BACKGROUNDIn this contribution we critically appraise the social network indices in the Generations and Gender Survey (GGS).
OBJECTIVEAfter discussing the rationale for including social network indices in the GGS, we provide descriptive information on social network characteristics and an overview of substantive questions that have been addressed using GGS social network data: antecedents and consequences of demographic behaviour, care, and differences in wellbeing. We identify topics that have received relatively little attention in GGS research so far, despite the availability of novel and appropriate social network data. We end with a discussion of what is unique about the social network indices in the GGS.
METHODSThe descriptive information on social network characteristics is based on empirical analyses of GGS data, and an experimental pilot study. The overview of GGS research using social network indices is based on a library search.
RESULTSResults show a high representation of family members in the social networks, and confirm the adequacy of using a cap of five names for network-generating questions. GGS research using the social network indices has largely focused on determinants of fertility behaviour, intergenerational linkages in families, and downward care transfers.
CONCLUSIONSTopics that have received relatively little attention are demographic behaviours other than those related to parenthood, upward transfers of practical support, ties with siblings, and stepfamily ties. Social network indices in the GGS show a high degree of overlap with those in other international surveys. The unique features are the inventory of family ties ever born and still living, and the assessment of network members' normative expectations. The GGS holds a wealth of social network data that warrants a myriad of future investigations.
Relevance of social networks to the substantive focus of the GGPA person's social network is the group of individuals with whom that person has a direct relationship (Broese van Groenou and Van Tilburg 1996). Over the past decades, demographers have become more interested in investigating the role of social networks for a variety of topics, including reproductive behaviour (e.g., Watkins 1987), health and longevity (e.g., Seeman and Crimmins 2001), and migration (e.g., Massey 1990). Not surprisingly, social networks figure prominently in a number of substantive issues in the Generations and Gender Programme (GGP): the antecedents and consequences of demographic behaviour, reliance on public care services, and well-being. Depending on the research question, social networks serve as the independent variable (social networks predict or explain the outcome), or as the dependent variable (explaining differences in characteristics of social networks). An example of the latter is when demographic trends serve to explain differences in network size and composition. In this contribution to the special collection on Data Quality Issues in the First Wave of the Generations and Gender Survey...