Full-time employment is all that matters? Quantifying the role of relevant and gender-exclusive life-course experiences for gender pension gaps.
Gender pension gaps (GPGs) represent crucial indicators of gender inequalities over the life course. Despite reaching higher levels, they have received less attention than other gender inequalities, such as gender wage gaps. More generally, research typically focuses on selected sets of life course...
| Publicado en: | Social Forces Vol. 104; no. 4; pp. 1337 - 1363 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Jun2026
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=193469027&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 193469027 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00377732 SFR jtl: Social Forces issn: 00377732 maglogo: N pubinfo: dt: Jun2026 vid: 104 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 193469027 10.1093/sf/soaf143 ppf: 1337 ppct: 26 formats: tig: atl: Full-time employment is all that matters? Quantifying the role of relevant and gender-exclusive life-course experiences for gender pension gaps. aug: au: Rowold, Carla affil: Department of Sociology, Nuffield College, University of Oxford, United KingdomMax Planck Institute for Demographic Research, Rostock, GermanyMax Planck – University of Helsinki Center for Social Inequalities in Population Health, Rostock, Germany and Helsinki, FinlandHertie School, Berlin, GermanyEinstein Center Population Diversity (ECPD), Berlin, Germany su: Germany Europe Netherlands Gender inequality Employment tenure Housekeeping Retirement income Machine learning Data analysis Gender wage gap Life course approach sug: subj: Gender inequality Employment tenure Housekeeping Germany Europe Netherlands Janitorial Services Janitorial services (except window cleaning) Retirement income Machine learning Data analysis Gender wage gap Life course approach keyword: copyrightHolder:University of North Carolina Chapel Hill copyrightYear:2026 decomposition feature selection gender inequality gender pension gap inLanguage:en life course pension inequality pension system publisher:Oxford University Press sameAs:https://dx.doi.org/10.1093/sf/soaf143 sequence analysis copyrightHolder:University of North Carolina Chapel Hill copyrightYear:2026 decomposition feature selection gender inequality gender pension gap inLanguage:en life course pension inequality pension system publisher:Oxford University Press sameAs:https://dx.doi.org/10.1093/sf/soaf143 sequence analysis ab: Gender pension gaps (GPGs) represent crucial indicators of gender inequalities over the life course. Despite reaching higher levels, they have received less attention than other gender inequalities, such as gender wage gaps. More generally, research typically focuses on selected sets of life course summary measures, predominantly the employment duration , to explain gender inequalities across the life course. This oversimplifies gender-specific life courses in particular. Taking a life-course perspective and using data from the Survey of Health, Ageing, and Retirement in Europe for the Netherlands and West Germany, I propose an innovative combination of machine learning, sequence analysis, and decomposition techniques, allowing for a new perspective on gender inequalities over the life course. The study disentangles which specific life-course elements are most relevant for pension inequalities and quantifies the role of gender-exclusive life-course experiences for gender disparities. I find that the duration , timing , order of life-course events, and overall life-course complexity matter for pension income inequalities in both pension systems. Specifically, the duration , timing, and order of care work experiences are more crucial pension predictors than the employment duration , which has been the primary focus of previous research. This holds for the GPGs: the largest shares are attributable to gender-exclusive life-course experiences because of the lack of a male counterpart for female engagement in care work, which is poorly rewarded in pension systems. Future research and policymakers will benefit from considering such gender-specific combinations of life-course experiences for the gender pension gap and other inequalities. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|