Multivariate Discrete First Order Stochastic Dominance
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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 language | English |
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Publisher | Department of Economics, University of Copenhagen |
Number of pages | 25 |
Publication status | Published - 2007 |
- Faculty of Social Sciences - multidimensional first degree distributional dominance, robust poverty gap dominance, majorization, generalized equivalence result
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ID: 1337736