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Family Matters: Development of new family interrelationship variables for US IPUMS data projects
Marina Mileo Gorsuch1, Kari Charlotte Wigness Williams2
1St. Catherine University, Economics and Political Science, 101 Whitby Hall, 2004 Randolph Ave., St. Paul, MN 55105.
Journal of Economic and Social Measurement
|May 28, 2021
Summary
Researchers developed a new method to accurately identify family relationships in demographic data, including same-sex couples. This improves understanding of household structures and fertility patterns.
Area of Science:
- Demography
- Sociology
- Family Studies
Background:
- Accurate identification of household relationships is crucial for demographic research.
- Existing methods may not fully capture diverse family structures, such as cohabiting or same-sex couples.
Purpose of the Study:
- To develop and validate a novel method for estimating parental and spousal relationships in demographic datasets.
- To enhance family interrelationship variables for inclusivity of diverse family types and comparability across data projects.
Main Methods:
- Utilized fertility patterns and family interrelationships data.
- Developed a new inference method with detailed ambiguity indicators.
- Validated against self-reported relationships in US IPUMS data.
Main Results:
- Achieved high accuracy: 99.99% for spouse/partner and over 99.00% for parent.
- 100% match for same-sex couples, with 87.57% self-identifying as LGBTQ+.
- Variables accurately track temporal variations in teenage fertility.
Conclusions:
- The new IPUMS family interrelationship variables offer a highly accurate and inclusive method for demographic analysis.
- The method enhances the study of family structures, including same-sex and cohabiting relationships.
- These variables provide a robust tool for analyzing fertility trends and family dynamics.
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