The ripple effect hypothesis implies a long-run convergence of regional UK house prices. However, despite many authors believing in the existence of such an underlying constancy, statistical evidence has yet to be presented supporting this implication. In this paper, an alternative approach is proposed to analyse regional house price ratios. In contrast to the findings of previous studies, application of this new procedure results in the detection of widespread convergence of house prices in a number of regions of the UK. The results suggest that the failure of previous analyses to uncover convergence is due to an underlying asymmetry in the adjustment process being ignored. Interestingly, the form of asymmetry detected varies between regions. While regions in the South East experience faster convergence following downswings in prices, other regions exhibit more rapid convergence following increases in prices.
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References
1.
Alexander, C. and Barrow, M. (1994) Seasonality and cointegration of regional house prices in the UK UrbanStudies, 31, pp. 1667-1689.
2.
Ashworth, J. and Parker, S. (1997) Modelling regional house prices in the UK, Scottish Journal of Political Economy, 44, pp. 225-246.
3.
Ball, L. and Mankiw, G. (1994) Asymmetric price adjustment and economic fluctuations , Economic Journal, 104, pp. 247-261.
4.
Chan, K. (1993) Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model, Annals of Statistics, 21, pp. 520-533.
5.
Chan, K. and Tsay, R. (1998) Limiting properties of the least squares estimator of a continuous threshold autoregressive model, Biometrika , 85, pp. 413-426.
6.
Cook, S. and Holly, S. (2000) Stastistical properties of UK house prices: an analysis of disaggregated vintages, UrbanStudies, 37, pp. 2045-2055.
7.
Cook, S. and Holly, S. (2002) Detecting asymmetry in UK regional house prices (mimeograph).
8.
Dickey, D. and Fuller, W. (1979) Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statisticaln Association, 74, pp. 427-431.
9.
Dixit, A. (1992) Investment and hysteresis, Journal of Economic Perspectives, 6, pp. 107-132.
10.
Drake, L. (1993) Testing for convergence between UK regional house prices, Regional Studies, 29, pp. 357-366.
11.
Enders, W. (2001) Improved critical values for the Enders-Granger unit root test, Applied Economics Letters, 8, pp. 257-261.
12.
Enders, W. and Granger, C. (1998) Unit root tests and asymmetric adjustment with an example using the term structure of interest rates, Journal of Business and Economic Statistics, 16, pp. 304-311.
13.
Engle, R. and Granger, C. (1987) Cointegration and error correction: representation, estimation and testing, Econometrica, 55, pp. 251-276.
14.
Fuller, W. (1996) Introduction to Statistical Time Series, 2nd edn. New York: Wiley.
15.
Gale, D. (1996) Delay and cycles, Review of Economic Studies, 63, pp. 169-198.
16.
Granger, C.W.J. (1969) Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 37, pp. 424-438.
17.
Holmans, A. (1990) House price: changes through time at national and sub-national level. Working Paper 110, Government Economic Service.
18.
Johansen, S. (1988) Statistical analysis of cointegration vectors, Journal of EconomicsDynamics and Control, 12, pp. 231-254.
19.
Krane, S. (1994) The distinction between inventory holding and stock-out costs: implications for target inventories, asymmetric adjustment and the effect of aggregation on production smoothing, International Economic Review, 35, pp. 117-136.
20.
Macd, R. and Taylor, M. (1993) Regional house prices in Britain: long-run relationships and short-run dynamics, Scottish Journal of Political Economy , 40, pp. 43-55.
21.
Mackinnon, J. (1991) Critical values for cointegration tests, in: R. Engle and C. Granger (Eds) Long-Run Economic Relationships, pp. 266-276. Oxford: Oxford University Press.
22.
Meen, G. (1999) Regional house prices and the ripple effect: a new interpretation, Housing Studies, 14, pp. 733-753.
23.
Newbold, P., Leybourne, S. and Wohar, M. (2001) Trend-stationarity, difference-stationarity or neither: further diagnostic tests with an application to U.S. real GNP, 1875-1993 , Journal of Economics and Business, 53, pp. 85-102.
24.
Petersen, W., Holly, S. and Gaudoin, P. (2002) Further Work on an economic model of the demand for social housing. Report to theDepartment of the Environment, Transport and the Regions.
25.
Pippenger, M. and Goering, G. (1993) A note on the empirical power of unit root tests under threshold processes, Oxford Bulletin of Economics and Statistics, 55, pp. 473-481.
26.
Tong, H. (1990) Non-linear Time-series: A Dynamical Approach. Oxford: Oxford University Press.
