Economic Analysis and Statistical Disclosure Limitation

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An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices (2018, background): “As argued in Abowd and Schmutte (2015), the public property of differential privacy is a major advantage over traditional statistical disclosure limitation (SDL) because it allows for verification of the privacy protection and correct inferences from the published statistics.”
The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility (2018, unknown): “The standard deviation of the noise distribution is chosen based on the sensitivity of the estimates to a single individual’s data, as in the literature on statistical disclosure limitation (Dwork 2008; Abowd and Schmutte 2015). We calculate the sensitivity of the estimates by calculating the maximu”
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics (2017, background): “For instance, in current LODES publications, workplace counts are protected by an input noise infusion system(2) that provably avoids exact disclosures of establishment level employment counts but has no guarantee that users are prevented from inferring actual establishment job counts to within some”