Forecasting UK house prices: a time varying coefficient approach

被引:48
作者
Brown, JP
Song, HY
McGillivray, A
机构
[1] Univ Abertay Dundee, Sch Social Sci, Div Econ, Dundee DD1 1HG, Scotland
[2] Univ Surrey, Dept Management Studies, Surrey GU2 5XH, England
关键词
UK house prices; Time Varying Coefficient models; Kalman filter;
D O I
10.1016/S0264-9993(97)00006-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
Previous studies of UK house prices, developed from the demand and supply of housing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression. (C) 1997 Elsevier Science B.V.
引用
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页码:529 / 548
页数:20
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