IDEAS home Printed from https://ideas.repec.org/p/uwe/wpaper/20121209.html
   My bibliography  Save this paper

Output-based disclosure control for regressions

Author

Listed:
  • Felix Richie

    () (University of the West of England, Bristol)

Abstract

Many recent developments in social science research, especially economics, have arisen from the increased availability of confidential government microdata, often in controlled environments. Output-based statistical disclosure control is increasingly important for making effective use of this resource. A central topic is whether the most common analytical tool, multiple regression, is ‘safe’ for release. This is a relatively unexplored field: only a handful of papers have been produced over the last decade and the main reference for practitioners is an unreviewed internal document. This paper analyses the disclosure risks of linear regressions, and demonstrates that, even in the best-case scenario for an intruder, regression results are fundamentally non-disclosive and so come within the class of ‘safe statistics’. It shows that conflicting results in papers reflect institutional perceptions, not statistical matters. It notes that simple rules can both guarantee confidentiality and provide measures of the best approximation to confidential data. It discusses a number of statistical concerns that are shown to be misguided. Finally, it summarises these results to produce formal guidelines for data owners managing controlled environments.

Suggested Citation

  • Felix Richie, 2012. "Output-based disclosure control for regressions," Working Papers 20121209, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
  • Handle: RePEc:uwe:wpaper:20121209
    as

    Download full text from publisher

    File URL: http://www2.uwe.ac.uk/faculties/BBS/BUS/Research/economics2012/1209.pdf
    Download Restriction: no

    More about this item

    Keywords

    Statistical disclosure control; principles-based; safe statistics; controlled environments; regression;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

    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:uwe:wpaper:20121209. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Felix Ritchie). General contact details of provider: http://edirc.repec.org/data/seuweuk.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.