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The geometry of distributional preferences and a non-parametric identification approach: The Equality Equivalence Test

2015/02/18 by Rudolf Kerschbamer · 125 citations
Decision Sciences · Economics, Econometrics and Finance · Mathematics · Social Sciences · #Archetype #Computer science #Context (archaeology) #Core (optical fiber) #Decision-Making and Behavioral Economics #Discrete mathematics #Econometrics #Economic and Environmental Valuation #Equivalence (formal languages) #Experimental Behavioral Economics Studies #Identification (biology) #Mathematical economics #Mathematics #Parametric model #Parametric statistics #Preference #Set (abstract data type) #Statistics

paper · doi:10.1016/j.euroecorev.2015.01.008

published in European Economic Review 76, 85-103 (Elsevier BV)

openalex publication_date 2015/02/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/02

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; 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.

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