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Center for Enterprise Dissemination (CED) Working Paper Series

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Center for Enterprise Dissemination (CED) Working Paper Series

This series contains information regarding the cutting edge of statistical analysis and disclosure limitation.
2022
2022
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Families and Living Arrangements
Family Pies: Effects of Family Resource Shares in Childhood
December 06, 2022
Author Jordan C. Stanley
Working Paper Number CED-WP-2022-005
Primary Topic Families and Living Arrangements
Effects of birth order on various outcomes have been extensively studied in both life sciences and social sciences.
Research
Bayesian and Frequentist Semantics for Common Variations of DP
September 08, 2022
Author Daniel Kifer, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Philip Leclerc, Ashwin Machanavajjhala, William Sexton, and Pavel Zhuravlev
Working Paper Number CED-WP-2022-004
Primary Topic Disclosure Avoidance
Differential privacy is the formal privacy framework adopted for disclosure avoidance in the 2020 United States Decennial Census of Population and Housing.
Research
Confidentiality Protection in the 2020 U.S. Census of Population
June 09, 2022
Author John M. Abowd, Michael B. Hawes
Working Paper Number CED-WP-2022-003
Primary Topic Disclosure Avoidance
This article discusses the deployment of a differential privacy framework for the 2020 US Census that was customized to protect confidentiality.
Research
Information Design for Differential Privacy
April 2022
Author Ian Schmutte, Nathan Yoder
Working Paper Number CED-WP-2022-001
Primary Topic Disclosure Avoidance
We consider the problem of choosing such a mechanism so as to maximize the value of its output to end users.
Research
The 2020 Census Disclosure Avoidance System TopDown Algorithm
April 2022
Author John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev
Working Paper Number CED-WP-2022-002
Primary Topic Disclosure Avoidance
The Census TopDown Algorithm is a disclosure avoidance system using differential privacy for privacy-loss accounting.
Page Last Revised - January 13, 2023
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