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Activity Number:
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71
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #305258 |
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Title:
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Toward Quantifying Disclosure Risk for Area-Level Tables When Public Microdata Exists
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Author(s):
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Tom Krenzke*+ and David Hubble
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Companies:
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Westat, Inc. and Westat, Inc.
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Address:
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, , MD, 20850,
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Keywords:
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Data matching ; Confidentiality
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Abstract:
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There are several disclosure risk factors to consider prior to publishing tables or releasing an on-line data tool with underlying restricted use data. For example, secondary analysts may want to produce tables at a geographic level lower than allowed for public use microdata. Rules are needed from the data owner or licensor that balance the risk with data utility; preferably based on data driven analyses. A framework is presented for an initial assessment of disclosure risk when releasing a limited number of data tables. Considerations for risk factors include the matchability to existing files, level of detail in variables, impact of data masking, among others. As an illustration, risk factors are quantified using public use data from the American Community Survey to help measure the disclosure risk associated with the planned Census Transportation Planning Products.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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