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Metadata for Official Statistics

Data Handling & Analysis: EU-SILC

Author Barbara Binder, 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.

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]
Author Heike Wirth
Description ESeC - European Socioeconomic Classification in EU-SILC - Syntax: SPSS , stata, R
Download esec_silc_2004_2020_R [.zip]
esec_silc_2004_2020_stata [.zip]
esec_silc_2004_2020_spss [.zip]
More information

For details on ESeC please visit the homepage of Eric Harrison: https://www.ericharrison.co.uk/european-socio-economic-classification-esec.html

For ESeC in EU-SILC see also Tim Goedemé: https://timgoedeme.com/tools/esec-in-eu-silc/

Author Heike Wirth
Description

This syntax (SPSS; Stata; R) generates European Socio-Economic Groups (ESeG) based on ISCO08 for EU-SILC - cross-sectional and longitudinal data**) - using the P-File (personal data) & R-FILE (personal register data):

ESEG_1 (less detailed)

ESEG_2 (detailed)

**) Starting with EU-SILC longitudinal 2019 only ISCO-08 one-digit is available, therefore no ESeG is operationalized (yet).

Download eseg08_silc_2010_2020_cross_stata[.zip]
eseg08_silc_2010_2020_cross_spss[.zip]
eseg08_silc_2010_2020_cross_R.[.zip]
eseg08_silc_2010_2018_long_stata[.zip]
eseg08_silc_2010_2018_long_spss[.zip]
eseg08_silc_2010_2018_long_R[.zip]
Contact heike.wirth@gesis.org
More information

For details on ESeG please see:

Meron, Monique et al. (2014): Final Report of the ESSnet on the harmonisation and implementation of a European socio-economic classification: European Socio-economic Groups (ESeG)

Links:
[0] https://ec.europa.eu/eurostat/cros/content/eseg-report-technicaldocuments_en
[1] https://ec.europa.eu/eurostat/cros/system/files/ESEG-Report-TechnicalAnnexes_0.zip_en
[2] https://ec.europa.eu/eurostat/cros/content/eseg_en

Author Marwin Borst & Heike Wirth (GESIS)
Description eusilcpanel_2020: First computational steps towards a cumulative sample based on the EU-SILC longitudinal datasets - Update
Download ado [.ado]
population figures [.dta]
helpfile [.sthlp]
Technical report [.pdf]
Contact heike.wirth@gesis.org
Author Alexander Mack, Barbara Binder, 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.

Author Tim Goedemé
Description MetaSILC 2015 is both a report and a database that contains detailed information on the income variables in EU-SILC, the main source for statistics on income and living conditions in Europe, with a focus on the 2015 wave.
Link https://timgoedeme.com/tools/metasilc-2015/
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].