Publications with the keyword "data validation"


Kreyenfeld, M. and Hornung, A. and Kubisch, K.
The German Generations and Gender Survey: Some Critical Reflections on the Validity of Fertility Histories.
Comparative Population Studies – Zeitschrift für Bevölkerungswissenschaft., 2013
fertility fertility history union history marriage data validation germany west germany generations gender survey ggs micro-census
URL, DOI, JabRef BibTex, Abstract
Abstract: This paper validates the fertility histories of the German Generations and Gender Survey (GGS). Focusing on the cohorts 1930-69 of West German women, the total number of children, the parity distribution and the parity progression ratios are compared to external sources. One major result from this validation is that the German GGS understates the fertility for the older cohorts and overstates it for the younger ones. We presume that two mechanisms are responsible for this pattern in the German GGS: On the one hand, children who have left parental home are underreported in the retrospective fertility histories. On the other hand, women with small children are easier to reach by the interviewer. These two mechanisms taken together produce too low numbers of children for the older and too high ones for the younger cohorts. Extending the validation to marital histories has revealed a similar bias. Our general conclusion from this investigation is that the German GGS may not be used for statistical analyses of cohort fertility and marriage trends. For subsequent surveys, we suggest integrating simple control questions in questionnaires with complex retrospective fertility and union histories.
Kreyenfeld, M. and Hornung, A. and Kubisch, K. and Jaschinski, I.
Fertility and union histories from German GGS data: some critical reflections
MPIDR Working Paper, 2010
fertility data validation german generation gender survey
URL, JabRef BibTex, Abstract
This paper validates the fertility and union histories of the German Generations and Gender Survey (GGS). One major result from this validation is that the fertility of the older GGS-cohorts is too low, while it is too high for the younger cohorts. For partnership histories, we find a similar bias. In sum, the GGS gives wrong cohort fertility and marriage trends for Germany. We speculate on various sources for this bias in the data. However, we were unable to find a remedy to cure it.

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