Releasing Earnings Distributions using Differential Privacy

The U.S. Census Bureau recently released data on earnings percentiles of graduates from post-secondary institutions. This paper describes and evaluates the disclosure avoidance system developed for these statistics. We propose a differentially private algorithm for releasing these data based on sta...

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Bibliographic Details
Main Authors: Andrew David Foote, Ashwin Machanavajjhala, Kevin McKinney
Format: Article
Language:English
Published: Labor Dynamics Institute 2019-10-01
Series:The Journal of Privacy and Confidentiality
Subjects:
Online Access:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/722