Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/195455
Authors: 
Giorgi, Giovanni M.
Guandalini, Alessio
Year of Publication: 
2018
Citation: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 6 [Year:] 2018 [Issue:] 2 [Pages:] 1-16
Abstract: 
Additive decomposability is an interesting feature of inequality indices which, however, is not always fulfilled; solutions to overcome such an issue have been given by Deutsch and Silber (2007) and by Di Maio and Landoni (2017). In this paper, we apply these methods, based on the 'Shapley value' and the 'balance of inequality' respectively, to the Bonferroni inequality index. We also discuss a comparison with the Gini concentration index and highlight interesting properties of the Bonferroni index.
Subjects: 
inequality measurement
Bonferroni index
Gini concentration ratio
decomposition methods
Shapley value
balance of inequality
complex survey data
JEL: 
D63
C71
I32
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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