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Problems of the German Contribution to EU-SILC: A Research Perspective, Comparing EU-SILC, Microcensus and SOEP

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  • Richard Hauser

Abstract

EU-SILC will become one of the most important statistical data sources for the Federal Government's future Poverty and Wealth Reports, for comparing Germany's position with those of the other EU member states in the "open method of coordination", and for the international scientific community and international organisations. Hence this sample needs intensive quality control to ensure data quality. Ex ante quality control must take the form of selecting suitable survey methods, internal control of consistency of the data collected from each household, transparent data editing, reliable imputation methods and compensation for drop-outs by reweighting. Ex post consistency checks are needed in the form of comparison with other similar household samples, with administrative statistics and with macro-economic aggregates of the national accounts. In this paper the need for intensive ex post quality control is met with consistency checks in the form of a comparison between the results of EU-SILC and the microcensus and SOEP, which reveals significant deviations in the coverage of poorly integrated foreigners, small children and the level of education, as well as the ratio of house/apartment owners and the employment ratio. This causes serious distortions to the Laeken indicators calculated.

Suggested Citation

  • Richard Hauser, 2008. "Problems of the German Contribution to EU-SILC: A Research Perspective, Comparing EU-SILC, Microcensus and SOEP," SOEPpapers on Multidisciplinary Panel Data Research 86, DIW Berlin, The German Socio-Economic Panel (SOEP).
  • Handle: RePEc:diw:diwsop:diw_sp86
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    File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.78924.de/diw_sp0086.pdf
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    References listed on IDEAS

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    1. John T. Addison & Mário Centeno & Pedro Portugal, 2010. "Unemployment Benefits and Reservation Wages: Key Elasticities from a Stripped-Down Job Search Approach," Economica, London School of Economics and Political Science, vol. 77(305), pages 46-59, January.
    2. Bloemen, Hans G & Stancanelli, Elena G F, 2001. "Individual Wealth, Reservation Wages, and Transitions into Employment," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 400-439, April.
    3. Dale T. Mortensen, 1977. "Unemployment Insurance and Job Search Decisions," ILR Review, Cornell University, ILR School, vol. 30(4), pages 505-517, July.
    4. Prasad, Eswar, 2003. "What Determines the Reservation Wages of Unemployed Workers? New Evidence from German Micro Data," IZA Discussion Papers 694, Institute for the Study of Labor (IZA).
    5. Devine, Theresa J. & Kiefer, Nicolas M., 1991. "Empirical Labor Economics: The Search Approach," OUP Catalogue, Oxford University Press, number 9780195059366.
    6. repec:spo:wpecon:info:hdl:2441/9704 is not listed on IDEAS
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    Cited by:

    1. Naticchioni, Paolo & Ragusa, Giuseppe & Massari, Riccardo, 2014. "Unconditional and Conditional Wage Polarization in Europe," IZA Discussion Papers 8465, Institute for the Study of Labor (IZA).
    2. Joachim R. Frick & Kristina Krell, 2010. "Measuring Income in Household Panel Surveys for Germany: A Comparison of EU-SILC and SOEP," SOEPpapers on Multidisciplinary Panel Data Research 265, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Van Kerm, Philippe & Pi Alperin, Maria Noel, 2013. "Inequality, growth and mobility: The intertemporal distribution of income in European countries 2003–2007," Economic Modelling, Elsevier, vol. 35(C), pages 931-939.
    4. Matthias Collischon, 2017. "Is there a Glass Ceiling over Germany?," Working Papers 175, Bavarian Graduate Program in Economics (BGPE).

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    Keywords

    Intergenerational Mobility; Germany;

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