2013
DOI: 10.1080/00036846.2012.667553
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A matrix approach to the Gini index decomposition by subgroup and by income source

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Cited by 17 publications
(11 citation statements)
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“…(1) can be expressed in matrix form by following the approach proposed by (Mussini 2013a) for the measurement of income inequality. For this purpose, the following notation is used.…”
Section: Preliminaries and Notationmentioning
confidence: 99%
See 1 more Smart Citation
“…(1) can be expressed in matrix form by following the approach proposed by (Mussini 2013a) for the measurement of income inequality. For this purpose, the following notation is used.…”
Section: Preliminaries and Notationmentioning
confidence: 99%
“…This decomposition clearly separates the roles of population change and per capita CO 2 emission change. To derive the matrix decomposition, we follow the matrix approach proposed by Mussini for decomposing the Gini index by subgroup and source (Mussini, 2013a). This requires the generalization of the Mussini matrix approach to take into account the population shares representing the weighting system to be used when calculating the inequality index.…”
Section: Introductionmentioning
confidence: 99%
“…income class, gender, geographical area, etc.). The subgroup decomposition is developed using the matrix approach proposed by Mussini (2013) for the multidimensional decomposition of the Gini index (Mussard, 2004;Mussard and Savard, 2012).…”
Section: Introductionmentioning
confidence: 99%
“…The SHIW is carried out every two years, and each survey sample comprises households interviewed for the first time and households interviewed in previous surveys (panel households). The SHIW data is one of the most frequently used information source to investigate income inequality in Italy (Mussini, 2013;Zenga 2007), since the survey collects information on income and socioeconomic status for every household member. The sample size of the 2010 survey is 7,951 households, including 19,836 individuals.…”
Section: Application To Income Datamentioning
confidence: 99%