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Migration and regional wages.

E M Falaris

    Southern Economic Journal
    |January 1, 1982
    PubMed
    Summary
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    This study refines U.S. interregional migration models using wage data and human capital theory. Restricting wage variability improves microdata estimates for migration choices.

    Area of Science:

    • Economics
    • Human Capital Theory
    • Migration Studies

    Background:

    • Existing U.S. interregional migration models have limitations in utilizing wage data.
    • Previous studies have not fully integrated human capital theory with wage data for migration analysis.

    Purpose of the Study:

    • To introduce a novel method for incorporating wage data into U.S. interregional migration models.
    • To enhance the application of human capital theory in migration research.
    • To improve the accuracy of migration model estimates using microdata.

    Main Methods:

    • Developed a new method for using wage data in U.S. interregional migration models.
    • Applied restrictions to the variability of real predicted individual regional wages.
    • Utilized a multiple choice conditional logit model for migration analysis.
    Keywords:
    AmericasBehaviorCost Benefit AnalysisDecision MakingDemographic FactorsDeveloped CountriesEconomic FactorsGeographic FactorsMacroeconomic FactorsMigrationMigration, InternalModels, TheoreticalNorth AmericaNorthern AmericaPopulationPopulation DynamicsProbabilityResearch MethodologyUnited StatesWages--changes

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  • Employed two U.S. microdata sets for model estimation.

    • Main Results:

    • The proposed method, by restricting wage variability, yields more satisfactory estimates.
    • The enhanced model provides better utilization of human capital theory compared to prior studies.
    • The conditional logit model effectively analyzes migration as a choice among four U.S. census regions.

    Conclusions:

    • The new method offers a more robust approach to modeling U.S. interregional migration.
    • Integrating human capital theory with restricted wage variability improves migration predictions.
    • Microdata analysis with the proposed method enhances understanding of regional migration patterns.