Affiliations: [a] United States Internal Revenue Service, Statistics of Income Division, PO Box 2608, Washington, DC, 20013-2608, USA | [b] American University, The Urban Institute and the United States Census Bureau, USA | [c] The United States Census Bureau, USA
Note: [1] Note: This paper reports the results of research and analysis, part of which was undertaken by Census Bureau staff. It has undergone a Census Bureau review more limited in scope than that given to official Census Bureau publications. This report is released to inform interested parties of ongoing research and to encourage discussion of work in progress. All views expressed
represent those of the authors, and not necessarily the institutions they represent.
Abstract: This paper provides an overview of research into public perceptions of confidentiality. Statistical agencies expend a great deal of time and resources to protect the data that they collect from unauthorized disclosure and identification of individual responses. However, data protection, by its very nature, involves either reducing data quality or limiting access to the very information that statistical agencies go to so much trouble and expense to collect. Many statistical agencies know little about an important input into the data protection decision: the degree to which their own respondents – both businesses and households – understand and believe that statistical agencies have, in fact, delivered on their confidentiality promises and how such perceptions affect their responses. This paper provides a brief survey of the selected knowledge in the area. Results for the United States suggest that much work needs to be done to further this knowledge, and the paper argues that research into perceptions should be institutionalised by statistical agencies and used to inform data protection decisions.
