Arbeitsbereich

Bevölkerungsdynamik und Nachhaltiges Wohlbefinden

Auf einen Blick Projekte Publikationen Team

Projekt

Predicting Work-Family Life Course Sequences

Linda Vecgaile, Emilio Zagheni, Luca Badolato (The Ohio State University, Columbus, Vereinigte Staaten); in Zusammenarbeit mit Luiz Felipe Vecchietti (Institute for Basic Science, Daejeon, Korea, Süd)

This project uses machine learning approaches to model and predict life course trajectories in order to identify groups at risk of employment instability, financial insecurity, or health-related hardship, and to generate evidence that supports the design of targeted labor market and social policies.  Ausführliche Beschreibung

Publikationen

Vecgaile, L.:

The timing of poverty prevention: how early can women’s near-retirement poverty risk be detected?

MPIDR Working Paper WP-2026-031. (2026)    

Vecgaile, L.:

Convergence and divergence: from life-course trajectories to age 50 to projections of gendered old-age income inequality in Germany

MPIDR Working Paper WP-2026-032. (2026)    

Vecgaile, L.; Spata, A.; Vecchietti, L. F.; Zagheni, E.:

Predicting individual life trajectories: addressing uncertainty in social employment transitions

SocArXiv papers. unpublished. (2025)