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Abstract Details
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Activity Number:
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455
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #300788 |
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Title:
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Applying Cell Suppression to Inter-Related Tables
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Author(s):
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Jacob Bournazian and Michael Salpeter and Bin Zhang*+
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Companies:
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Energy Information Administration and Addx Corporation and Energy Information Administration
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Address:
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1000 Independence Ave SW EI-21, Washington DC, DC, 20585,
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Keywords:
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confidentiality ;
cell suppression
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Abstract:
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Cell suppression is the most common disclosure limitation method that the U.S. Energy Information Administration (EIA) applies to the aggregate statistics that it publicly releases. Complementary cell suppression involves withholding the publication of non-sensitive cells in a table in order to protect the cells that were identified as sensitive to revealing company level information. EIA has two different automated suppression programs that it applies to tabular data. Each program follows a different methodology. The data protection levels for a table vary from applying different complementary cell suppression methodologies because the suppression patterns vary depending upon each methodology. If several tables within the same information product are related due to a high level of dimensions in the table designs, then the selection of complementary cells in each table becomes a more com
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Authors who are presenting talks have a * after their name.
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