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Possibilities for Improvement of the Statistical Confidentiality Methods and Approaches

Author

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  • Aleksandar Naydenov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

In the process of the official statistical data provision from the national statistical institutes to their consumers there is always some tension. The ‘producers’ of the statistical ‘products’ aim to provide data with the best quality, considering the legal regulations on the data confidential­ity. From other perspective, the statistical data consumers would like to obtain more detailed information about the studied events and phe­nomenon including microdata about the individ­ual statistical units, which is a precondition for a breach of the data confidentiality. The National statistical institute (NSI) of Bulgaria observes all legal recommendations and regulations and provides high level of protection of the personal information of its respondents while producing high quality data. This paper considers a less discussed theme in Bulgaria on the statistical data confidentiality and delivers a critical review of the present situation in the statistical disclo­sure control approaches application in the NSI. Detailed description of the possible improve­ments and cost-effectiveness is also provided.

Suggested Citation

  • Aleksandar Naydenov, 2016. "Possibilities for Improvement of the Statistical Confidentiality Methods and Approaches," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 13-23, January.
    • Handle: RePEc:nwe:iisabg:y:2016:i:1:p:13-23
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    File URL: http://www.unwe.bg/uploads/Alternatives/2-Naydenov.pdf
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    Cited by:

    1. Rosen Kirilov, 2021. "Approaches for Building Information Systems for Monitoring the Realization of Students," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 469-481, September.

    More about this item

    Keywords

    statistical confidentiality methods; microdata; tabular data; possibilities for improvement;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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