We study distributional preferences in larger "societies". We conduct experiments via Mechanical Turk, in which subjects choose between two income distributions, each with seven (or more) individuals, with hypothetical incomes that aim to approximate the actual distribution of income in the United States. In contrast to prior work, our design allows us to flexibly capture the particular distributional concerns of subjects. Consistent with standard maximin (Rawlsian) preferences, subjects select distributions in which the bottom individual's income is higher (but show little regard for lower incomes above the bottom ranking). In contrast to standard models, however, we find that subjects select distributions that lower the top individual's income, but not other high incomes. Finally, we provide evidence of "locally competitive"preferences-in most experimental sessions, subjects select distributions that lower the income of the individual directly above them, whereas the income of the individual two positions above has little effect on subjects' decisions. Our findings suggest that theories of inequality aversion should be adapted to account for individuals' aversion to "topmost"and "local"disadvantageous inequality.
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)