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A zero-inflated Poisson model of migration frequency.

A K Bohara, R G Krieg

    International Regional Science Review
    |January 1, 1996
    PubMed
    Summary
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    Migration frequency is best modeled using a zero-inflated Poisson process, which improves prediction accuracy. Frequent movers are often white, nonunionized individuals with fewer children and less stable marriages.

    Area of Science:

    • Sociology
    • Economics
    • Statistical Modeling

    Background:

    • Modeling migration frequency presents challenges due to a high prevalence of nonmigrants (zeros).
    • Traditional models may produce biased coefficients and poor predictions when applied to migration data.

    Purpose of the Study:

    • To identify the most effective statistical model for analyzing migration frequency.
    • To assess the predictive performance of a zero-inflated Poisson process for migration behavior.

    Main Methods:

    • Utilized data from the U.S. Panel Study of Income Dynamics (1977-1987).
    • Applied a zero-inflated Poisson regression model to account for excess zeros in migration data.
    • Compared model performance against traditional methods.
    Keywords:
    AmericasCultural BackgroundDemographic FactorsDeveloped CountriesEthnic GroupsFamily And HouseholdFamily CharacteristicsFamily SizeMigrantsMigrationModels, TheoreticalNonmigrantsNorth AmericaNorthern AmericaPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologyTemporary MigrationUnited StatesWhites

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    Main Results:

    • The zero-inflated Poisson process significantly enhances the accuracy of migration prediction.
    • Frequent movers were identified as white, nonunionized individuals with fewer children and less stable marriages.
    • Frequent occupational changes were also associated with higher migration frequency.

    Conclusions:

    • A zero-inflated Poisson model is superior for analyzing migration frequency data with many nonmigrants.
    • Understanding the characteristics of frequent movers can inform social and economic policies.
    • The study highlights the importance of appropriate statistical methods in migration research.