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The EU-SILC sample design variables: critical review and recommendations

Author

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  • Tim Goedemé
Abstract
The EU Statistics on Income and Living Conditions (EU-SILC) are the principal data source for analysing the social situation in Europe. Given that EU-SILC is based on a representative sample in each participating country, estimates based on EU-SILC are subject to sampling variance. One of the principal determinants of the sampling variance is the sample design that has been used for drawing the sample. Therefore, standard errors, significance tests and confidence intervals should be computed taking the sample design as much as possible into account. For doing so, good sample design variables are an indispensable starting point. In this paper, I review the quality of sample design information in the EU-SILC dataset and formulate recommendations for data producers about how to improve the quality of sample design variables and for data users about how to make optimal use of the information that is already available in the EU-SILC UDB.

Suggested Citation

  • Tim Goedemé, 2013. "The EU-SILC sample design variables: critical review and recommendations," Working Papers 1302, Herman Deleeck Centre for Social Policy, University of Antwerp.
    • Handle: RePEc:hdl:wpaper:1302
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    File URL: https://medialibrary.uantwerpen.be/oldcontent/container2453/files/CSB%20WP%202013/CSB_WP_13_02.pdf
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    More about this item

    Keywords

    EU-SILC; sample design; sample design variables; sampling variance; Standard error;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe

    NEP fields

    This paper has been announced in the following NEP Reports:

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