U.S. Fertility in Life Course Context: A Research Note on Using Census-Held Linked Administrative Records for Geographic and Sociodemographic Subgroup Estimation

Author:

Root Leslie1ORCID,Stevenson Amanda Jean2ORCID,Genadek Katie31ORCID,Yeatman Sara4ORCID,Mollborn Stefanie51ORCID,Menken Jane1ORCID

Affiliation:

1. Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA

2. Department of Sociology and Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA

3. U.S. Census Bureau, Suitland, MD, USA

4. Department of Health and Behavioral Sciences, University of Colorado Denver, Denver, CO, USA

5. Department of Sociology, Stockholm University, Stockholm, Sweden

Abstract

Abstract Fertility is a life course process that is strongly shaped by geographic and sociodemographic subgroup contexts. In the United States, scholars face a choice: they can situate fertility in a life course perspective using panel data, which is typically representative only at the national level; or they can attend to subnational contexts using rate schedules, which do not include information on life course statuses. The method and data source we introduce here, Census-Held Linked Administrative Records for Fertility Estimation (CLAR-FE), permits both. It derives fertility histories and rate schedules from U.S. Census Bureau–held data for the nation and by state, racial and ethnic subgroups, and the important life course status of parity. We generate three types of rates for 2000–2020 at the national and state levels by race and ethnicity: age-specific rates and both unconditional and conditional parity- and age-specific rates. Where possible, we compare these rates with those produced by the National Center for Health Statistics. Our new rate schedules illuminate state and racial and ethnic differences in transitions to parenthood, providing evidence of the important subgroup heterogeneity that characterizes the United States. CLAR-FE covers nearly the entire U.S. population and is available to researchers on approved projects through the Census Bureau's Federal Statistical Research Data Centers.

Publisher

Duke University Press

Reference29 articles.

1. Centers for Disease Control and Prevention. (2020). Natality [CDC WONDER Online Database]. Hyattsville, MD: National Center for Health Statistics, National Vital Statistics System. Available from https://wonder.cdc.gov/wonder/help/natality.html

2. Ancestral ambivalence and racial self-classification change;Craemer;Social Science Journal,2010

3. Edwards F. , WakefieldS., HealyK., & WildemanC. (2021). Contact with child protective services is pervasive but unequally distributed by race and ethnicity in large U.S. counties. Proceedings of the National Academy of Sciences, 118, e2106272118. https://doi.org/10.1073/pnas.2106272118

4. Racial identities in 2000: The response to the multiple-race response option;Farley,2011

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3