Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
In this article we show that the Gini coefficient is simultaneously decomposable both by sources of income and by populations of income receivers for nonoverlapping income distributions: the so-called first-best Gini multi-decomposition. We show that this multidimensional decomposition is useful for many reasons: (i) it is related to the degree of inequality aversion of the decision maker, (ii) it is especially well suited to study inequalities between poor and nonpoor people, (iii) it enables one to measure the impact of marginal tax reforms on within- and between-group inequalities, respectively.