IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v24y1992i9p1291-1302.html
   My bibliography  Save this article

Comparing Cross-Sectional and Longitudinal Analyses of Residential Mobility and Migration

Author

Listed:
  • W A V Clark

    (Department of Geography, University of California, Los Angeles, CA 90024, USA)

Abstract

A reevaluation of cross-sectional versus longitudinal models of residential mobility confirms the general results of earlier cross-sectional analysis and casts doubt on the study by Davies and Pickles in 1985 in which it was argued that cross-sectional analysis is inadequate and that cross-sectional analysis in behavioral geography “must be viewed with suspicion†. However, it is true that the results from models of time-series data reveal additional complexities not obvious in cross-sectional analysis of mobility and migration.

Suggested Citation

  • W A V Clark, 1992. "Comparing Cross-Sectional and Longitudinal Analyses of Residential Mobility and Migration," Environment and Planning A, , vol. 24(9), pages 1291-1302, September.
    • Handle: RePEc:sae:envira:v:24:y:1992:i:9:p:1291-1302
    DOI: 10.1068/a241291
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a241291
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a241291?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. Si-Ming Li, 2004. "Life Course and Residential Mobility in Beijing, China," Environment and Planning A, , vol. 36(1), pages 27-43, January.
    2. McClain, Verena & Waldorf, Brigitte, 2017. "Borrowing From The Demographer's Toolbox: Longitudinal Methods in Regional Science," Working papers 264970, Purdue University, Department of Agricultural Economics.
    3. Wen Jiang & Tao Feng & Harry JP Timmermans, 2020. "Non-linear asymmetric gap models of residential satisfaction: Formulation and empirical evidence," Environment and Planning B, , vol. 47(4), pages 569-589, May.
    4. Brigitte Waldorf, 2003. "Spatial Patterns and Processes in a Longitudinal Framework," International Regional Science Review, , vol. 26(3), pages 269-288, July.
    5. S Reader, 1993. "Unobserved Heterogeneity in Dynamic Discrete Choice Models," Environment and Planning A, , vol. 25(4), pages 495-519, April.
    6. Verena McClain & Brigitte S. Waldorf, 2021. "Longitudinal methods in regional science: a review," Journal of Geographical Systems, Springer, vol. 23(2), pages 145-160, 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:24:y:1992:i:9:p:1291-1302. 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.