Children of Immigrants and Nonmarital Fertility in the United States
Maurice Anyawie
Additional contact information
Maurice Anyawie: Dornsife School of Public Health, Drexel University, USA
Migration Letters, 2022, vol. 19, issue 4, 449-473
Abstract:
There is vast research on the patterns and consequences of nonmarital fertility; but relatively little is known about how the patterns of nonmarital fertility vary according to the immigrant generational status of young adult Americans. This paper examines differences in the risk of experiencing a nonmarital first birth between children of immigrants and children of native-born Americans. Results from the longitudinal data and event history models show that children of immigrants are less likely to have a nonmarital first birth compared to children of native-born Americans. A range of demographic and mitigating factors drive these nonmarital fertility patterns but do not fully account for the differences. I provide possible explanations for children of immigrants’ lower risks of experiencing a nonmarital first birth. This study provides new insights into differentials into the family context faced by the next generation of Americans.
Keywords: Children of immigrants; nonmarital fertility; event history analysis; United States (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.tplondon.com/ml/article/view/1675/1874 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mig:journl:v:19:y:2022:i:4:p:449-473
Ordering information: This journal article can be ordered from
https://migrationletters.com/
DOI: 10.33182/ml.v19i4.1675
Access Statistics for this article
Migration Letters is currently edited by Kittisak Jermsittiparsert
More articles in Migration Letters from Migration Letters
Bibliographic data for series maintained by ML ().