This paper follows the research mainstream aimed to link the efficiency frontier approaches and the composite indicators (CI) methods. More in detail, the main drawbacks of the CI methods based on Benefit of the Doubt (BoD) approach are the sensitivity to the outliers, the perfect compensability and the lack of consideration about the marginal rate of substitution between simple indicators. Following Simar and Vanhems (J Econ 166(2):342–354, 2012) results, we propose a weighting method that bypassing all previous shortcomings suggests a comprehensive approach to construct robust and non-compensatory composite indicators. This approach is based on the integration of BoD by a directional distance function. In order to better highlight the advantages and limitations of our approach we present two applications: in the first one we test our approach on simulated data, while in the second one we consider the supply level of the Italian national health service with the aim to analyse the regional differences and verify the robustness of the results.

Non-compensability in Composite Indicators: A Robust Directional Frontier Method / Francesco, Vidoli; Fusco, Elisa; Claudio, Mazziotta. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2014). [10.1007/s11205-014-0710-y]

Non-compensability in Composite Indicators: A Robust Directional Frontier Method

FUSCO, ELISA;
2014

Abstract

This paper follows the research mainstream aimed to link the efficiency frontier approaches and the composite indicators (CI) methods. More in detail, the main drawbacks of the CI methods based on Benefit of the Doubt (BoD) approach are the sensitivity to the outliers, the perfect compensability and the lack of consideration about the marginal rate of substitution between simple indicators. Following Simar and Vanhems (J Econ 166(2):342–354, 2012) results, we propose a weighting method that bypassing all previous shortcomings suggests a comprehensive approach to construct robust and non-compensatory composite indicators. This approach is based on the integration of BoD by a directional distance function. In order to better highlight the advantages and limitations of our approach we present two applications: in the first one we test our approach on simulated data, while in the second one we consider the supply level of the Italian national health service with the aim to analyse the regional differences and verify the robustness of the results.
2014
Composite indicators; Non-compensability; Directional distance functions; Benefit of the Doubt; Italian public health service
01 Pubblicazione su rivista::01a Articolo in rivista
Non-compensability in Composite Indicators: A Robust Directional Frontier Method / Francesco, Vidoli; Fusco, Elisa; Claudio, Mazziotta. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2014). [10.1007/s11205-014-0710-y]
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/667634
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 38
  • ???jsp.display-item.citation.isi??? 37
social impact