The Role of Chance in the Census Bureau Database Reconstruction Experiment.
Journal
Population research and policy review
ISSN: 0167-5923
Titre abrégé: Popul Res Policy Rev
Pays: Netherlands
ID NLM: 8309372
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
entrez:
13
6
2022
pubmed:
14
6
2022
medline:
14
6
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35692262
doi: 10.1007/s11113-021-09674-3
pmc: PMC9186495
mid: NIHMS1812071
doi:
Types de publication
Journal Article
Langues
eng
Pagination
781-788Subventions
Organisme : NICHD NIH HHS
ID : P2C HD041023
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD043392
Pays : United States
Références
Proc Natl Acad Sci U S A. 2020 Jun 16;117(24):13405-13412
pubmed: 32467167