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Activity Number:
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462
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #308597 |
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Title:
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Matching NCES Data to External Databases To Assess Disclosure Risk
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Author(s):
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Elizabeth Steiner and J. Neil Russell*+ and Marilyn Seastrom
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Companies:
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Carnegie Mellon University and National Center for Education Statistics and National Center for Education Statistics
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Address:
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1990 K. St., NW, Room 9050, Washington, DC, 20006,
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Keywords:
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Confidentiality ; Matching ; External Databases ; Disclosure Risk
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Abstract:
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By law, the National Center for Education Statistics (NCES) is required to protect respondent identifying information. Since the 1990s, the NCES Disclosure Review Board (DRB) has required that survey programs that release public-use microdata files (PUMFs) match to external databases as part of a disclosure risk analysis. Since there are few published accounts of Federal agencies using matching as a method of assessing disclosure risk, this paper contributes to the literature in two ways: 1) this paper will chronicle the NCES history of matching as a disclosure risk assessment method, and 2) it will present disclosure risks discovered by matching to external databases. The paper provides a brief history of NCES matching studies, describes the methods used to conduct this meta-analysis, and presents findings in the context of assessing disclosure risk.
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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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