The geometry of distributional preferences and a non-parametric identification approach

Abstract

This paper proposes a geometric delineation of distributional preference types and a non-parametric approach for their identification in a two-person context.It starts with a small set of assumptions on preferences and shows that this set (i) naturally results in a taxonomy of distributional archetypes that nests all empirically relevant types considered in previous work in economics and social psychology; and (ii) gives rise to a clean experimental test design that discriminates between archetypes according to core features of preferences rather than properties of specific modelling variants.As a by-product the test yields a two-dimensional index of preference intensity.

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