Multivariate Discrete First Order Stochastic Dominance

Finn Tarp, Lars Peter Østerdal

913 Downloads (Pure)

Abstract

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
Original languageEnglish
PublisherDepartment of Economics, University of Copenhagen
Number of pages25
Publication statusPublished - 2007

Keywords

  • Faculty of Social Sciences
  • multidimensional first degree distributional dominance
  • robust poverty gap dominance
  • majorization
  • generalized equivalence result

Fingerprint

Dive into the research topics of 'Multivariate Discrete First Order Stochastic Dominance'. Together they form a unique fingerprint.

Cite this