Multivariate Discrete First Order Stochastic Dominance

This paper characterizes the principle of first order stochastic dominance in a multivariate discrete setting. We show that a distribution f first order stochastic dominates distribution g if and only if f can be obtained from g by iteratively shifting density from one outcome to another that is better. For the bivariate case, we develop the theoretical basis for an algorithmic dominance test that is easy to implement.

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Year of publication:	2007-10
Authors:	Tarp, Finn ; Østerdal, Lars Peter
Institutions:	Økonomisk Institut, Københavns Universitet
Subject:	multidimensional first degree distributional dominance \| robust poverty gap dominance \| majorization \| generalized equivalence result

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Extent:	application/pdf
Series:	Discussion Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 07-23 23 pages
Classification:	D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement ; I32 - Measurement and Analysis of Poverty ; O15 - Human Resources; Income Distribution; Migration
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005749727