Postdoc at Hertie School, previously MPIDR and Nuffield College, Uni Oxford.
Interested in gender inequalities over the life course & in old age
crowold.github.io #firstgen
💫Looking forward to your submissions!
💫Looking forward to your submissions!
🗓️ 18 Sept 📍Online
Check time in your time zone & register 👇
femquant.wordpress.com/seminar-seri...
🗓️ 18 Sept 📍Online
Check time in your time zone & register 👇
femquant.wordpress.com/seminar-seri...
- Apply to other inequalities (e.g., intersectionality, wealth, wages)
- For 🚻inequalities: valuable in conservative contexts for capturing the structural drivers of life-course-sensitive inequalities
→ Particularly useful as life courses become more complex in younger cohorts
- Apply to other inequalities (e.g., intersectionality, wealth, wages)
- For 🚻inequalities: valuable in conservative contexts for capturing the structural drivers of life-course-sensitive inequalities
→ Particularly useful as life courses become more complex in younger cohorts
- Pension systems value unpaid care far less than paid work → structural penalties
- Highlights how conservative systems shape & devalue gendered life courses
- Pension systems value unpaid care far less than paid work → structural penalties
- Highlights how conservative systems shape & devalue gendered life courses
- Prior studies overestimated compositional share of GPGs
- My results:
→ GPG driven by gender-exclusive life-course experiences
→ Main reason = lack of male counterparts for low rewarded unpaid care work
→ Earlier & longer care spells = highest pension penalty
- Prior studies overestimated compositional share of GPGs
- My results:
→ GPG driven by gender-exclusive life-course experiences
→ Main reason = lack of male counterparts for low rewarded unpaid care work
→ Earlier & longer care spells = highest pension penalty
✔️ Care work:
→ among the top pension predictors
→ more important than full-time employment duration
→ especially relevant for women’s pensions & GPG
🔎 Sensitivity tests: when including gender, it’s the strongest pension predictor in both countries!
✔️ Care work:
→ among the top pension predictors
→ more important than full-time employment duration
→ especially relevant for women’s pensions & GPG
🔎 Sensitivity tests: when including gender, it’s the strongest pension predictor in both countries!
- Life Course Feature Selection: ranks key life-course predictors of pension income
- In combi with the feature selection, Ñopo decomposition quantifies how *gender-exclusive* life-course patterns shape the GPG, addressing the lack of common support in gender-segregated life courses
- Life Course Feature Selection: ranks key life-course predictors of pension income
- In combi with the feature selection, Ñopo decomposition quantifies how *gender-exclusive* life-course patterns shape the GPG, addressing the lack of common support in gender-segregated life courses
- But life courses are increasingly complex
- Considering life-course complexities like timing and order of family interruptions is vital for policy design & evaluation
- The study contributes to debates on which life-course elements matter most
- But life courses are increasingly complex
- Considering life-course complexities like timing and order of family interruptions is vital for policy design & evaluation
- The study contributes to debates on which life-course elements matter most