Measuring Inequality of Well-Being with a Correlation-Sensitive Multidimensional Gini Index
We propose to measure inequality of well-being with a multidimensional generalization of the Gini coefficient.� We derive two inequality indices from their underlying social evaluation functions.� These functions are conceived as a double aggregation functions: one across the dimensions of well-being, and another across the individuals.� They differ only with respect to the sequencing of aggregations.� We argue that the sequencing that does not exclude the Gini index to be sensitive to the correlation between the dimensions is more attractive.� We illustrate both Gini indices using Russian household data on three dimensions of well-being: expenditure, health and education.
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