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Privacy and Data-Based Research

Privacy and Data-Based Research Abstract What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy , an active literature in computer science that studies formal approaches to preserving the privacy of individuals in statistical databases. We apply some of its insights to situations routinely faced by applied economists, emphasizing big-data contexts. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Economic Perspectives American Economic Association

Privacy and Data-Based Research

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Publisher
American Economic Association
Copyright
Copyright © 2014 by the American Economic Association
Subject
Symposia
ISSN
0895-3309
DOI
10.1257/jep.28.2.75
Publisher site
See Article on Publisher Site

Abstract

Abstract What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy , an active literature in computer science that studies formal approaches to preserving the privacy of individuals in statistical databases. We apply some of its insights to situations routinely faced by applied economists, emphasizing big-data contexts.

Journal

Journal of Economic PerspectivesAmerican Economic Association

Published: May 1, 2014

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