Literature DB >> 35692262

The Role of Chance in the Census Bureau Database Reconstruction Experiment.

Steven Ruggles1, David Van Riper1.   

Abstract

The Census Bureau plans a new approach to disclosure control for the 2020 census that will add noise to every statistic the agency produces for places below the state level. The Bureau argues the new approach is needed because the confidentiality of census responses is threatened by "database reconstruction," a technique for inferring individual-level responses from tabular data. The Census Bureau constructed hypothetical individual-level census responses from public 2010 tabular data and matched them to internal census records and to outside sources. The Census Bureau did not compare these results to a null model to demonstrate that their success in matching would not be expected by chance. This is analogous to conducting a clinical trial without a control group. We implement a simple simulation to assess how many matches would be expected by chance. We demonstrate that most matches reported by the Census Bureau experiment would be expected randomly. To extend the metaphor of the clinical trial, the treatment and the placebo produced similar outcomes. The database reconstruction experiment therefore fails to demonstrate a credible threat to confidentiality.

Entities:  

Year:  2021        PMID: 35692262      PMCID: PMC9186495          DOI: 10.1007/s11113-021-09674-3

Source DB:  PubMed          Journal:  Popul Res Policy Rev        ISSN: 0167-5923


  1 in total

1.  How differential privacy will affect our understanding of health disparities in the United States.

Authors:  Alexis R Santos-Lozada; Jeffrey T Howard; Ashton M Verdery
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-28       Impact factor: 11.205

  1 in total
  1 in total

1.  Balancing data privacy and usability in the federal statistical system.

Authors:  V Joseph Hotz; Christopher R Bollinger; Tatiana Komarova; Charles F Manski; Robert A Moffitt; Denis Nekipelov; Aaron Sojourner; Bruce D Spencer
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-25       Impact factor: 12.779

  1 in total

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