PropertyValue
?:abstract
  • The construction of socio-economic well-being indicators to represent reality in the most accurate way constitutes an important challenge in the production of statistics, as recognized by prestigious international organizations. The production of different harmonized surveys in the last years allows us to have enough empirical data that offer an interesting opportunity to try to refine, if possible, the existing classic models of indicators compilation. Putting the attention on one of the aspect with greater degree of complexity-its current paradigm of objective measurement of poverty-the main elements and approaches are analysed and the following three specific issues are addressed: Equivalization, Thresholds, Multidimensional approach... (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2020 (xsd:gyear)
?:datePublished
  • 2020 (xsd:gyear)
is ?:hasPart of
?:inLanguage
  • spanish (xsd:string)
is ?:mainEntity of
?:name
  • Data science applied to refining socio-economic indicators for decision-making (xsd:string)
?:publicationType
  • phdthesis (xsd:string)
?:sourceInfo
  • Bibsonomy (xsd:string)
?:studyGroup
  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
?:tags
  • 2020 (xsd:string)
  • FDZ_GML (xsd:string)
  • SILC (xsd:string)
  • SILC_input2020 (xsd:string)
  • SILC_pro (xsd:string)
  • checked (xsd:string)
  • imported (xsd:string)
  • jak (xsd:string)
  • phdthesis (xsd:string)
rdf:type
?:url