data for 1973-2005, we find that existing unit root and cointegration methodologies indicate the presence of multiple stochastic trends with, at best, very weak evidence of long-run convergence. However, testing for the stationarity of the largest principal component based on regional house price differentials suggests that all UK regional house prices are driven by a single common stochastic trend and can be regarded as exhibiting strong convergence in the long-run. Further analysis suggests there is a high degree of persistence in regional house price differentials.
Keywords: House prices; convergence; unit roots; cointegration; principal components (search for similar items in EconPapers)
JEL-codes: C5 R0 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2005-08
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
https://motu-www.motu.org.nz/wpapers/05_11.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mtu:wpaper:05_11
Access Statistics for this paper
More papers in Working Papers from Motu Economic and Public Policy Research Contact information at EDIRC.
Bibliographic data for series maintained by Maxine Watene ().