The dangers of conditioning on the time of occurrence of one demographic process in the analysis of another
AbstractDemographers and others often study the interaction between two types of individual-level behaviour, such as migration and childbearing. Unfortunately, one can get estimation bias if one compares childbearing before and after migration from data confined to migrants, say, as is sometimes done to see whether international migration disrupts fertility. Similar issues can arise in comparisons of union formation before and after first birth, marriage formation before and after home purchase, as well as in other comparisons of behaviour before and after an index event if one confines the study only to those who have experienced the index event. We point out that if one does this, then the study of behaviour before the index event actually conditions on the later arrival of the index event. This amounts to anticipatory analysis, which normally produces an estimation bias. In this paper we discuss this issue, provide a mathematical and graphical representation of it, and show how one can avoid estimation bias and get a meaningful (unconditional) comparison of behaviour before and after the index event provided the data contain enough information for both sub-periods.
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Bibliographic InfoPaper provided by Max Planck Institute for Demographic Research, Rostock, Germany in its series MPIDR Working Papers with number WP-2013-006.
Length: 21 pages
Date of creation: May 2013
Date of revision:
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Web page: http://www.demogr.mpg.de/
childbearing; event history analysis; marriage; migration;
Find related papers by JEL classification:
- J1 - Labor and Demographic Economics - - Demographic Economics
- Z0 - Other Special Topics - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-04 (All new papers)
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.:
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