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Labor Migration Amongst Hierarchically Competing and Intervening Origins and Destinations

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  • T J Fik
  • R G Amey
  • G F Mulligan

    (Department of Geography and Regional Development, University of Arizona, Tucson, AZ 85721, USA)

Abstract

A spatial interaction methodology is developed for modeling flows in a hierarchical system. A competing and intervening destinations framework is employed to model and predict US state-to-state labor migration. This analysis is used to assess the importance of geographic variables in explaining variations in regional labor flows. Empirical findings suggest that US labor migration is largely explained by Newtonian and systemic forces—size, distance, locational accessibility, and intervening opportunities in a spatial hierarchy. It is also suggested that lagged migration or migrant stock is a product of the combined effect of these forces.

Suggested Citation

  • T J Fik & R G Amey & G F Mulligan, 1992. "Labor Migration Amongst Hierarchically Competing and Intervening Origins and Destinations," Environment and Planning A, , vol. 24(9), pages 1271-1290, September.
    • Handle: RePEc:sae:envira:v:24:y:1992:i:9:p:1271-1290
    DOI: 10.1068/a241271
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Oshan, Taylor M., 2020. "The spatial structure debate in spatial interaction modeling: 50 years on," OSF Preprints 42vxn, Center for Open Science.
    2. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.
    3. Jean-Michel Guldmann, 1998. "Competing destinations and intervening opportunities interaction models of inter-city telecommunication flows," ERSA conference papers ersa98p120, European Regional Science Association.
    4. Jan Ubøe, 2004. "Aggregation of Gravity Models for Journeys to Work," Environment and Planning A, , vol. 36(4), pages 715-729, April.
    5. Jens P Gitlesen & Inge Thorsen, 2000. "A Competing Destinations Approach to Modeling Commuting Flows: A Theoretical Interpretation and An Empirical Application of the Model," Environment and Planning A, , vol. 32(11), pages 2057-2074, November.
    6. Jens Petter Gitlesen & Inge Thorsen & Jan Ubøe, 2004. "Misspecifications in modelling journeys to work," ERSA conference papers ersa04p420, European Regional Science Association.
    7. Gitlesen, Jens Petter & Thorsen, Inge & Ubøe, Jan, 2004. "Misspecifications due to aggregation of data in models for journeys-to-work," Discussion Papers 2004/13, Norwegian School of Economics, Department of Business and Management Science.
    8. P A Pellegrini & A S Fotheringham, 1999. "Intermetropolitan Migration and Hierarchical Destination Choice: A Disaggregate Analysis from the US Public Use Microdata Samples," Environment and Planning A, , vol. 31(6), pages 1093-1118, June.
    9. E. Lance Howe & Lee Huskey & Matthew D. Berman, 2011. "Migration in Arctic Alaska: Empirical Evidence of the Stepping Stones Hypothesis," Working Papers 2011-03, University of Alaska Anchorage, Department of Economics.
    10. T J Fik & G F Mulligan, 1998. "Functional Form and Spatial Interaction Models," Environment and Planning A, , vol. 30(8), pages 1497-1507, August.

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