IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v37y2005i1p141-159.html
   My bibliography  Save this article

Robust Point-Pattern Inference from Spatially Censored Data

Author

Listed:
  • Stuart H Sweeney
  • Kevin J Konty

Abstract

Administrative data sources are increasingly being used for spatial analysis and policy formation. For example, ‘welfare to work’ programs have stimulated demand for spatial mismatch studies in which ES-202 employment files are used. The increased resolution gained by geocoding the address records in administrative files can be of enormous research value when the process under study resolves over small distances. Yet the resulting point-referenced data are problematic for inferential analysis. In particular, administrative data typically represent a sample of convenience, thus posing serious validity problems for statistical inference. The authors propose a robust estimation method for spatial pattern inference based on spatially censored data. The performance of the estimator is explored with the aid of simulated data and is also demonstrated with ES-202 data from North Carolina.

Suggested Citation

  • Stuart H Sweeney & Kevin J Konty, 2005. "Robust Point-Pattern Inference from Spatially Censored Data," Environment and Planning A, , vol. 37(1), pages 141-159, January.
    • Handle: RePEc:sae:envira:v:37:y:2005:i:1:p:141-159
    DOI: 10.1068/a35318
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a35318
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a35318?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. Edward Feser & Stuart H. Sweeney, 2006. "On the State of the Geography in the U.S. Bureau of Labor Statistics Covered Wages and Employment (ES-202) Series," International Regional Science Review, , vol. 29(3), pages 247-263, July.

    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:37:y:2005:i:1:p:141-159. 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.