A model of spatial patterns across local retail property markets in Great Britain

Property markets are commonly modelled either at relatively high levels of aggregation (such as regional or national) using time-series data or panel data, or at individual-town level. This paper develops a cross-sectional mo del of a large number of retail property markets at the city and town level . The model is developed using prime retail rental levels data as the depen dent variable and a number of demand and supply variables, suggested by the ory, as independent variables. The model takes the form of a single equatio n and is based on multiple linear least-squares regression analysis. During the course of the paper, a number of issues are addressed: principal compo nents analysis is suggested as a method of reducing multicollinearity in a model, and the spatial stability of the model is assessed. The paper conclu des that the size of the retail core (as measured by the number of national multiple retailers present) and the demographic profile of the local popul ation provide a highly significant explanation for the differential rental levels across towns and cities in Great Britain. The model generally exhibi ts a high degree of spatial stability, when tested using dummy variables an d F tests. However, there is some evidence of spatial instability in the co mmon model between southern and northern centres, large versus smaller cent res and across centres with high, medium or low rental levels, but this is inconclusive.