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Activity Number:
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518
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Type:
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Invited
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Business and Economics Statistics Section
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| Abstract - #305180 |
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Title:
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Protecting the Confidentiality of Commodity Flow Survey Tables by Adding Noise to the Underlying Microdata
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Author(s):
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Paul B. Massell*+ and J. Neil Russell
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Companies:
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U.S. Census Bureau and National Center for Education Statistics
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Address:
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Room 3209, Building 4, Stop 9100, Washington, DC, 20233-9100,
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Keywords:
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cell suppression ; adding noise to microdata ; commodity flow survey
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Abstract:
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The Commodity Flow Survey (CFS) produces data on the movement of goods in the United States. Data from the CFS are used by analysts for transportation planning, decisionmaking, and modeling transportation facilities and services demand. Complementary cell suppression has been used throughout the years to protect establishment identity in CFS data. Data users, especially transportation modelers, have indicated their need for access to data tables that do not have missing data due to suppression. Agency research now has focused on adding noise to CFS microdata to protect public-use CFS tabular data. Initial research findings of these efforts have been quite positive. This paper will present initial findings of this research and future research steps for a more detailed assessment of CFS data quality after application of this noise methodology.
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