Substitutability vs. complementarity: Rethinking STI composite indicators building with an application of sensitivity analysis (Contributo in atti di convegno)

Type
Label
  • Substitutability vs. complementarity: Rethinking STI composite indicators building with an application of sensitivity analysis (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.sbspro.2010.05.153 (literal)
Alternative label
  • Cerulli, Giovanni; Filippetti, Andrea (2010)
    Substitutability vs. complementarity: Rethinking STI composite indicators building with an application of sensitivity analysis
    in SAMO 2010
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cerulli, Giovanni; Filippetti, Andrea (literal)
Pagina inizio
  • 7633 (literal)
Pagina fine
  • 7635 (literal)
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  • http://www.scopus.com/record/display.url?eid=2-s2.0-77954986675&origin=inward (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2 (literal)
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  • 2 (literal)
Rivista
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  • 6 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Consiglio Nazionale delle Ricerche; Istituto Di Ricerche Sulla Popolazione E Le Politiche Sociali, Rome (literal)
Titolo
  • Substitutability vs. complementarity: Rethinking STI composite indicators building with an application of sensitivity analysis (literal)
Abstract
  • The paper challenges the common view that the arithmetic mean aggregation's rule for building STI indicators is the fairest approach. We argue, on the contrary, that it hides a silent \"substitution assumption\" among the sub-indicators involved. According to this perspective Casadio and Palazzi (2004) provided a new composite indicator based on a \"concave mean\". This approach overcomes the \"substitution bias\" generated by the arithmetic aggregation. As the concave mean is a highly non-linear formula, the paper provides a Sensitivity Analysis (as suggested by Saltelli et al., 2004) to detect sub-indexes importance in this special case. We perform an application to a specific STI indicator comparing results from the concave mean and other aggregation rules. (literal)
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