Anticipatory analysis and its alternatives in life-course research
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.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jan M. Hoem & Michaela Kreyenfeld, 2006. "Anticipatory analysis and its alternatives in life-course research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(17), pages 485-498, November.
- Anders Björklund, 2006. "Does family policy affect fertility?," Journal of Population Economics, Springer, vol. 19(1), pages 3-24, February.
When requesting a correction, please mention this item's handle: RePEc:dem:demres:v:15:y:2006:i:16. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Office)
If references are entirely missing, you can add them using this form.