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?:abstract
  • One of the main actions foreseen by the current process of modernization of social statistics within the ESS is the streamlining of social surveys in order to enable their complementary use. In the frame of these new developments, model based techniques are explored with the aim of meeting new demands through a better exploitation of existing data sources. This paper focuses on the estimation of regional poverty indicators based on the integration of information from two social surveys: SILC and LFS. EUSILC is the reference source for poverty indicators, but in several countries regional estimates are not of adequate precision due to the small sample size. In practice, this exercise aims to draw on the larger sample size of LFS for providing poverty estimates for areas where SILC on its own, is not sufficient to provide a valid estimate. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2011 (xsd:gyear)
?:datePublished
  • 2011 (xsd:gyear)
?:duplicate
?:fromPage
  • 16 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
is ?:mainEntity of
?:name
  • Statistical matching: a case study on EU-SILC and LFS (xsd:string)
?:publicationType
  • inproceedings (xsd:string)
?:sourceInfo
  • 16, 2011 (xsd:string)
  • Bibsonomy (xsd:string)
?:studyGroup
  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2011 (xsd:string)
  • FDZ_GML (xsd:string)
  • SILC (xsd:string)
  • SILC_input2020 (xsd:string)
  • SILC_pro (xsd:string)
  • checked (xsd:string)
  • imported (xsd:string)
  • inproceedings (xsd:string)
  • jak (xsd:string)
?:toPage
  • 16 (xsd:string)
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?:url