Modelling mover/stayer characteristics across the lifecourse using a large commercial sample

This paper reports the results of logistic regression models for four consecutive age groups in order to capture variations in the characteristics of movers and non-movers across the lifecourse. The increasing availability of new/alternative sources of microdata, such as Acxiom Ltd.’s Research Opinion Poll, provides an opportunity to uncover a series of directional associations for covariates that have been largely untested in existing empirical literature. Analysis shows how certain key associational patterns of demographic, socioeconomic, housing and neighbourhood characteristics vary across lifecourse stages. Whilst the empirical results confirm findings from the literature, they also provide new insights into the relevance of subjective neighbourhood satisfaction, suggesting that across the lifecourse, satisfaction is particularly marked for those who have recently moved, a pattern that happens to be further amplified if the mover is a homeowner.