The epsilon-Gini-contamination multiple priors model admits a linear-mean-standard-deviation utility representation

We introduce the ε-Gini-contamination multiple priors model in which the set of priors are those probability measures that are 'close' to a central P with respect to the relative Gini concentration index. We show that such preferences can be represented by a linear-mean-standard-deviation utility function on a restricted domain.