Multiregional Migration Projection
Multiregional migration projection extends the classic cohort-component method from a single closed population to a system of several regions that exchange migrants. Developed principally by Andrei Rogers in his 1975 Introduction to Multiregional Mathematical Demography, it replaces the ordinary Leslie matrix with a generalized growth matrix whose blocks carry not only survival and fertility within each region but also the age-specific probabilities of moving from every region to every other. Advancing a stacked population vector — population by age for each region — through repeated multiplication by this matrix projects all regions simultaneously and consistently, so that an out-migrant from one region becomes an in-migrant somewhere else and the system stays closed. The same matrix yields multistate life-table quantities such as expected lifetime spent in each region and the long-run stable spatial distribution of the population. Because the method demands smooth age-specific migration inputs, it is usually paired with Rogers-Castro model schedules, and the comparative findings of Rogers and Willekens's 1986 Migration and Settlement project established it as the standard apparatus of formal spatial demography.
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Sources
- Rogers, A. (1975). Introduction to Multiregional Mathematical Demography. John Wiley & Sons, New York. ISBN: 9780471729945
- Rogers, A., & Willekens, F. J. (Eds.). (1986). Migration and Settlement: A Multiregional Comparative Study. D. Reidel, Dordrecht. ISBN: 9789027721570
- Rogers, A., & Castro, L. J. (1981). Model Migration Schedules. IIASA Research Report RR-81-30. link ↗
Comment citer cette page
ScholarGate. (2026, June 23). Multiregional Population Projection with Migration. ScholarGate. https://scholargate.app/fr/migration-studies/multiregional-migration-projection
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- Internal Migration Intensity IndexMigration Studies↔ comparer
- Migration Flow Estimation from StocksMigration Studies↔ comparer
- Rogers-Castro Migration ScheduleMigration Studies↔ comparer
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