Citation

Coulter R, Bayrakdar S, Berrington A. Geogr. Comp. 2020; 14(5): e12488.

Copyright

(Copyright © 2020, John Wiley and Sons)

DOI

10.1111/gec3.12488

PMID

unavailable

Abstract

In many countries, there is growing public concern about the increasing difficulties that young people face in obtaining secure, affordable, high-quality, and well-located housing. Much of the analysis and discussion focuses on the ways in which intergenerational housing inequalities have deepened over time as young adults' fortunes have deteriorated, most obviously through declining access to homeownership. In this review, we showcase how researchers are harnessing life course theories and rich longitudinal data sets, exploiting longitudinal modelling techniques, and developing new geographical data linkages to enhance our knowledge of a broader range of housing inequalities in young adulthood. We argue that incorporating these longitudinal perspectives more fully into geographical research and teaching will foster an enriched pluralistic model of quantitative human geography that is characterised by collaboration, critical engagement with policy issues, and sensitivity to the strengths and challenges of working in an integrated fashion with varied forms of numerical data.

Language: en

Keywords

data structures; housing; inequality; policy; young people