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Citation Indices from GS

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:: Volume 26, Issue 1 (9-2015) ::
مجله‌ی بررسی‌ها 2015, 26(1): 65-88 Back to browse issues page
Unit Information Disclosure Limitation in Microdata with an Application on Industrial Survey Data
Sima Haghdoust , Reza Navvabpour *
Abstract:   (4306 Views)

Nowadays, all organizations, researchers, and other users are using statistical information to study their problems efficiently. Publishing and disseminating the statistical information in each of the available form can disclose unit private information. This phenomenon can make a public distrust of national statistical agencies which are the preserver of the statistical units private information. This event decreases cooperation or even noncooperation of the statistical units. On the other hand, increasing nonresponse rate or receiving inaccurate responses, can strongly decrease the quality of the statistical information. Therefore, the national statistical agencies should make a balance between dissemination statistical information and unit information disclosure risk. For making this balance, limiting information disclosure methods are used by national statistical agencies. In this paper we introduce methods for controlling disclosure of statistical unit information in tabular and micro data forms by putting emphasis on micro data. Then we will apply some of the limiting disclosure micro data methods to the 39th industrial establishment survey data with 10 and more employees for Qazvin province in 1390 (2011) which was conducted by Statistical Center of Iran. Finally, we will show how data get secured after applying some methods of limiting disclosure risk.

Keywords: Confidentiality, disclosure, tabular data, micro data, perturbative and non-perturbative masking methods.
Full-Text [PDF 319 kb]   (1538 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/05/29 | Accepted: 2016/05/29 | Published: 2016/05/29
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Haghdoust S, Navvabpour R. Unit Information Disclosure Limitation in Microdata with an Application on Industrial Survey Data. مجله‌ی بررسی‌ها 2015; 26 (1) :65-88
URL: http://ijoss.srtc.ac.ir/article-1-133-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 26, Issue 1 (9-2015) Back to browse issues page
مجله‌ی بررسی‌های آمار رسمی ایران Ijoss Iranian Journal of Official Statistics Studies
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