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Spatial Patterns and Determinants of Inter-county Migration in California: A Multilevel Gravity Model Approach
1Demographic Research Unit, California Department of Finance, Sacramento, CA USA.
Population Research and Policy Review
|May 2, 2023
Summary
California migration patterns reveal that populous counties in Southern California and the Bay Area are key origins and destinations. Despite declining intra-state movement, factors like population size, proximity, and job availability significantly influence migration flows.
Area of Science:
- Demography
- Human Geography
- Spatial Analysis
Background:
- Understanding population dynamics is vital for policy and resource management.
- Residential mobility data offers insights into migration patterns.
- Inter-county migration analysis is crucial for regional planning.
Purpose of the Study:
- To conduct a spatiotemporal analysis of inter-county migration in California (2014-2021).
- To examine the determinants of migration flows using multilevel gravity models.
- To identify push and pull factors influencing migration decisions.
Main Methods:
- Utilized residential mobility data from the Department of Motor Vehicles.
- Applied multilevel gravity models to account for data hierarchy and shared migration influences.
- Analyzed migration flows based on origin, destination, and regional characteristics.
Main Results:
- Southern California and the San Francisco Bay Area are major migration hubs.
- Migration is significantly correlated with population size, geographic proximity, and job availability.
- Industrial composition similarity between counties also impacts migration.
- Counties exhibit greater variability in attracting migrants than in sending them.
Conclusions:
- Multilevel modeling effectively identifies place-specific migration influences.
- The study enhances the accuracy of migration estimations.
- Findings provide valuable insights for policymakers on population distribution and resource allocation.
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