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Center for Disclosure Avoidance Research (CDAR) Working Papers

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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

September 30, 2016

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

July 29, 2016

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

July 28, 2016

A variety of randomized response (RR) procedures for privacy and confidentiality protection have been proposed, studied and compared in the literature.
Working Paper

Measuring Identification Risk in Microdata Release and Its Control

May 02, 2016

Statistical agencies often release a masked or perturbed version of survey data to protect respondents' confidentiality.
Working Paper

Emerging Applications of Randomized Response Concepts

May 02, 2016

Randomized response (RR) was introduced as a technique for protecting respondents' privacy in survey interviews regarding sensitive characteristics.

Page Last Revised - October 28, 2021

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