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)

In this project, we use statistical and machine-learning approaches to predict life-course sequences, including career outcomes and life paths. The aim is to identify risk groups for long-term unemployment or financial hardship and inform targeted policy interventions. Detailed Description

Research Keywords:

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

Region keywords:

Europe

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Research

Social Demography (Myrskylä)
Fertility and Well-Being
Population Health
Research Group: Labor Demography
Biosfer
MaxHel Center
Digital and Computational Demography (Zagheni)
Migration and Mobility
Population Dynamics and Sustainable Well-Being
Joint Research Labs
Demographic Data
Statistical Demography
Independent Research Groups
Research Group: Lifespan Inequalities
Research Group: Kinship Inequalities
Research Group: Gender Inequalities and Fertility
Research Group: Migration and Health Inequalities