Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey
Scientific- or public-use files are typically produced by applying anonymisation methods to the original data. Anonymised data should have both low disclosure risk and high data utility.
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Online Access: | https://doi.org/10.1515/jos-2015-0043 |
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doaj-3558360b183d4cb2bb3bb2b065551bed2021-09-06T19:40:51ZengSciendoJournal of Official Statistics2001-73672015-12-0131473776110.1515/jos-2015-0043jos-2015-0043Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings SurveyTempl Matthias0 Statistics Austria, Dept. of Methodology, Guglgasse 13, Vienna 1110, Austria.Scientific- or public-use files are typically produced by applying anonymisation methods to the original data. Anonymised data should have both low disclosure risk and high data utility.https://doi.org/10.1515/jos-2015-0043statistical disclosure controldata utilityquality indicatorsr |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Templ Matthias |
spellingShingle |
Templ Matthias Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey Journal of Official Statistics statistical disclosure control data utility quality indicators r |
author_facet |
Templ Matthias |
author_sort |
Templ Matthias |
title |
Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey |
title_short |
Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey |
title_full |
Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey |
title_fullStr |
Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey |
title_full_unstemmed |
Quality Indicators for Statistical Disclosure Methods: A Case Study on the Structure of Earnings Survey |
title_sort |
quality indicators for statistical disclosure methods: a case study on the structure of earnings survey |
publisher |
Sciendo |
series |
Journal of Official Statistics |
issn |
2001-7367 |
publishDate |
2015-12-01 |
description |
Scientific- or public-use files are typically produced by applying anonymisation methods to the original data. Anonymised data should have both low disclosure risk and high data utility. |
topic |
statistical disclosure control data utility quality indicators r |
url |
https://doi.org/10.1515/jos-2015-0043 |
work_keys_str_mv |
AT templmatthias qualityindicatorsforstatisticaldisclosuremethodsacasestudyonthestructureofearningssurvey |
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1717767644495478784 |