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美国的美国. 生命过程中的生育背景:关于使用人口普查相关行政记录进行地理和社会人口统计子组估计的研究笔记
Leslie Root1, Amanda Jean Stevenson2, Katie Genadek3,1
1Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA.
Demography
|March 20, 2024
概括
新人口普查数据 (CLAR-FE) 允许研究人员根据州和种族对美国各地的生育率进行研究,将生命过程细节与地理背景相结合,以获得全面的观点.
科学领域:
- 人口统计学 人口统计学
- 社会学 社会学 社会学
- 公共卫生 公共卫生
背景情况:
- 美国的生育研究往往面临着使用国家面板数据和使用率表的次国家背景的生命过程观点之间的权衡.
- 现有的数据源缺乏将详细的生命历程状态与颗粒状的地理和社会人口统计信息相结合的能力.
研究的目的:
- 引入一种新的方法和数据源,人口普查对生育率估计的相关行政记录 (CLAR-FE),用于全面的生育率分析.
- 为了使生育率在国家和次国家层面的研究,结合生命过程状态,如平价.
- 根据州,种族,种族,年龄和生育率提供详细的生育率.
主要方法:
- 利用美国人口普查局持有的链接行政记录来得出生育史和率表.
- 开发了人口普查相关行政记录用于生育率估计 (CLAR-FE) 方法.
- 从2000年到2020年生成的特定年龄,无条件和有条件的平价以及特定年龄的生育率.
主要成果:
- CLAR-FE为整个美国人口提供生育率,可在全国和各州获得.
- 这些数据允许根据种族,种族,年龄和平等性分析生育率,揭示子组异质性.
- 新的费率表突出了国家和种族/种族在过渡到父母身份的显著差异.
结论:
- CLAR-FE提供了一种强大,综合的方法来研究美国的生育动态.
- 该方法克服了以前的局限性,将生命历程信息与次国家和社会人口统计细节相结合.
- 这个资源阐明了生育率的关键子组差异,增强了我们对人口动态的理解.
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