Internal migration and the de-standardization of the life course: A sequence analysis of reasons for migrating

Aude Bernard; Sunganani Kalemba

doi:10.4054/DemRes.2022.46.12

Volume 46 - Article 12 | Pages 337–354

Internal migration and the de-standardization of the life course: A sequence analysis of reasons for migrating

By Aude Bernard, Sunganani Kalemba

Date received:

10 May 2021

Date published:

2 Mar 2022

Word count:

2548

Keywords:

Australia, Household Income and Labour Dynamics in Australia (HILDA), internal migration, life course, sequence analysis

DOI:

10.4054/DemRes.2022.46.12

Replicable Material:

demographic-research.46-12 (zip file, 3 kB)
readme.46-12 (text file, 3 kB)

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Abstract

Background: The life-course perspective has become one of the main paradigms in migration research, providing a rich and fruitful framework for understanding migration behavior. Despite a large literature on the association between internal migration and life-course transitions, little effort has been made to understand the impact of increasing diversity in the life-course trajectory of young adults on heterogeneity in migration behavior.

Objective: To address this gap, this paper seeks to establish intra- and inter-cohort variation in the occurrence, order, and timing of reasons for migrating among young adults.

Methods: We apply sequence and cluster analysis to self-reported reasons for migrating collected from 2002 to 2019 as part of the Household Income and Labour Dynamics in Australia (HILDA) survey and follow two cohorts of young adults born between 1982–1984 and 1990–1992 over 10 years. We distinguish between education, employment, family, housing, amenity, lifestyle, and health migration.

Results: Sequence analysis reveals diversity in individual migration trajectories, shaped by the number and timing of migrations and the type of reason. Intra-cohort variation is manifested by the delineation of five distinct migration clusters, while inter-cohort change is most visible in the growing share of young adults that follow diverse and delayed migration trajectories.

Conclusions: Sequence analysis is a promising tool to advance understanding of migration behavior, which can now find greater usage thanks to the maturation of longitudinal surveys.

Contribution: Analyzing migration histories over a sustained period reveals greater heterogeneity in migration behavior than focusing on single migration events. This reinforces the importance of conceptualizing and analyzing migration as a life-course trajectory that unfolds over time.