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Resource Library
Center for Disclosure Avoidance Research (CDAR) Working Papers
Center for Disclosure Avoidance Research (CDAR) Working Papers
Disclosure avoidance techniques are used to ensure published data cannot be used to estimate an individual firm's data too closely.
Working Paper
Predicting Complementary Cell Suppressions
The U.S. Census Bureau uses cell suppression methodology as the primary disclosure avoidance methodology for various economic surveys.
Working Paper
Evaluating a Remote Access System
The U.S. Census Bureau has the dual aims of releasing useful data while protecting respondent confidentiality.
Working Paper
A Concise Theory of Randomized Response Techniques for Privacy
A variety of randomized response (RR) procedures for privacy and confidentiality protection have been proposed, studied and compared in the literature.
Working Paper
Emerging Applications of Randomized Response Concepts
Randomized response (RR) was introduced as a technique for protecting respondents' privacy in survey interviews regarding sensitive characteristics.
Working Paper
Measuring Identification Risk in Microdata Release and Its Control
Statistical agencies often release a masked or perturbed version of survey data to protect respondents' confidentiality.
Page Last Revised - October 28, 2021
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