TY - BOOK
T1 - Communicating the uncertainty of synthetic indicators: a reassessment of the HDI ranking
AU - Luzzati, Tommaso
AU - Cheli, Bruno
AU - GUCCIARDI, GIANLUCA
PY - 2017
Y1 - 2017
N2 - Composite indicators convert information about different facets of a given phenomenon into a single figure. Unavoidably, the “conversion process” involves a high level of arbitrariness, which, in general, makes the results not robust. The approach to composite indicators used in this paper aims at mitigating this problem and makes final users more aware of the unavoidable uncertainty of the results (e.g. rankings) based on a given composite. We illustrate our approach by applying it to the Human Development Index.
AB - Composite indicators convert information about different facets of a given phenomenon into a single figure. Unavoidably, the “conversion process” involves a high level of arbitrariness, which, in general, makes the results not robust. The approach to composite indicators used in this paper aims at mitigating this problem and makes final users more aware of the unavoidable uncertainty of the results (e.g. rankings) based on a given composite. We illustrate our approach by applying it to the Human Development Index.
KW - Human Development Index
KW - complexity
KW - composite indicators
KW - robustness
KW - uncertainty analysis
KW - Human Development Index
KW - complexity
KW - composite indicators
KW - robustness
KW - uncertainty analysis
UR - https://iris.uniupo.it/handle/11579/205845
M3 - Book
VL - 228
BT - Communicating the uncertainty of synthetic indicators: a reassessment of the HDI ranking
PB - Università degli Studi di Pisa
ER -