Volume 49 - Article 19 | Pages 493–512
Describing the Dutch Social Networks and Fertility Study and how to process it
By Gert Stulp
Abstract
Background: The social networks of people play a prominent role in theories on fertility. Investigating how networks shape behaviour is hard, because of the difficulty in measuring (large) networks among representative samples. Therefore, comprehensive studies of the variation in the structure and composition of networks and their impact on fertility outcomes are lacking.
Objective: I aim to, first, describe the Dutch Social Networks and Fertility Study, and, second, describe the R-package FertNet that processes data from this study and transforms it into an easy-to-use format for researchers.
Methods: The data used are from the Longitudinal Internet Social Survey (LISS) panel, a representative panel of Dutch households. The focus is on the Social Networks and Fertility Study that includes a subsample of women between the ages of 18‒40. Specific survey software was designed to capture each respondent’s personal network comprising 25 individuals with whom they had a relationship. In total, 758 women reported on over 18,750 relationships. For each person with whom the respondent had a relationship, several questions were asked about fertility-related topics. Uniquely, the connections between these people were also assessed. The R-package FertNet corrects data issues and transforms unstructured network data into alter-attribute and alter-tie datasets that can be handled by a diversity of network analytical approaches.
Contribution: The Social Networks and Fertility Study is a unique resource that allows for a comprehensive investigation of how networks shape fertility behaviour. It provides better estimates of network characteristics than earlier literature based on smaller networks. The R-package FertNet assists researchers in their analyses.
Author's Affiliation
- Gert Stulp - Rijksuniversiteit Groningen, the Netherlands EMAIL
Most recent similar articles in Demographic Research
Higher incomes are increasingly associated with higher fertility: Evidence from the Netherlands, 2008–2022
Volume 51 - Article 26
| Keywords:
fertility,
income,
inequalities,
Netherlands,
parenthood
The short- and long-term determinants of fertility in Uruguay
Volume 51 - Article 10
| Keywords:
fertility,
panel data,
stages of female reproductive life,
time series,
Uruguay
The big decline: Lowest-low fertility in Uruguay (2016–2021)
Volume 50 - Article 16
| Keywords:
adolescent fertility,
birth order,
fertility,
Latin America,
ultra-low fertility,
Uruguay
Cohort fertility of immigrants to Israel from the former Soviet Union
Volume 50 - Article 13
| Keywords:
age at first birth,
assimilation,
cohort analysis,
fertility,
immigration,
parity,
religiosity
Fertility decline, changes in age structure, and the potential for demographic dividends: A global analysis
Volume 50 - Article 9
| Keywords:
age structure,
demographic dividend,
demographic transition,
fertility,
migration,
population momentum,
working-age population
Cited References: 48
Download to Citation Manager
PubMed
Google Scholar