publication . Research . Other literature type . 2019

Introductory Readings in Formal Privacy for Economists

Abowd, John; Schmutte, Ian; Sexton, William; Vilhuber, Lars;
Open Access English
  • Published: 02 Apr 2019
Abstract
The purpose of this document is to provide scholars with a comprehensive list of readings relevant to the economic analysis of formal privacy, and particularly its application to public statistics. Statistical agencies and tech giants are rapidly adopting formal privacy models which make the tradeoff between privacy and data quality precise. The question then becomes, how much privacy loss should they allow? Abowd and Schmutte (2019) argue that this choice ultimately depends on how decision makers weigh the costs of privacy loss against the benefits of higher-quality data. Making progress on these questions requires familiarity with new tools from computer scien...
Subjects
free text keywords: Privacy, Official Statistics, Differential Privacy, Economics, Economics of Privacy, Statistical Disclosure Limitation
Related Organizations
Funded by
NSF| NCRN-MN: Cornell Census-NSF Research Node: Integrated Research Support, Training and Data Documentation
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1131848
  • Funding stream: Directorate for Social, Behavioral & Economic Sciences | Division of Social and Economic Sciences
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Other literature type . 2019
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publication . Research . Other literature type . 2019

Introductory Readings in Formal Privacy for Economists

Abowd, John; Schmutte, Ian; Sexton, William; Vilhuber, Lars;