Volume 32 - Article 24 | Pages 723–774
Quality of demographic data in GGS Wave 1
|Date received:||16 Oct 2013|
|Date published:||13 Mar 2015|
|Keywords:||data quality, demographic indicators, fertility, Generations and Gender Survey (GGS), GGP, GGS, nuptiality, validation, vital registration|
|Additional files:||readme.32-24 (text file, 8 kB)|
|32-24 Appendix (pdf file, 4 MB)|
|demographic-research.32-24 (zip file, 32 kB)|
Background: A key feature of the Generations & Gender Programme (GGP) is that longitudinal micro-data from the Generations and Gender Surveys (GGS) can be combined with indicators from the Contextual Database (CDB) that provide information on the macro-level context in which people live. This allows researchers to consider the impact of socio-cultural, economic, and policy contexts on changing demographic behaviour since the 1970s. The validity of longitudinal analyses combining individual-level and contextual data depends, however, on whether the micro-data give a correct account of demographic trends after 1970.
Objective: This article provides information on the quality of retrospective longitudinal data on first marriage and fertility in the first wave of the GGS.
Methods: Using the union and fertility histories recorded in the GGS, we compare period indicators of women’s nuptiality and fertility behaviour for the period 1970-2005 and cohort indicators of nuptiality and fertility for women born after 1925 to population statistics.
Results: Results suggest that, in general, period indicators estimated retrospectively from the GGS are fairly accurate from the 1970s onwards, allowing exceptions for specific indicators in specific countries. Cohort indicators, however, were found to be less accurate for cohorts born before 1945, suggesting caution when using the GGS to study patterns of union and family formation in these older cohorts.
Conclusions: The assessment of the validity of demographic data in the GGS provides country-specific information on time periods and birth cohorts for which GGS estimates deviate from population statistics. Researchers may use this information to decide on the observation period or cohorts to include in their analysis, or use the results as a starting point for a more detailed analysis of item nonresponse in union and fertility histories, which may further improve the quality of GGS estimates, particularly for these earlier periods and older birth cohorts.
Comments: Detailed country-specific results are included in an appendix to this paper, available for download from the additional material section.
Jorik Vergauwen - Universiteit Antwerpen, Belgium
Jonas Wood - Universiteit Antwerpen, Belgium
David De Wachter - Universiteit Antwerpen, Belgium
Karel Neels - Universiteit Antwerpen, Belgium
Other articles by the same author/authors in Demographic Research
Socioeconomic preconditions to union formation: Exploring variation by migrant background
Volume 45 - Article 32
Ready for parenthood? Dual earners' relative labour market positions and entry into parenthood in Belgium
Volume 42 - Article 33
Co-ethnic marriage versus intermarriage among immigrants
and their descendants: A comparison across seven European countries using event-history analysis
Volume 39 - Article 17
The educational gradient of childlessness and cohort parity progression in 14 low fertility countries
Volume 31 - Article 46
Most recent similar articles in Demographic Research
Evaluating interviewer manipulation in the new round of the Generations and Gender Survey
Volume 43 - Article 50 | Keywords: data quality, Generations and Gender Survey (GGS)
Historical reproductive patterns in developed countries: Aggregate-level perspective
Volume 38 - Article 2 | Keywords: fertility, nuptiality
Generations and Gender Programme Wave 1 data collection: An overview and assessment of sampling and fieldwork methods, weighting procedures, and cross-sectional representativeness
Volume 34 - Article 18 | Keywords: data quality, GGS
Reliability of retrospective event histories within the German Generations and Gender Survey: The role of interviewer and survey design factors
Volume 34 - Article 11 | Keywords: fertility, GGS
What is your couple type? Gender ideology, housework sharing, and babies
Volume 32 - Article 30 | Keywords: fertility, GGS
Cited References: 84
»View the references of this article
Download to Citation Manager