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Projecting interregional migration balances within a multiregional cohort-component framework.

T Werschler, F Nault

    Environment & Planning A
    |May 1, 1996
    PubMed
    Summary

    This study reviews multiregional population projection methods. It proposes an alternative approach for projecting interregional migration in Canada, addressing limitations of conventional techniques.

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    Area of Science:

    • Demography
    • Population Studies
    • Spatial Analysis

    Background:

    • Multiregional population projections are crucial for understanding demographic shifts.
    • Existing methods for projecting interregional migration in Canada have limitations.
    • Foundational theories of multiregional population projections require examination.

    Purpose of the Study:

    • To review the theory and practice of multiregional population projections.
    • To identify challenges in projecting interregional migration within Canada.
    • To propose an improved method for projecting interregional migration.

    Main Methods:

    • Review of foundational theory in multiregional population projections.
    • Analysis of requirements for Canadian multiregional population projections.
    Keywords:
    AmericasCanadaDemographic FactorsDeveloped CountriesEstimation TechnicsMethodological StudiesMigrationMigration, InternalNorth AmericaNorthern AmericaPopulationPopulation DynamicsPopulation ProjectionResearch Methodology

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  • Development of an alternative method for interregional migration projection.

    • Main Results:

    • Conventional methods for projecting interregional migration in Canada yield unsatisfactory results.
    • The study identifies specific shortcomings in current projection approaches.
    • An alternative methodology is presented for more accurate projections.

    Conclusions:

    • There is a need for enhanced methods in multiregional population projection.
    • The proposed alternative method offers a more effective approach to interregional migration forecasting.
    • This research contributes to more robust population projection models for Canada.