De-standardization and gender convergence in work–family life courses in Great Britain: A multi-channel sequence analysis

McMunn, Anne; Lacey, Rebecca; Worts, Diana; McDonough, Peggy; Stafford, Mai; Booker, Cara L; Kumari, Meena; Sacker, Amanda

doi:10.1016/j.alcr.2015.06.002

Cited by 76 publications

(88 citation statements)

References 35 publications

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“…Instead, delays in parenthood and increases in cohabitation before and after the transition to parenthood are becoming more frequent (Elzinga and Liefbroer 2007). In addition, men and women from younger cohorts are more likely to experience spells being single or divorced in their mid-life years (McMunn et al 2015). Due to these changes, women in younger cohorts are exposed to full-time employment for longer spells of time (Frejka and Sobotka 2008).…”

Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

“…Due to these changes, women in younger cohorts are exposed to full-time employment for longer spells of time (Frejka and Sobotka 2008). In general, women's life courses have become progressively more similar to men's in terms of their education and employment pathways (Brückner and Mayer 2005;McMunn et al 2015).…”

Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

“…marriage no longer depends on having secure, full-time employment, and parenthood is no longer contingent on marriage (Brückner and Mayer 2005). Together, these processes have led to the diversification of family trajectories in younger cohorts (McMunn et al 2015). While women's life-course employment trajectories have become more similar to those of men, this has resulted in increasing heterogeneity in work-family choices amongst women and a diversification of their life-course trajectories (Brückner and Mayer 2005).…”

Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

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Birth cohort, ageing and gender ideology: Lessons from British panel data

Perales

Lersch

Baxter

2019

Social Science Research

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Individuals' gender attitudes influence their behaviors, and adherence to traditional gender ideology is an important mechanism contributing to the (re)production of gender inequalities. In developed nations, the 'gender revolution' was accompanied by marked societal shifts towards gender-egalitarian attitudes, but these trends have recently stalled. In this paper, we reexamine the role of birth cohort and ageing in influencing gender ideology through the lens of life-course theory and leveraging British panel data. We contribute to the field by considering cohort-differences in ageing effects on gender ideology and documenting withincohort variability in such effects. We find that (i) people from older cohorts hold comparatively more traditional gender attitudes, (ii) the effect of ageing on gender ideology is positive (iii) there are cohort-differences in these ageing effects, (iv) gender-attitude trajectories are less predictable in younger than older cohorts, and (v) factors capturing lifecourse experience explain little of the cohort differences. Our findings highlight important avenues for future research on gender ideology change, and offer insights into the likely pace and direction of social movements towards gender egalitarianism.

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Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

Section: Between-cohort Variation In Ageing Effects On Individuals' Gmentioning

confidence: 99%

See 1 more Smart Citation

Birth cohort, ageing and gender ideology: Lessons from British panel data

Perales

Lersch

Baxter

2019

Social Science Research

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“…In another study, the British cohorts were used to classify sequences of employment and family building into groups with similar patterns [3]. As in the analysis of wages in the illustration on p. 1, the patterns of employment and family histories to mid-life show some convergence between men and women, but not the complete elimination of female economic disadvantage.…”

Section: Gender Patterns Of Pay Employment and Family Arrangementsmentioning

confidence: 99%

Why do we need longitudinal survey data?

Joshi¹

2016

izawol

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Longitudinal surveys form a record of continuities and transitions of a life as they happen, information not reliably gained through recollection or cross-section surveys. Such surveys can reveal how domains of life intertwine over time in the same person. Information from an individual's past helps unpack present observations and future expectations for that person. Multiple applications and an ability to link to administrative data make longitudinal surveys cost-effective. Analyses of such survey data may detect causation within correlation. eLeVator PitCHInformation from longitudinal surveys transforms snapshots of a given moment into something with a time dimension. It illuminates patterns of events within an individual's life and records mobility and immobility between older and younger generations. It can track the different pathways of men and women and people of diverse socio-economic background through the life course. It can join up data on aspects of a person's life, health, education, family, and employment and show how these domains affect one another. It is ideal for bridging the different silos of policies that affect people's lives. aUtHor's MaiN MessaGeThe rich data from longitudinal surveys can illuminate patterns and drivers of change within a lifetime and across generations. Data collected on the same individuals over time can relate outcomes at one time to information on the past and record interdependence among domains, such as health, wealth, and education. The dynamic perspective on linked developments in work and family roles can guide policy by revealing, for example, converging patterns in men's and women's lives and trends in social inequalities in life chances. Longitudinal surveys can inform policy in many arenas, making it important to find ways to finance and sustain them. ConsLongitudinal survey data are expensive to collect and challenging to analyze. Data must be collected over a long timeframe to show relevant, long-term results. Having usable longitudinal survey data requires that informants not drop out of the survey, which limits how much information they can be asked to provide. Data confidentiality has to be safeguarded, putting hurdles across easy research access. Caution is needed in inferring causality from observational data, where changes may not be independently generated.

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“…Nevertheless, in many papers, one of the life course do-main is the central topic of investigation, while the other is used as a time-variant independent variable (Charles and Harris 2007;Jacob and Kleinert 2008;Teachman 2010). Much less frequently, two life course domains are placed on the same level and analyzed together with descriptive aims (Davia and Legazpe 2014;McMunn et al 2015;. This strategy is even rarer if we consider three or more life course domains .…”

Section: Theoretical Backgroundmentioning

confidence: 99%