IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v46y1992i1p33-48.html
   My bibliography  Save this article

Strategies for measuring risk in public use microdata files

Author

Listed:
  • B.V. Greenberg
  • L.V. Zayatz

Abstract

Statistical agencies have the responsibility to design data release strategies which will not violate pledges of nondisclosure either through intent or neglect. In addition to ethical and legal concerns, statistical offices must be mindful that violating pledges of confidentiality may undermine an agency's ability to collect data due to loss of public trust. Statistical organizations also have the obligation to make information available to a variety of individuals and institutions to allow for informed discussion from differing perspectives on a range of issues. However, it is through fine, accurate detail on a file that risks of disclosure arise. In this report we discuss strategies for controlling risk in the release of public use microdata files. The equivalence class structure of a microdata file is defined and we show how the classic entropy function can be employed on the equivalence class structure to provide a measure of relative risk.

Suggested Citation

  • B.V. Greenberg & L.V. Zayatz, 1992. "Strategies for measuring risk in public use microdata files," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 46(1), pages 33-48, March.
    • Handle: RePEc:bla:stanee:v:46:y:1992:i:1:p:33-48
    DOI: 10.1111/j.1467-9574.1992.tb01325.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.1992.tb01325.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9574.1992.tb01325.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. Beverley Causey, 2002. "Parametric estimation of the number of classes in a population," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(6), pages 925-934.
    2. Walter Mãœller & Uwe Blien & Heike Wirth, 1995. "Identification Risks of Microdata," Sociological Methods & Research, , vol. 24(2), pages 131-157, November.

    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:33-48. 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.