Previous studies of UK house prices, developed from the demand and sup
ply of housing or from the asset market approach have been poor in ter
ms of robustness and ex-post forecasting ability. The UK housing marke
t has suffered a number of structural changes, particularly since the
early 1980s with substantial house price increases, financial market d
eregulation and the removal of mortgage market constraints through com
petition. Consequently, models which assume that the underlying data-g
enerating process is stable and apply constant parameter techniques te
nd to suffer in terms of parameter instability. This article uses the
Time Varying Coefficient (TVC) methodology where the underlying data-g
enerating process in the UK housing market is treated as unstable. The
estimation results of the TVC regression of UK house prices is compar
ed with those obtained from three alternative constant parameter regre
ssions. Comparisons of forecasting performance suggest the TVC regress
ion out-performs forecasts from an Error Correction Mechanism (ECM), V
ector Autoregressive (VAR) and an Autoregressive Time Series regressio
n. (C) 1997 Elsevier Science B.V.