Evaluating Bias and Noise Induced by the U.S. Census Bureau’s Privacy Protection Methods

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ISPS ID: 
D214
Suggested citation: 

Christopher T. Kenny et al., 2024, Replicaton materials for, ‘Evaluating bias and noise induced by the U.S. Census Bureau’s privacy protection methods,’ https://hdl.handle.net/10079/224a5de2-3f71-4f0b-9a84-8fa872a77162. ISPS Data Archive.

Author(s): 

Kosuke Imai, Shiro Kuriwaki, Tyler Simko, Cory McCartan, Christopher Kenny

Research design: 
Data type: 
Administration Data
Data source(s): 

2020 U.S. Census Data

Data source information: 
Field Date: 
2020
Location: 
Location details: 
United States Census
Unit of observation: 
Individual
Sample size: 
Full Population of 2020 U.S. Census
Inclusion/exclusion: 
2020 Census Criteria
Randomization procedure: 
none
Treatment: 
none
Treatment administration: 
Other
Outcome measures: 
Other
Archive date: 
2024
Terms of use: 

ISPS Data Archive: Terms of Use.

Discipline: 
Area of study: 
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