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?:abstract
  • NEET trajectories are generally analyzed in relation to macro elements such as labor market characteristics and, less often, micro-level dimensions such as the characteristics of a person’s family of origin. Employing EU-SILC 2019 data, we analyzed the relation between micro-level dimensions, with an emphasis on the level of education of parents, and NEET status in four EU countries: Italy, Ireland, Lithuania, and Romania. The results show that NEET status in all four countries is the combined result of factors related to socio-familial, economic, and cultural origin, where the level of education of the parents plays a central role. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2024 (xsd:gyear)
?:datePublished
  • 2024 (xsd:gyear)
?:doi
  • 10.26412/psr227.04 ()
?:fromPage
  • 269 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:isPartOf
?:issn
  • 12311413 ()
?:issueNumber
  • 3 (xsd:string)
?:name
  • The Intergenerational Transmission of NEETs Status: A Comparative Analysis of Italy, Ireland, Lithuania, and Romania (xsd:string)
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  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Polish Sociological Review, 227(3), 269-290, 2024 (xsd:string)
?:studyGroup
  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2024 (xsd:string)
  • FDZ_GML (xsd:string)
  • SCOPUSindexed (xsd:string)
  • SILC (xsd:string)
  • SILC_input2024 (xsd:string)
  • SILC_pro (xsd:string)
  • SSCIindexed (xsd:string)
  • article (xsd:string)
  • english (xsd:string)
  • indexproved (xsd:string)
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  • review_proved (xsd:string)
  • transfer24 (xsd:string)
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  • 290 (xsd:string)
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?:volumeNumber
  • 227 (xsd:string)