What’s good for the goose is good for the gander?
This project examines how people’s life paths differ — and how public policies may affect different groups in different ways. Using Danish population registers, the team builds a large data-driven model that traces life events across areas such as family, work, health, and education.

From a SODAS perspective, the project treats life courses as social sequences that can reveal hidden structures of inequality. SODAS contributes to the project’s analytical framework and model evaluation — ensuring that the technical modelling is grounded in meaningful social interpretation and comparative benchmarking.
In particular, SODAS (Andreas Bjerre-Nielsen) helps design the empirical applications and leads work on how the model’s representations of people’s life trajectories can be used to study variation in outcomes and policy effects across social groups.
Researchers:
Project PI: Laust Hvas Mortensen (RFF)
Co-PI: Andreas Bjerre-Nielsen (responsible for research design)
Member: Sune Lehmann
