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Metadata for Official Statistics

Data Handling & Analysis: EU-SILC

Adding information on at-risk-of-poverty thresholds to longitudinal EU-SILC data

Author Barbara Lange, Alexander Mack (GESIS)
Description This Stata .do file generates poverty threshholds for the longitudinal EU-SILC microdata.
Download [.zip]

This tool was produced as part of the Data without Boundaries project.

Harmonization of Income data in EU-SILC - UPDATE

Author Alexander Mack, Barbara Lange, Valentina Ponomarenko (GESIS)
Description This technical report describes harmonization procedures for income data in EU-SILC and provides code and auxiliary macro data for SPSS and Stata.
Download Technical report [.pdf]

Datafile (SPSS) [.sav]
Datafile (SPSS without UK) [.sav]
Datafile (Stata) [.dta]
Datafile (Stata without UK) [.dta]

Syntaxfile (SPSS) [.sps]
Syntaxfile (Stata) [.do]

How to generate infl_weight (SPSS) [.sps] [.sav]
How to generate infl_weight (SPSS without UK) [.sps] [.sav]
How to generate infl_weight (Stata) [.do] [.dta]
How to generate infl_weight (Stata without UK) [.do] [.dta]

How to generate ppps (SPSS) [.sps] [.sav]
How to generate ppps (SPSS without UK) [.sps] [.sav]
How to generate ppps (Stata) [.do] [.dta]
How to generate ppps (Stata without UK) [.do] [.dta]

This tool was produced as part of the Data without Boundaries project.

Standard error estimates

Author Anika Herter & Heike Wirth
Description SPSS-files that prepare the sample design variables for the EU-SILC cross-sectional data (2010-2014).
Download [.zip]
Papers
  • Herter, A. and Wirth, H. (2018): 'EU-SILC Tools: Calculating Standard Errors for EU-SILC using SPSS.' [GESIS Papers 2018|16]



Author Johannes Gussenbauer
Description The R-Package surveysd: Estimating standard errors for Complex Surveys with a Rotating Panel Design.
Download [link]
Papers
  • Gussenbauer, J. (2020): 'Estimating standard errors for Complex Surveys with a Rotating Panel Design' [.pdf].



Author Tim Goedemé
Description Stata do-files that prepare the sample design variables for the EU-SILC cross-sectional data (2005-2011).
Download [link]
Papers
  • 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, in Social Indicators Research, 110(1): 89-110 [link].
  • 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].
  • 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., Betti, G. and Gagliardi, F. (2010): An assessment of survey errors in EU-SILC, Eurostat methodologies and working papers, Eurostat, Luxembourg [ .pdf].

Data Handling in EU-SILC

Author Alexander Mack
Description Technical report on data handling in EU-SILC. The SPSS and Stata files can be downloaded below.
Download Technical Report [.pdf]
Syntaxfile (SPSS) [.sps]
Syntaxfile (Stata) [.do]