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465 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Privacy, Confidentiality, and Disclosure Limitation — Contributed Papers
Government Statistics Section
Chair(s): Phillip S Kott, RTI International
A Monte Carlo Simulation Study for Reject Inference
Billie Anderson, Harrisburg University; Mark Newman, Harrisburg University; Phil Grim, Harrisburg University; J. Michael Hardin, Samford University
Knockoff Privacy: Connections Between Data Privacy and False Discovery Rate Control
Michelle Nixon, Pennsylvania State Univ; Aleksandra Slavkovic, Pennsylvania State University
Generating Poisson-Distributed Differentially Private Synthetic Data
Harrison Quick, Drexel University
Confidentiality Issues in Integrated Data Access: International Comparative Perspective
Dominik Rozkrut, University of Szczecin; Monika Rozkrut, Univeristy of Szczecin; Wlodzimierz Okrasa, Statistics Poland, Cardinal Stefan Wyszynski University in Warsaw
A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications
Aaron Williams; Claire Bowen, Urban Institute; Len Burman, Urban Institute; Surachai Khitatrakun, Urban Institute; Kyle Ueyama, Urban Institute
Differential Privacy for Model Sharing Between Government Agencies
Ellen Galantucci, BLS; Alex Measure, Bureau of Labor Statistics; David Oh, BLS