Volume 44 - Article 1 | Pages 1–48
Background: Family patterns in Western countries have changed substantially across birth cohorts. The spread of unmarried cohabitation, the decline and postponement of marriage and fertility, and the rise in nonmarital births, partnership instability, and repartnering lead to an increasing diversity in family life courses.
Objective: In this paper we demonstrate how to set up a tool to explore family life trajectories. This tool models the changing family patterns, taking into account the complex inter-relationships between childbearing and partnership processes.
Methods: We build a microsimulation model parameterised using retrospective partnership and childbearing data. The data cover women born since 1940 in Italy, Great Britain, and two Scandinavian countries (Norway and Sweden), three significantly different cultural and institutional contexts of partnering and childbearing in Europe.
Results: We guide readers through the modelling of individual life events to obtain a set of aggregate estimates, providing information on the power, technical structure, and underlying assumptions of microsimulations. Validation of the simulated family life courses against their real-world equivalents shows that the simulations not only closely replicate observed childbearing and partnership processes, but also provide high quality predictions when compared to more recent fertility indicators.
Conclusions: Using observed population estimates to systematically validate the results both validates our model and increases confidence that microsimulations satisfactorily replicate the behaviour of the original population.
Contribution: We create and validate a microsimulation model that can be used not only to explore mechanisms throughout the family life course but also to set up scenarios and predict future family patterns.
- Maria Winkler-Dworak - Vienna Institute of Demography (Austrian Academy of Sciences), Austria EMAIL
- Eva Beaujouan - Universität Wien, Austria EMAIL
- Paola Di Giulio - Vienna Institute of Demography (Austrian Academy of Sciences), Austria EMAIL
- Martin Spielauer - Österreichisches Institut für Wirtschaftsforschung, Austria EMAIL
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