Data Handling & Analysis: EU-SILC
Author | Barbara Binder, Alexander Mack (GESIS) |
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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 | Heike Wirth |
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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 |
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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: |
Author | Alexander Mack, Barbara Binder, Valentina Ponomarenko (GESIS) |
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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 |
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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 |
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Description | SPSS-files that prepare the sample design variables for the EU-SILC cross-sectional data (2010-2014). |
Download | [.zip] |
Papers |
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Author | Johannes Gussenbauer |
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Description | The R-Package surveysd: Estimating standard errors for Complex Surveys with a Rotating Panel Design. |
Download | [link] |
Papers |
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Author | Tim Goedemé |
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Description | Stata do-files that prepare the sample design variables for the EU-SILC cross-sectional data (2005-2011). |
Download | [link] |
Papers |
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