Anticipatory analysis and its alternatives in life-course research
Jan M. Hoem and
Michaela Kreyenfeld Additional contact information Jan M. Hoem: Max Planck Institute for Demographic Research
Michaela Kreyenfeld: Max Planck Institute for Demographic Research
Abstract:
Procedures that seek to explain current behavior by future outcomes (anticipatory analysis) constitute a widespread but problematic approach in life-course analysis because they disturb the role of time and the temporal order of events. Nevertheless the practice is often used, not least because it easily produces useful summary measures like the median age at first childbearing and the per cent permanently childless in various educational groups, defined by ultimate attainment. We use an empirical example to demonstrate the issues involved and to propose an alternative "non-anticipatory" research strategy, which, however, does not equally easily provide summary measures.