IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v154y1991i2p305-340.html
   My bibliography  Save this article

The Case for Samples of Anonymized Records from the 1991 Census

Author

Listed:
  • Catherine Marsh
  • Chris Skinner
  • Sara Arber
  • Bruce Penhale
  • Stan Openshaw
  • John Hobcraft
  • Denise Lievesley
  • Nigel Walford

Abstract

The census of population represents a rich source of social data. Other countries have released samples of anonymized records from their censuses to the research community for secondary analysis. So far this has not been done in Britain. The areas of research which might be expected to benefit from such microdata are outlined, and support is drawn from considering experience overseas. However, it is essential to protect the confidentiality of the data. The paper therefore considers the risks, both real and perceived, of identification of individuals from census microdata. The conclusion of the paper is that the potential benefits from census microdata are large and that the risks in terms of disclosure are very small. The authors therefore argue that the Office of Population Censuses and Surveys and the General Register Office of Scotland should release samples of anonymized records from the 1991 census for secondary analysis.

Suggested Citation

  • Catherine Marsh & Chris Skinner & Sara Arber & Bruce Penhale & Stan Openshaw & John Hobcraft & Denise Lievesley & Nigel Walford, 1991. "The Case for Samples of Anonymized Records from the 1991 Census," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(2), pages 305-340, March.
  • Handle: RePEc:bla:jorssa:v:154:y:1991:i:2:p:305-340
    DOI: 10.2307/2983043
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2983043
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2983043?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. C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212, January.
    2. Bender, Stefan & Hilzendegen, Jürgen, 1995. "Die IAB-Beschäftigtenstrichprobe als scientific use file," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 28(1), pages 76-95.
    3. Walter Mãœller & Uwe Blien & Heike Wirth, 1995. "Identification Risks of Microdata," Sociological Methods & Research, , vol. 24(2), pages 131-157, November.
    4. Bender, Stefan & Hilzendegen, Jürgen, 1995. "Die IAB-Beschäftigtenstrichprobe als scientific use file," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 28(1), pages 76-95.
    5. Bender, Stefan & Hilzendegen, Jürgen, 1995. "Die IAB-Beschäftigtenstrichprobe als scientific use file," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 28(1), pages 76-95.
    6. D Martin & M L Senior & H C W L Williams, 1994. "On Measures of Deprivation and the Spatial Allocation of Resources for Primary Health Care," Environment and Planning A, , vol. 26(12), pages 1911-1929, December.
    7. C. J. Skinner & M. J. Elliot, 2002. "A measure of disclosure risk for microdata," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 855-867, October.
    8. Skinner, Chris J., 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," LSE Research Online Documents on Economics 39105, London School of Economics and Political Science, LSE Library.

    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:bla:jorssa:v:154:y:1991:i:2:p:305-340. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.