IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v46y1992i1p21-32.html
   My bibliography  Save this article

On identification disclosure and prediction disclosure for microdata

Author

Listed:
  • C.J. Skinner

Abstract

Two definitions of statistical disclosure ‐ identification disclosure and prediction disclosure ‐ are compared. Identification disclosure implies prediction disclosure but not vice versa. It is argued, however, that if sampling takes place then cases where prediction disclosure occurs and identification disclosure does not either have very small probability or do not present disclosure problems different from those normally met in the release of aggregate statistics. Finally the estimation of population uniqueness using the Poisson‐Gamma model is considered.

Suggested Citation

  • C.J. Skinner, 1992. "On identification disclosure and prediction disclosure for microdata," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 46(1), pages 21-32, March.
  • Handle: RePEc:bla:stanee:v:46:y:1992:i:1:p:21-32
    DOI: 10.1111/j.1467-9574.1992.tb01324.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.1992.tb01324.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-9574.1992.tb01324.x?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. Walter Mãœller & Uwe Blien & Heike Wirth, 1995. "Identification Risks of Microdata," Sociological Methods & Research, , vol. 24(2), pages 131-157, November.
    2. Nigel Melville & Michael McQuaid, 2012. "Research Note ---Generating Shareable Statistical Databases for Business Value: Multiple Imputation with Multimodal Perturbation," Information Systems Research, INFORMS, vol. 23(2), pages 559-574, June.
    3. Shlomo, Natalie & Skinner, Chris, 2022. "Measuring risk of re-identification in microdata: state-of-the art and new directions," LSE Research Online Documents on Economics 117168, London School of Economics and Political Science, LSE Library.
    4. James Jackson & Robin Mitra & Brian Francis & Iain Dove, 2022. "Using saturated count models for user‐friendly synthesis of large confidential administrative databases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1613-1643, October.
    5. Natalie Shlomo & Chris Skinner, 2022. "Measuring risk of re‐identification in microdata: State‐of‐the art and new directions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1644-1662, October.

    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:stanee:v:46:y:1992:i:1:p:21-32. 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: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    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.