Reports on a study, which estimates a cross-sectional model of UK standard retail yields, in which yield differentials across 65 UK centres are examined with respect to rent variation and an extensive database of economic, social and location-specific information. Finds that two variables, retail footprint scores and occupational coding classification AB, capture the dynamism of local consumer spending power most effectively and explain yield differentials best. Concludes that locations at the high and low ends of the yield spectrum are not as well explained by this analysis as those in the middle range and cluster analysis should be explored in over- and under-pricing examinations. Table covers estimation results, figure details actual and predicted yields in low-and high-yield centres. Appendix lists range of variables used in the analysis. References and notes. [Taken from journal abstract].