Full Citation
Title: Differential Privacy and Census Data: Implications for Social and Economic Research
Citation Type: Conference Paper
Publication Year: 2019
ISBN:
ISSN:
DOI: 10.1257/pandp.20191107
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Abstract: In September 2018, the Census Bureau announced a new set of methods for disclosure control in public use data products, including aggregate-level tabular data and microdata derived from the decennial census and the American Community Survey (ACS) (US Census Bureau 2018a). The new approach, known as differential privacy, “marks a sea change for the way that official statistics are produced and published” (Garfinkel, Abowd, and Powazek 2018). In accordance with census law, for the past six decades the Census Bureau has ensured that no census publications allow specific census responses to be linked to specific people. Differential privacy requires protections that go well beyond this standard; under the new approach, responses of individuals cannot be divulged even if the identity of those individuals is unknown and cannot be determined. In its pure form, differential privacy techniques could make the release of scientifically useful . . .
Url: http://users.hist.umn.edu/~ruggles/Articles/Privacy.pdf
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Authors: Ruggles, Steven; Fitch, Catherine; Magnuson, Diana; Schroeder, Jonathan
Conference Name: AEA Papers and Proceedings
Publisher Location: Atlanta Marriott Marquis
Data Collections: IPUMS USA
Topics: Methodology and Data Collection, Other
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