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dc.contributor.authorBorst, Marwinde
dc.contributor.authorWirth, Heikede
dc.date.accessioned2022-07-14T06:09:34Z
dc.date.available2022-07-14T06:09:34Z
dc.date.issued2022de
dc.identifier.issn2364-3781de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/79965
dc.description.abstractThe European Union Statistics on Income and Living Conditions (EU-SILC) covers a wide array of variables collected from households by the Member States. Among others, EU-SILC contains panel data that follows a rotational design. Each year, Eurostat publishes a series of separate datasets covering only up to 4 years, even though it has been collecting data since 2003. "eusilcpanel" is a script written by Marwin Borst (download: https://www.gesis.org/gml/european-microdata/eu-silc/) in the form of a Stata package (eusilcpanel.ado; eusilcpanel.sthlp; totalpopulation.dta), that is able to merge these chunks of data into one cumulative dataset (separately for the D-,H-,R-, and P-data). The script makes the EU-SILC panel more accessible to researchers in the vast majority of cases, but it can’t deal with data from all countries. eusilcpanel_2020 (incl. eusilcpanel_2020.ado; eusilcpanel.sthlp; totalpopulation_2003_2021.dta) is an update of eusilcpanel. It covers the EU-SILC longitudinal releases 2005 to 2020. Both, eu-silcpanel and eusilcpanel_2020 can be downloaded here: https://www.gesis.org/en/missy/materials/EU-SILC/tools/datahandling or here https://www.gesis.org/gml/european-microdata/eu-silc => eusilcpanel - UPDATE (2022). The original script was based on CSV data. However, since 2017 the CSV files are released by country and year. The CSV data are sometimes subject to noise, therefore eusilcpanel_2020 is based on ‘cleaned’ Stata system files (based on Stata scripts provided by GESIS https://www.gesis.org/en/missy/materials/EU-SILC/setups). Please note, as from 2021, the EU-SILC panel design was extended on a voluntary basis to a six-year rotational panel design. However, at the time of updating this paper (2022) the longitudinal Scientific-Use-Files still cover only up to 4 years.en
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.titleEU-SILC Tools: eusilcpanel_2020 - first computational steps towards a cumulative sample based on the EU-SILC longitudinal datasets; Updatede
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume2022/10de
dc.publisher.countryDEUde
dc.publisher.cityKölnde
dc.source.seriesGESIS Papers
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozEUen
dc.subject.thesozDatengewinnungde
dc.subject.thesozincomeen
dc.subject.thesozpanelen
dc.subject.thesozdata preparationen
dc.subject.thesozcomparisonen
dc.subject.thesozLebensbedingungende
dc.subject.thesozEinkommende
dc.subject.thesozPanelde
dc.subject.thesozliving conditionsen
dc.subject.thesozdata captureen
dc.subject.thesozVergleichde
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozEUde
dc.rights.licenceCreative Commons - Attribution-NonCommercial 4.0en
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 4.0de
ssoar.contributor.institutionGESISde
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dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo21de
internal.identifier.classoz10105
internal.identifier.document3
dc.contributor.corporateeditorGESIS - Leibniz-Institut für Sozialwissenschaften
internal.identifier.corporateeditor133
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.21241/ssoar.79965
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
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