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Activity Number:
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456
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Type:
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Invited
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Date/Time:
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Thursday, August 7, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #300019 |
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Title:
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New Ways To Provide More and Better Data to the Public While Still Protecting Confidentiality
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Author(s):
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Laura V. Zayatz*+
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Companies:
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U.S. Census Bureau
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Address:
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Commerce/Census/SRD, Washington, DC, 20233-9100,
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Keywords:
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disclosure avoidance ; data dissemination
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Abstract:
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The U.S. Census Bureau collects its survey and census data under Title 13 of the U.S. Code which promises confidentiality to its respondents. The agency also has the responsibility of releasing data for the purpose of statistical analysis. In common with most national statistical institutes, our goal is to release as much high quality data as possible without violating the pledge of confidentiality. We apply disclosure avoidance techniques prior to publicly releasing our data products to protect the confidentiality of our respondents and their data. This paper discusses three areas of current disclosure avoidance research: noise for tabular magnitude data, synthetic tabular frequency and microdata, and a remote microdata analysis system.
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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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