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Sensitivity Analysis of Composite Indicators through Mixed Model Anova

  • Cristina Davino, Rosaria Romano

    (University of Macerata)

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    The paper proposes a new approach for analysing the stability of Composite Indicators. Starting from the consideration that different subjective choices occur in their construction, the paper emphasizes the importance of investigating the possible alternatives in order to have a clear and objective picture of the phenomenon under investigation. Methods dealing with Composite Indicator stability are known in literature as Sensitivity Analysis. In such a framework, the paper presents a new approach based on a combination of explorative and confirmative analysis aiming to investigate the impact of the different subjective choices on the Composite Indicator variability and the related individual differences among the statistical units as well.

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    Paper provided by Macerata University, Department of Studies on Economic Development (DiSSE) in its series Working Papers with number 32-2011.

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    Date of creation: Feb 2011
    Date of revision: Mar 2011
    Handle: RePEc:mcr:wpaper:wpaper00032
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