The geometry of distributional preferences and a non-parametric identification approach: The Equality Equivalence Test
用几何方法划分分配偏好类型，提出非参数识别方法“平等等价检验”，通过核心偏好特征区分不同偏好原型，并生成偏好强度的二维指标。
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; and (ii) gives rise to a clean experimental identification procedure – the Equality Equivalence Test – that discriminates between archetypes according to core features of preferences rather than properties of specific modeling variants. As a by-product the test yields a two-dimensional index of preference intensity.