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[journal article]

dc.contributor.authorLoichinger, Elkede
dc.date.accessioned2021-04-29T07:37:54Z
dc.date.available2021-04-29T07:37:54Z
dc.date.issued2015de
dc.identifier.issn2363-7064de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/72851
dc.description.abstractBackground: One expected consequence of population aging in Europe is the shrinkage of the labor force. Most existing labor force projections allow only inferences about the size and age structure of the future labor force. Objective: In comparison to existing labor force projections, which disaggregate only by age and sex, these projections include information about the highest level of educational attainment (tertiary vs. non-tertiary education), so that an additional level of heterogeneity in labor force participation is considered. This heterogeneity enters the projection methodology through population projection data as well as labor force participation data, since both components are decomposed in the three dimensions of age, sex, and education. Based on data from the European Labor Force Survey (EU LFS), three scenarios were designed to project the economically active population for 26 EU countries up to 2053. Results: Adding the educational dimension to labor force projections discloses a significant shift towards tertiary education degrees between 2008 and 2053. This educational upgrading of the European labor force is not driven by developments in a few large countries but can be expected to take place in each of the 26 analyzed countries. Conclusions: A better educated but shrinking labor force is likely to be able to alleviate some of the anticipated economic consequences of population aging. The presented projections of education-specific labor supply can serve as inputs into forecasts of economic growth that include educational differentials in labor productivity.de
dc.languageende
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherlabor force projections; EU-LFSde
dc.titleLabor force projections up to 2053 for 26 EU countries, by age, sex, and highest level of educational attainmentde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalDemographic Research
dc.source.volume32de
dc.publisher.countryDEU
dc.source.issue15de
dc.subject.classozArbeitsmarktforschungde
dc.subject.classozLabor Market Researchen
dc.subject.classozDemographie, Bevölkerungswissenschaftde
dc.subject.classozDemographyen
dc.subject.thesozHumankapitalde
dc.subject.thesozhuman capitalen
dc.subject.thesozEUde
dc.subject.thesozEUen
dc.subject.thesozArbeitskräftede
dc.subject.thesozmanpoweren
dc.subject.thesozPrognosede
dc.subject.thesozprognosisen
dc.subject.thesozAlterde
dc.subject.thesozold ageen
dc.subject.thesozGeschlechtde
dc.subject.thesozgenderen
dc.subject.thesozBildungsniveaude
dc.subject.thesozlevel of educationen
dc.subject.thesozAlternde
dc.subject.thesozagingen
dc.subject.thesozErwerbsbevölkerungde
dc.subject.thesozlabor forceen
dc.subject.thesozProduktivitätde
dc.subject.thesozproductivityen
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 2.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 2.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo443-486de
internal.identifier.classoz20101
internal.identifier.classoz10300
internal.identifier.journal1451
internal.identifier.document32
internal.identifier.ddc330
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.4054/DemRes.2015.32.15de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence30
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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