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Resource Library
Center for Enterprise Dissemination (CED) Working Paper Series
Center for Enterprise Dissemination (CED) Working Paper Series
This series contains information regarding the cutting edge of statistical analysis and disclosure limitation.
Research
Disclosure Avoidance for the 2020 Census DHC
In this paper we describe the updates to the DAS that were required to release the Demographic and Housing Characteristics File.
Research
Preliminary Report on Differentially Private Post-Stratification
Research
Database Reconstruction Does Compromise Confidentiality
Research
21st Century Statistical Disclosure Limitation
Research
An Annotated Bibliography of Privacy-Violating Attacks
This annotated bibliography is intended to serve as a convenient guide to papers constituting the scientific literature on privacy-violating attacks.
Families and Living Arrangements
Family Pies: Effects of Family Resource Shares in Childhood
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
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
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
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
The Census TopDown Algorithm is a disclosure avoidance system using differential privacy for privacy-loss accounting.
Research
A Penny Synthesized is a Penny Earned?
The Census Bureau has expressed interest in using modern synthetic data modeling techniques for privacy and confidentiality protection in future releases.
Research
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
We show that an uncertainty principle governs the trade-off between accuracy for a population of interest vs. accuracy for its component sub-population.
Research
Geographic Spines in the 2020 Census Disclosure Avoidance System
The Census TopDown Algorithm outputs microdata that satisfy either pure or zero-concentrated differential privacy.
Research
Block-Level Simulation of Non-Sampling Variability in Decennial Census
Attached are two notes documenting the methods and results from two studies we performed that used simulations to investigate variation.
Research
In Utero Exposure to Airborne Lead Affects Long-Run Socioeconomic
We report on the long-term effects of in utero exposure to air lead on adult socio-economic outcomes.
Research
Measuring Disagreement in Probabilistic and Density Forecasts
In this paper, we introduce and study a class of disagreement measures for probability distribution forecasts based on the Wasserstein metric.
Research
Synthesizing Familial Linkages for Privacy in Microdata
Synthetic data has become a successful way to provide external researchers a chance to conduct a wide variety of analyses on microdata.
Research
Minimum Wages, Retirement Timing, and Labor Supply
We use linked survey-administrative data to study the impact of minimum wage increases on Social Security retirement benefit claiming behavior and labor supply
Research
Analyzing the demographic, spatial, and temporal factors
We find that gender differences in social contact patterns exist. In the home, they
appear to be driven by caretaking responsibilities.
Research
Probability Forecast Combination via Entropy Regularized Wasserstein
In this paper, we study a class of density forecast combination methods based on a Wasserstein metric.
Research
The Modernization of Statistical Disclosure Limitation
The U.S. Census Bureau views disclosure limitation not just as a research interest, but
as an operational imperative.
Research
Differentially Private k-Nearest Neighbor Missing Data Imputation
In this paper, we establish a smooth upper bound for k-nearest-neighbor imputation.
Research
Reidentification Primer Using Four Metrics
This working paper updates our methodology for re-identification studies.
Research
A History of the American Housing Survey and Disclosure Avoidance
The U.S. Census Bureau conducts the American Housing Survey (AHS) for the Department of Housing and Urban Development (HUD) under Title 13, U.S. Code, Section 9
Research
A History of the Current Population Survey and Disclosure Avoidance
The U.S. Census Bureau conducts the monthly Current Population Survey (CPS) for the Bureau of Labor Statistics under Title 13, U.S. Code, Section 9
Research
A History of the Economic Census and Disclosure Avoidance
The U.S. Census Bureau conducts the Economic Census under Title 13, U.S. Code, Section 9.
History
A History of the Survey of Income and Program Participation
The U.S. Census Bureau conducts the Survey of Income and Program Participation (SIPP) under Title 13, U.S. Code, Section 9.
Research
A History of the U.S. Census Bureau's Disclosure Review Board
The Board ensures that standard DA techniques have been applied, but its members also discuss each product to determine if it presents any additional disclosure
Research
Disclosure Avoidance Techniques Used for the 1960 Through 2010 Census
The U.S. Census Bureau conducts the decennial censuses under Title 13, U.S. Code, Section 9.
Research
Legacy Techniques and Current Research in Disclosure Avoidance
The Census Bureau applies Disclosure Avoidance (DA) techniques to its publicly released statistical products in order to protect respondent confidentiality..
Research
Reidentification Studies
The U.S. Census Bureau conducts its censuses and surveys under Title 13, U.S. Code, Section 9.
Page Last Revised - January 13, 2023
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