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Activity Number:
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231
- SPEED: SPAAC SESSION I
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Type:
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Topic-Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 10:00 AM to 11:50 AM
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Sponsor:
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Social Statistics Section
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Abstract #317734
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Title:
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The Effect of the Differential Privacy Disclosure Avoidance System Proposed by the Census Bureau on 2020 Census Products: Four Case Studies of Census Blocks in Mississippi
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Author(s):
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David Swanson* and Ronald Cossman
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Companies:
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U of California Riverside & U of Washington and Social Science Research Ctr, Miss. State U.
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Keywords:
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Disclosure Avoidance;
Children without Adults;
Re-districting;
Consumer Demographics;
small area;
Public Health
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Abstract:
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The Census Bureau plans to introduce a new Disclosure Avoidance System known as Differential Privacy (DP) for its 2020 census data products. Using a DP demonstration product file provided by the Census Bureau, we assess the errors introduced by DP on census block data in Mississippi in the form of four case studies and find them to be substantial by type and level. Because it is likely that the results we found in Mississippi will be found in other states, our examination leads us to conclude that it is likely that the errors introduced by DP of the type and at the level found in the demonstration product file we examined will render the nation’s block level data essentially unusable.
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Authors who are presenting talks have a * after their name.
