The microdata analysis system at the U.S. Census Bureau

The U.S. Census Bureau has the responsibility to release high quality data products while maintaining the confidentiality promised to all respondents under Title 13 of the U.S. Code. This paper describes a Microdata Analysis System (MAS) that is currently under development, which will allow users to...

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Detalles Bibliográficos
Autores: Lucero, Jason, Freiman, Michael, Singh, Lisa, You, Jiashen, DePersio, Michael, Zayatz, Laura
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:97849
Acceso en línea:https://ddd.uab.cat/record/97849
Access Level:acceso abierto
Palabra clave:Statistical disclosure limitation
Microdata analysis
Information retrieval
Cross-tabulations
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spelling The microdata analysis system at the U.S. Census BureauLucero, JasonFreiman, MichaelSingh, LisaYou, JiashenDePersio, MichaelZayatz, LauraStatistical disclosure limitationMicrodata analysisInformation retrievalCross-tabulationsThe U.S. Census Bureau has the responsibility to release high quality data products while maintaining the confidentiality promised to all respondents under Title 13 of the U.S. Code. This paper describes a Microdata Analysis System (MAS) that is currently under development, which will allow users to receive certain statistical analyses of Census Bureau data, such as crosstabulations and regressions, without ever having access to the data themselves. Such analyses must satisfy several statistical confidentiality rules; those that fail these rules will not be output to the user. In addition, the Drop q Rule, which requires removing a relatively small number of units before performing an analysis, is applied to all datasets. We describe the confidentiality rules and briefly outline an evaluation of the effectiveness of the Drop q Rule. We conclude with a description of other approaches to creating a system of this sort, and some directions for future research. 22011-01-0120112011-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/97849reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:978492026-06-06T12:50:31Z
dc.title.none.fl_str_mv The microdata analysis system at the U.S. Census Bureau
title The microdata analysis system at the U.S. Census Bureau
spellingShingle The microdata analysis system at the U.S. Census Bureau
Lucero, Jason
Statistical disclosure limitation
Microdata analysis
Information retrieval
Cross-tabulations
title_short The microdata analysis system at the U.S. Census Bureau
title_full The microdata analysis system at the U.S. Census Bureau
title_fullStr The microdata analysis system at the U.S. Census Bureau
title_full_unstemmed The microdata analysis system at the U.S. Census Bureau
title_sort The microdata analysis system at the U.S. Census Bureau
dc.creator.none.fl_str_mv Lucero, Jason
Freiman, Michael
Singh, Lisa
You, Jiashen
DePersio, Michael
Zayatz, Laura
author Lucero, Jason
author_facet Lucero, Jason
Freiman, Michael
Singh, Lisa
You, Jiashen
DePersio, Michael
Zayatz, Laura
author_role author
author2 Freiman, Michael
Singh, Lisa
You, Jiashen
DePersio, Michael
Zayatz, Laura
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Statistical disclosure limitation
Microdata analysis
Information retrieval
Cross-tabulations
topic Statistical disclosure limitation
Microdata analysis
Information retrieval
Cross-tabulations
description The U.S. Census Bureau has the responsibility to release high quality data products while maintaining the confidentiality promised to all respondents under Title 13 of the U.S. Code. This paper describes a Microdata Analysis System (MAS) that is currently under development, which will allow users to receive certain statistical analyses of Census Bureau data, such as crosstabulations and regressions, without ever having access to the data themselves. Such analyses must satisfy several statistical confidentiality rules; those that fail these rules will not be output to the user. In addition, the Drop q Rule, which requires removing a relatively small number of units before performing an analysis, is applied to all datasets. We describe the confidentiality rules and briefly outline an evaluation of the effectiveness of the Drop q Rule. We conclude with a description of other approaches to creating a system of this sort, and some directions for future research.
publishDate 2011
dc.date.none.fl_str_mv 2
2011-01-01
2011
2011-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/97849
url https://ddd.uab.cat/record/97849
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
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