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dc.contributor.authorAbowd, John
dc.date.accessioned2013-01-18T15:55:35Z
dc.date.available2013-01-18T15:55:35Z
dc.date.issued2013-01
dc.identifier.urihttps://hdl.handle.net/1813/30937
dc.descriptionThe opinions expressed in this presentation are those of the author and neither the National Science Foundation nor the Census Bureau.en_US
dc.description.abstractAnonymization and data quality are intimately linked. Although this link has been properly acknowledged in the Computer Science and Statistical Disclosure Limitation literatures, economics offers a framework for formalizing the linkage and analyzing optimal decisions and equilibrium outcomes.en_US
dc.description.sponsorshipNSF grants CNS-0627680, SES-0820349, SES-0922005, SES-0922494, BCS-0941226, SES-1042181, TC-1012593, SES 1131848, U.S. Census Bureauen_US
dc.publisherData Linkage and Anonymisation Scoping Meeting, Issac Newton Institute for Mathematical Sciences, Cambridge, UKen_US
dc.subjectData Privacyen_US
dc.subjectConfidentiality Protectionen_US
dc.subjectEconomicsen_US
dc.titlePresentation: Revisiting the Economics of Privacy: Population Statistics and Privacy as Public Goodsen_US
dc.typepresentationen_US


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