Publication type
Journal Article
Authors
Publication date
February 22, 2023
Summary:
Background: Previous work identifies conservative family behaviour amongst Pakistanis in the United Kingdom relative to natives, including earlier marriages, fewer dissolutions, and higher fertility. However, few studies have investigated how fertility and partnership are intertwined and interdependent.
Objective: Our aims are, first, to identify differences between the family trajectories of Pakistanis and natives and, second, to determine if patterns are consistent across immigrant generations. Finally, we aim to identify how family trajectories vary across birth cohorts and education levels.
Methods: We apply multichannel sequence analysis (MCSA) to data from the UK Household Longitudinal Study. We first use clustering methods to group similar individuals and then apply multinomial logistic regression to calculate the probability of belonging to a cluster based on individual characteristics.
Results: The Pakistani population exhibits a higher likelihood of entering a direct marriage and having large families compared to natives. Cohabitation is rare amongst Pakistani population. These patterns have changed little between immigrant generations. Degree-level education is associated with a higher likelihood of adopting behaviours typical to ancestral natives; however, the effects are not large enough to indicate convergence.
Contribution: We demonstrate the need to investigate partnership and fertility trajectories simultaneously and show the value of MCSA for identifying differences between migrant groups. The results improve our understanding of family formation patterns of Pakistani immigrants and their descendants in the United Kingdom
Published in
Demographic Research
Volume and page numbers
Volume: 48 , p.271 -320
DOI
https://doi.org/10.4054/DemRes.2023.48.10
ISSN
14359871
Subjects
Notes
© 2023 Joseph Harrison et al.
Open Access
This open-access work is published under the terms of the Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE), which permits use, reproduction, and distribution in any medium, provided the original author(s) and source are given credit. See https://creativecommons.org/licenses/by/3.0/de/legalcode.
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