<p>This study analyzes interregional migration patterns associated with eight different non-overlapping life course events. Count-data regression models are applied to analyze the response of migration flows across life-event group to meso-regional push and pull factors, and results are used for migration profiling and as input for regional policy and planning. While interregional migration flow data related to life-events are generally not publicly available from statistical offices, we present a way to construct origin–destination migration flow matrices from Danish register data on migration, economic and social events at the household level. Our findings corroborate theoretical model predictions and prior evidence that migration across life-event groups responds heterogeneously to regional labor market conditions, with interregional migrants in the transition from job-qualifying education to work responding most strongly to local economic signals. Over the life cycle, interregional migration after family transitions such as forming a legally recognized partnership, childbearing, and the “empty nest” phase are comparably stronger influenced by regional housing market conditions, local population structures and public service provision or place-based amenities. We also show that estimates for mixed migration groups experiencing multiple simultaneous events typically fail to detect associations between migration and regional context conditions, which highlights the methodological advantage of utilizing non-overlapping event group migration data for theory testing, demographic modeling and informing regional policies.</p>

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The moving parts of life: a meso-level analysis of interregional migration patterns after life course events

  • Torben Dall Schmidt,
  • Timo Mitze,
  • Jens Clausen,
  • Bjarne Madsen

摘要

This study analyzes interregional migration patterns associated with eight different non-overlapping life course events. Count-data regression models are applied to analyze the response of migration flows across life-event group to meso-regional push and pull factors, and results are used for migration profiling and as input for regional policy and planning. While interregional migration flow data related to life-events are generally not publicly available from statistical offices, we present a way to construct origin–destination migration flow matrices from Danish register data on migration, economic and social events at the household level. Our findings corroborate theoretical model predictions and prior evidence that migration across life-event groups responds heterogeneously to regional labor market conditions, with interregional migrants in the transition from job-qualifying education to work responding most strongly to local economic signals. Over the life cycle, interregional migration after family transitions such as forming a legally recognized partnership, childbearing, and the “empty nest” phase are comparably stronger influenced by regional housing market conditions, local population structures and public service provision or place-based amenities. We also show that estimates for mixed migration groups experiencing multiple simultaneous events typically fail to detect associations between migration and regional context conditions, which highlights the methodological advantage of utilizing non-overlapping event group migration data for theory testing, demographic modeling and informing regional policies.