Library Header Image
LSE Research Online LSE Library Services

Statistical disclosure risk: separating potential and harm

Skinner, Chris J. (2012) Statistical disclosure risk: separating potential and harm. International Statistical Review, 80 (3). pp. 349-368. ISSN 0306-7734

Full text not available from this repository.

Identification Number: 10.1111/j.1751-5823.2012.00194.x


Statistical agencies are keen to devise ways to provide research access to data while protecting confidentiality. Although methods of statistical disclosure risk assessment are now well established in the statistical science literature, the integration of these methods by agencies into a general scientific basis for their practice still proves difficult. This paper seeks to review and clarify the role of statistical science in the conceptual foundations of disclosure risk assessment in an agency's decision making. Disclosure risk is broken down into disclosure potential, a measure of the ability to achieve true disclosure, and disclosure harm. It is argued that statistical science is most suited to assessing the former. A framework for this assessment is presented. The paper argues that the intruder's decision making and behaviour may be separated from this framework, provided appropriate account is taken of the nature of potential intruder attacks in the definition of disclosure potential

Item Type: Article
Official URL:
Additional Information: © 2012 John Wiley
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 12 Dec 2012 17:04
Last Modified: 20 Oct 2021 01:59

Actions (login required)

View Item View Item