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来源类型Working Paper
规范类型报告
DOI10.3386/w19433
来源IDWorking Paper 19433
Privacy and Data-Based Research
Ori Heffetz; Katrina Ligett
发表日期2013-09-12
出版年2013
语种英语
摘要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.
主题Econometrics ; Estimation Methods ; Data Collection ; Microeconomics ; Economics of Information ; Other ; Culture
URLhttps://www.nber.org/papers/w19433
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577109
推荐引用方式
GB/T 7714
Ori Heffetz,Katrina Ligett. Privacy and Data-Based Research. 2013.
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