Hoven, H;
Dragano, N;
Blane, D;
Wahrendorf, M;
(2018)
Early Adversity and Late Life Employment History—A Sequence Analysis Based on SHARE.
Work, Aging and Retirement
, 4
(3)
pp. 238-250.
10.1093/workar/wax014.
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Abstract
Numerous studies have linked poor socioeconomic circumstances during working life with early retirement. Few studies, however, have summarized entire patterns of employment histories and tested their links to social position at earlier stages of the life course. Therefore, this article summarizes types of late life employment histories and tests their associations with adversity both during childhood and early adulthood. We use data from the Survey of Health, Ageing and Retirement in Europe (SHARE) with retrospective life history data on 5,857 older men and women across 14 countries. Employment histories are studied with annual information on the employment situation between ages 50 and 70. To summarize employment histories we apply sequence analysis and group histories into 8 clusters with similar histories. Most of these clusters are dominated by full-time employees, with retirement before, at or after age 60. Additionally, we find clusters that are dominated by self-employment and comparatively late retirement. The remaining clusters are marked by part-time work, continuous domestic work, or discontinuous histories that include unemployment before retirement. Results of multinomial regressions (accounting for country affiliation and adjusted for potential confounders) show that early adversity is linked to full-time employment ending in retirement at age 60 or earlier and to discontinuous histories (in the case of women), but not to histories of self-employment. In sum, we find that histories of employees with early retirement and discontinuous histories are part of larger trajectories of disadvantage throughout the life course, supporting the idea of cumulative disadvantage in life course research.
| Type: | Article |
|---|---|
| Title: | Early Adversity and Late Life Employment History—A Sequence Analysis Based on SHARE |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/workar/wax014 |
| Publisher version: | http://dx.doi.org/10.1093/workar/wax014 |
| Language: | English |
| Additional information: | © The Authors 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10038261 |
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