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dc.contributor.authorWirth, Heikede
dc.date.accessioned2023-01-13T13:38:02Z
dc.date.available2023-01-13T13:38:02Z
dc.date.issued2023de
dc.identifier.issn2364-3781de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/83962
dc.description.abstractEuropean inequality research often follows the tradition of using occupational based categorical classification to identify the socioeconomic position of individuals or households (e.g., classes, strata, milieus, occupational groups). In the past, European studies have often used the Erikson-Goldthorpe-Portocarero class (EGP) scheme (cf. Erikson & Goldthorpe 1992). However, the EGP scheme has only been validated for Great Britain (cf. Evans 1992). Variants for other countries are largely based on informed plausibility, following the British model, though operationalisation may vary by country. As an alternative to the EGP, two other currently available categorical concepts are the ESeC (European Socioeconomic Classification) and the ESeG (European Socioeconomic Groups), both based on the International Standard Classification of Occupation (ISCO). Both concepts are intended to improve cross-country comparative analysis of social inequality in Europe. However, the ESeC and ESeG differ in their theoretical basis and should not be confused with each other, and the ESeC and ESeG also cannot readily be transferred into each other. The ESeC is available for ISCO-88 (ESeC88) and ISCO-08 (ESeC08). The ESeG is available for ISCO-08. In this paper, we focus on the operationalisation of ESeC with EU-SILC cross-sectional data (2004-2020). Alongside this report, we have published syntax files (SPSS, Stata, and R) which can be used for the operationalisation of ESeC and ESeG.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherEU-SILC; European Socioeconomic Classification; ESeC; ESeC88; ESeC08; European Socioeconomic Groups; ESeG; EU-LFSde
dc.titleEU-SILC Tools: European Socioeconomic Classification - ESeC88 and ESeC08de
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.volume2023/01de
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.thesozUngleichheitde
dc.subject.thesozinequalityen
dc.subject.thesozsozioökonomische Lagede
dc.subject.thesozsocioeconomic positionen
dc.subject.thesozEuropade
dc.subject.thesozEuropeen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozDatenaufbereitungde
dc.subject.thesozdata preparationen
dc.subject.thesozKlassifikationde
dc.subject.thesozclassificationen
dc.subject.thesozvergleichende Forschungde
dc.subject.thesozcomparative researchen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10041153
internal.identifier.thesoz10058210
internal.identifier.thesoz10042879
internal.identifier.thesoz10040547
internal.identifier.thesoz10040524
internal.identifier.thesoz10048972
internal.identifier.thesoz10068092
dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo51de
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.83962
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review2
internal.identifier.series919
ssoar.wgl.collectiontruede
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ssoar.urn.registrationfalsede
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