Sufficient Conditions for j'th Order Stochastic Dominance for Discrete Cardinal Variables, and Their Formulae

Gordon Anderson and Teng Wah Leo ()

Working Papers from University of Toronto, Department of Economics

Abstract: In response to the increasing use of discrete cardinal data with limited numbers of outcomes, Stochastic Dominance Theory is here extended to facilitate its application. Formulae, convenient for analysis, along with necessary and sufficient conditions for different orders of dominance are derived which reveal some key facts which have eluded general attention. In this paradigm, there is a loss of degrees of freedom as the dominance order increases with a concomitant upper bound to the order of dominance that can be considered, both engendered by the restrictions on finite differences between utility functions and the limited number of outcomes. Simple formulae for computing successive sums of cumulative distributions are found, and the relationship between lower and higher order dominance is proven in this discrete cardinal case.

Keywords: Stochastic Dominance; Discrete Variables; Cardinal Variables (search for similar items in EconPapers)
JEL-codes: C14 D63 I32 (search for similar items in EconPapers)
Pages: Unknown pages
Date: 2021-09-01
New Economics Papers: this item is included in nep-isf, nep-ore and nep-upt
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Citations: View citations in EconPapers (3)

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Journal Article: Sufficient conditions for jth order stochastic dominance for discrete cardinal variables, and their formulae (2021)
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