German Microdata Lab

Standard error estimates (EU-SILC)

  • Stata do-filesthat prepare the sample design variables for the EU-SILC cross-sectional data (2005-2011).  [by Tim Goedemé].

The do-file is discussed in the following article and working papers.

  • Di Meglio, E., Osier, G., Goedemé, T. , Berger, Y. G. and Di Falco, E. (2013): Standard Error Estimation in EU-SILC – First Results of the Net-SILC2 Project, Proceedings of the Conference on New Techniques and Technologies for Statistics, March 5–7, 2013, Brussels.
  • Goedemé, T. (2013): How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators, Social Indicators Research, 110(1): 89-110, doi:10.1007/s11205-011-9918-2.
  • Goedemé, T. (2013): The EU-SILC sample design variables: critical review and recommendations, CSB Working Paper Series, WP 13/02, Antwerp, Herman Deleeck Centre for Social Policy, University of Antwerp (PDF).
  • Osier, G., Berger, Y.G., and Goedemé. T. (2013): Standard Error Estimation for the EU-SILC Indicators of Poverty and Social Exclusion, Eurostat Methodologies and Working Papers, Publications Office of the European Union, Luxembourg (PDF).
  • Goedemé, T. (2010): The standard error of estimates based on EU-SILC. An exploration through the Europe 2020 poverty indicators, CSB Working Paper Series, WP 10/09, Antwerp, Herman Deleeck Centre for Social Policy, University of Antwerp (PDF).
  • Verma, V. and Betti, G. (2010): Data accuracy in EU-SILC in Marlier E., and A. B. Atkinson (Eds.) Income and living conditions in Europe, Publications Office of the European Union, Luxembourg.
  • Verma, V., Betti, G. and Gagliardi, F. (2010): An assessment of survey errors in EU-SILC, Eurostat Methodologies and Working Papers, Publications Office of the European Union, Luxembourg (PDF).