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Bilevel Comparative Regional Analysis - Performances in Structural Grid

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Author Info

  • Giuseppe Eusepi

    ()
    (Facoltà di Economia, Dipartimento di Economia Pubblica, Università degli Studi di Roma “La Sapienza”)

  • Alessandra Cepparulo

    ()
    (Facoltà di Economia, Dipartimento di Economia Pubblica, Università degli Studi di Roma “La Sapienza”)

  • Flavio Verrecchia

    ()
    (Facoltà di Economia, Dipartimento di Economia Pubblica, Università degli Studi di Roma “La Sapienza”)

Abstract

Il metodo proposto mira ad analizzare il contesto regionale europeo (UE 15), in base agli indicatori introdotti nel Rapporto di Primavera 2004, disponibili a livello regionale, e usati a livello europeo per valutare i progressi compiuti dai diversi paesi ed in questo caso per evidenziare le best practises ed identificare gruppi regionali omogenei rispetto ai quali svolgere comparazioni. A tal fine si propone un nuovo metodo di analisi comparativa regionale i.e. Bilevel Comparative Regional Analysis - Performances in Structural Grid (BiCRA-PSG) volto a superare le problematiche di natura comparativa causate dall’eterogeneità delle unità statistiche considerate e alternativa rispetto alle insoddisfacenti proposte fino ad ora adottate.

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Bibliographic Info

Paper provided by ESeC - Economic Statistics no-profit Association in its series Working Papers with number 001.

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Length: 26 pages
Date of creation: Aug 2007
Date of revision:
Handle: RePEc:est:wpaper:001

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Web page: http://www.economicstatistics.eu/wp/pdf/
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Related research

Keywords: Regional Economic Activity; Comparative Analysis; European Regional policy; Factor Analysis; Cluster Analysis;

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Cited by:
  1. Antonio Anselmi & Paola Maddalena Chiodini & Flavio Verrecchia, 2008. "ESeC-Rubin Missing Value Interpretation for a Regional Bottom-Up Hierarchical Forecasting," Working Papers 002, ESeC - Economic Statistics no-profit Association.

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