Statistical Disclosure Control Methods for Microdata from the Labour Force Survey
The aim of this article is to analyse the possibility of applying selected perturbative masking methods of Statistical Disclosure Control to microdata, i.e. unit‑level data from the Labour Force Survey. In the first step, the author assessed to what extent the confidentiality of information was prot...
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| Format: | Article |
| Language: | English |
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Lodz University Press
2020-06-01
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| Series: | Acta Universitatis Lodziensis. Folia Oeconomica |
| Subjects: | |
| Online Access: | https://czasopisma.uni.lodz.pl/foe/article/view/3992 |
| _version_ | 1818240047607971840 |
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| author | Michał Pietrzak |
| author_facet | Michał Pietrzak |
| author_sort | Michał Pietrzak |
| collection | DOAJ |
| description | The aim of this article is to analyse the possibility of applying selected perturbative masking methods of Statistical Disclosure Control to microdata, i.e. unit‑level data from the Labour Force Survey. In the first step, the author assessed to what extent the confidentiality of information was protected in the original dataset. In the second step, after applying selected methods implemented in the sdcMicro package in the R programme, the impact of those methods on the disclosure risk, the loss of information and the quality of estimation of population quantities was assessed. The conclusion highlights some problematic aspects of the use of Statistical Disclosure Control methods which were observed during the conducted analysis. |
| first_indexed | 2024-12-12T13:07:14Z |
| format | Article |
| id | doaj.art-1fd841720384458aa2762fd1ae63e71b |
| institution | Directory Open Access Journal |
| issn | 0208-6018 2353-7663 |
| language | English |
| last_indexed | 2024-12-12T13:07:14Z |
| publishDate | 2020-06-01 |
| publisher | Lodz University Press |
| record_format | Article |
| series | Acta Universitatis Lodziensis. Folia Oeconomica |
| spelling | doaj.art-1fd841720384458aa2762fd1ae63e71b2022-12-22T00:23:37ZengLodz University PressActa Universitatis Lodziensis. Folia Oeconomica0208-60182353-76632020-06-01334872410.18778/0208-6018.348.013992Statistical Disclosure Control Methods for Microdata from the Labour Force SurveyMichał Pietrzak0Poznań University of Economics and Business, Institute of Informatics and Quantitative Economics Department of Statistics; Statistical Office in PoznańThe aim of this article is to analyse the possibility of applying selected perturbative masking methods of Statistical Disclosure Control to microdata, i.e. unit‑level data from the Labour Force Survey. In the first step, the author assessed to what extent the confidentiality of information was protected in the original dataset. In the second step, after applying selected methods implemented in the sdcMicro package in the R programme, the impact of those methods on the disclosure risk, the loss of information and the quality of estimation of population quantities was assessed. The conclusion highlights some problematic aspects of the use of Statistical Disclosure Control methods which were observed during the conducted analysis.https://czasopisma.uni.lodz.pl/foe/article/view/3992statistical disclosure controlperturbative methodspramadditive noiserank swappingmicrodatalabour force surveysdcmicro package |
| spellingShingle | Michał Pietrzak Statistical Disclosure Control Methods for Microdata from the Labour Force Survey Acta Universitatis Lodziensis. Folia Oeconomica statistical disclosure control perturbative methods pram additive noise rank swapping microdata labour force survey sdcmicro package |
| title | Statistical Disclosure Control Methods for Microdata from the Labour Force Survey |
| title_full | Statistical Disclosure Control Methods for Microdata from the Labour Force Survey |
| title_fullStr | Statistical Disclosure Control Methods for Microdata from the Labour Force Survey |
| title_full_unstemmed | Statistical Disclosure Control Methods for Microdata from the Labour Force Survey |
| title_short | Statistical Disclosure Control Methods for Microdata from the Labour Force Survey |
| title_sort | statistical disclosure control methods for microdata from the labour force survey |
| topic | statistical disclosure control perturbative methods pram additive noise rank swapping microdata labour force survey sdcmicro package |
| url | https://czasopisma.uni.lodz.pl/foe/article/view/3992 |
| work_keys_str_mv | AT michałpietrzak statisticaldisclosurecontrolmethodsformicrodatafromthelabourforcesurvey |