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Related Experiment Videos

Models for the analysis of interregional migration.

A G Constantine, J C Gower

    Environment & Planning A
    |April 1, 1982
    PubMed
    Summary

    This study introduces a novel method for analyzing asymmetric migration data by separating symmetric and skew-symmetric components. The approach reveals migration rates are influenced by population size and distance.

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    Area of Science:

    • Statistics
    • Demography
    • Spatial Analysis

    Background:

    • Asymmetric square tables, common in interregional migration, pose analytical challenges.
    • Traditional methods may not fully capture the complexities of migration flows.

    Purpose of the Study:

    • To develop and apply a statistical framework for analyzing asymmetric migration data.
    • To model Australian interstate migration patterns using a novel decomposition approach.

    Main Methods:

    • Decomposition of asymmetric tables into skew-symmetric and symmetric components.
    • Least-squares analysis of the skew-symmetric part to determine model complexity.
    • Maximum likelihood estimation for fitting a joint model with distributional assumptions.
    Keywords:
    AustraliaDemographic FactorsDeveloped CountriesDistanceMathematical ModelMigrationMigration, InternalModels, TheoreticalOceaniaPopulationPopulation DynamicsPopulation SizeResearch Methodology

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    Main Results:

    • The analysis successfully modeled Australian interstate migration for 1960-1966.
    • In-migration and out-migration rates were found to be proportional to a symmetric function of population size and interstate distance.
    • Independent migration rates were identified as a key factor.

    Conclusions:

    • The proposed method provides a robust framework for analyzing complex migration data.
    • Understanding the symmetric and skew-symmetric components offers deeper insights into migration dynamics.
    • The findings highlight the influence of population size and distance on migration patterns.