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U.S. Fertility in Life Course Context: A Research Note on Using Census-Held Linked Administrative Records for
Leslie Root1, Amanda Jean Stevenson2, Katie Genadek3,1
1Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA.
Demography
|March 20, 2024
Summary
New Census data (CLAR-FE) allows researchers to study fertility across the U.S. by state and race, combining life course details with geographic context for a comprehensive view.
Area of Science:
- Demography
- Sociology
- Public Health
Background:
- Fertility studies in the U.S. often face a trade-off between life course perspectives using national panel data and subnational context using rate schedules.
- Existing data sources lack the ability to integrate detailed life course statuses with granular geographic and sociodemographic information.
Purpose of the Study:
- To introduce a novel method and data source, Census-Held Linked Administrative Records for Fertility Estimation (CLAR-FE), for comprehensive fertility analysis.
- To enable the study of fertility at both national and subnational levels, incorporating life course statuses like parity.
- To provide detailed fertility rates by state, race, ethnicity, age, and parity.
Main Methods:
- Utilized U.S. Census Bureau-held linked administrative records to derive fertility histories and rate schedules.
- Developed the Census-Held Linked Administrative Records for Fertility Estimation (CLAR-FE) method.
- Generated age-specific, and unconditional and conditional parity- and age-specific fertility rates from 2000-2020.
Main Results:
- CLAR-FE provides fertility rates for the entire U.S. population, available nationally and by state.
- The data allows for analysis of fertility by race, ethnicity, age, and parity, revealing subgroup heterogeneity.
- New rate schedules highlight significant state and racial/ethnic differences in transitions to parenthood.
Conclusions:
- CLAR-FE offers a powerful, integrated approach to studying fertility dynamics in the United States.
- The method overcomes previous limitations by combining life course information with subnational and sociodemographic detail.
- This resource illuminates critical subgroup differences in fertility, enhancing our understanding of population dynamics.
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