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  • The main objectives of this paper are, first, to assess differences in the socio-demographic structure between twin and multiple-child households in Germany and, second, to demonstrate the usability of the TwinLife panel study for differentiated social structural analysis. More specifically, this paper will describe the sampling design of the TwinLife study and compare the distributions of the key socio-demographic variables in TwinLife with those covered by the German Microcensus using a proxy-twin and a multiple-child household sample. The analyses show that (proxy-)twin and multiple-child households in Germany are similar with respect to most socio-demographic indicators. The sole difference is the higher prevalence of households with two children among multiple-child households. Further, the analyses demonstrate that the probability-based sampling design of TwinLife successfully counteracts the overrepresentation of monozygotic twins typically characterizing other twin samples based on self-recruitment. Most importantly, the results show that the TwinLife sample covers the full distributions including the lower and upper bounds for the core social inequality indicators – educational status, occupational status and income. This enables researchers to use the TwinLife survey for multidimensional analyses of social inequality and differences in gene expression, and thus also to study gene-environment interplay. However, the analyses also indicate that participation in the first wave of TwinLife was, to some degree, selective with regard to parental educational level, particularly in the younger cohorts. A weighting scheme addressing this selectivity is therefore suggested. (xsd:string)
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  • 2017 (xsd:gyear)
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  • 2017 (xsd:gyear)
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  • The sampling design and socio-demographic structure of the first wave of the TwinLife panel study: a comparison with the Microcensus (xsd:string)
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  • techreport (xsd:string)
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