IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v14y1982i4p477-497.html
   My bibliography  Save this article

Models for the Analysis of Interregional Migration

Author

Listed:
  • A G Constantine

    (Division of Mathematics and Statistics, CSIRO, Glen Osmond, Adelaide, Australia)

  • J C Gower

    (Department of Statistics, Rothamsted Experimental Station, Harpenden, Herts AL5 2JQ, England)

Abstract

Asymmetric square tables, such as those arising from interregional migration, can be analysed by separating the skew-symmetric and symmetric components. A least-squares analysis of the skew-symmetric part can indicate the degree of complexity of model that is consistent with data and this can be combined with some suitable model for the symmetric part. The joint model may then be fitted by maximum likelihood based on suitable distributional assumptions. This approach is used for an analysis of Australian interstate migration for 1960–1966 and indicates a model with independent in-migration and out-migration rates proportional to a symmetric function of population sizes and interstate distance. Problems of identiflability of parameters are especially interesting and relevant to the formulation of models in this field. There is strong support for a modified gravity model, and some evidence that the out-migration rate is constant for most states.

Suggested Citation

  • A G Constantine & J C Gower, 1982. "Models for the Analysis of Interregional Migration," Environment and Planning A, , vol. 14(4), pages 477-497, April.
    • Handle: RePEc:sae:envira:v:14:y:1982:i:4:p:477-497
    DOI: 10.1068/a140477
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a140477
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a140477?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Justin L. Kern, 2017. "On the Correspondence Between Procrustes Analysis and Bidimensional Regression," Journal of Classification, Springer;The Classification Society, vol. 34(1), pages 35-48, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:14:y:1982:i:4:p:477-497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.