Privacy and Data-Based Research
Ori Heffetz and
Katrina Ligett
Journal of Economic Perspectives, 2014, vol. 28, issue 2, 75-98
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.
JEL-codes: C55 (search for similar items in EconPapers)
Date: 2014
Note: DOI: 10.1257/jep.28.2.75
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.aeaweb.org/articles.php?doi=10.1257/jep.28.2.75 (application/pdf)
Related works:
Working Paper: Privacy and Data-Based Research (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aea:jecper:v:28:y:2014:i:2:p:75-98
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
Access Statistics for this article
Journal of Economic Perspectives is currently edited by Enrico Moretti
More articles in Journal of Economic Perspectives from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().