
There are a few articles on inequality measurement which deal with uncertainty, particularly when the ranking of cohorts may not be fixed. The authors of the present paper give a set of axioms implying such a class of inequality measures under uncertainty that is one-parameter extension of the generalized Gini mean over the distribution of average allocations. The extension consists of a quadratic term accounting for inter-personal correlations. In particular, presented measure can simultaneously accommodate a preference for ``shared destiny'', a preference for probabilistic mixtures over unfair allocations, and a preference for fairness ``for sure'' over fairness in expectation.
Risk, Social welfare, Other regarding, 330, Uncertainty, Social choice, Decision theory, Individual preferences, Group preferences, Preference, Welfare economics, Income inequality, utility theory, uncertainty, other regarding, preference, Utility theory, social welfare, income inequality, risk
Risk, Social welfare, Other regarding, 330, Uncertainty, Social choice, Decision theory, Individual preferences, Group preferences, Preference, Welfare economics, Income inequality, utility theory, uncertainty, other regarding, preference, Utility theory, social welfare, income inequality, risk
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
