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Evaluating bias and noise induced by the U.S. Census Bureau’s privacy protection methods

Science Advances1 May 2024Vol 10, Issue 18AbstractThe U.S. Census Bureau faces a difficult trade-off between the accuracy of Census statistics and the protection of individual information. We conduct an independent evaluation of bias and noise induced by the Bureau’s two main disclosure avoidance systems: the TopDown algorithm used for the 2020 Census and the swapping algorithm implemented for the three previous Censuses. Our evaluation leverages the Noisy Measurement File (NMF) as well as two i...

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