Laboratory

Population Dynamics and Sustainable Well-Being

Project

Predicting Work-Family Life Course Sequences

Linda Vecgaile, Emilio Zagheni, Luca Badolato (The Ohio State University, Columbus, USA); in Collaboration with Luiz Felipe Vecchietti (Institute for Basic Science, Daejeon, Korea, South)

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. Detailed Description

Research Keywords:

Demographic Change, Economics, Employment, Retirement, Life Course, Policies, Politics, Administration, Welfare State, Projections and Forecasting

Region keywords:

Europe

Links:

Preprint: Predicting Individual Life Trajectories: Addressing Uncertainty in Social Employment Transitions

Preprint: Women's Employment and Family Trajectories Shape Health Unequally in Later Life Across Welfare Regimes