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Using the Complex Measure in an Assessment of the Information Loss Due to the Microdata Disclosure Control

100%
Młodak A.
Przegląd Statystyczny
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2019
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vol. 66
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issue 1
7-26
EN
The paper contains a proposal of original method of assessment of information loss resulted from an application of the Statistical Disclosure Control (SDC) conducted during preparation of the resulting data to the publication and disclosure to interested users. The SDC tools enable protection of sensitive data from their disclosure – both direct and indirect. The article focuses on pseudonimised microdata, i.e. individual data without fundamental identifiers, used for scientific purposes. This control is usually to suppress, swapping or disturbing of original data. However, such intervention is connected with the loss of some information. Optimization of choice of relevant SDC method requires then a minimization of such loss (and risk of disclosure of protected data). Traditionally used methods of measurement of such loss are not rarely sensitive to dissimilarities resulting from scale and scope of values of variables and cannot be used for ordinal data. Many of them weakly take also connections between variables into account, what can be important in various analyses. Hence, this paper is aimed at presentation of a proposal (having the source in papers by Zdzisław Hellwig) concerning use of a method of normalized and easy interpretable complex measure (called also the synthetic indicator) for connected features based on benchmark and anti–benchmark of development to the assessment of information loss resulted from an application of some SDC techniques and at studying its practical utility. The measure is here constructed on the basis of distances between original data and data after application of the SDC taking measurement scales into account.
2
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Migration and economic conditions in the EU: a case study of immigrants in Germany

86%
Jandová P.
International Economics Letters
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2012
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vol. 1
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issue 1
41-49
EN
This paper uses the case study of Germany to demonstrate the importance of education for local citizens and immigrants. Moreover, it compares the situation of migrants in Germany originating from the EU Member States and from the third countries. A unique dataset from 2009 comprising the microdata on a panel of German citizens and migrants obtained from SOEP allowed this comparison. The results show that the openness of the EU seems to influence the inter-EU migration. In addition, the hypothesis that the education is an important factor that influences the wages is confirmed for the locals and migrants alike. Furthermore, it seems that education represents a more important for the citizens of other EU Member States in their life and work in Germany.
3
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Statistical Disclosure Control Methods for Microdata from the Labour Force Survey

44%
Pietrzak M.
Acta Universitatis Lodziensis. Folia Oeconomica
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2020
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vol. 3
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issue 348
7-24
PL
Celem artykułu jest analiza możliwości wykorzystania wybranych zakłóceniowych metod kontroli ujawniania mikrodanych na przykładzie danych jednostkowych z Badania Aktywności Ekonomicznej Ludności. W pierwszym etapie oceniona została ochrona poufności informacji w oryginalnym zbiorze danych. Po zaaplikowaniu wybranych metod, zaimplementowanych w pakiecie sdcMicro programu R, przedmiotem dociekań stał się wpływ tych metod na ryzyko ujawnienia, poniesioną stratę informacji, a także na jakość estymacji określonych wielkości dla populacji. Podkreślone zostały pewne problematyczne aspekty praktycznego wykorzystania kontroli ujawniania danych, zaobserwowane podczas przeprowadzonej analizy.
EN
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.
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