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Stochastic Dominance with Ordinal Variables: Conditions and a Test

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  • Gaston Yalonetzky

Abstract

A re-emerging literature on robustness in multidimensional welfare and poverty comparisons has revived interest in multidimensional stochastic dominance. Considering the widespread use of ordinal variables in wellbeing measurement, and particularly in composite indices, I derive multivariate stochastic dominance conditions for ordinal variables. These are the analogues of the conditions for continuous variables (e.g., Bawa, 1975, and Atkinson and Bourguignon, 1982). The article also derives mixed-order-of-dominance conditions for any type of variable. Then I propose an extension of Anderson's nonparametric test in order to test these conditions for ordinal variables. In addition, I propose the use of vectors and matrices of positions in order to handle multivariate, multinomial distributions. An empirical application to multidimensional wellbeing in Peru illustrates these tests.

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File URL: http://hdl.handle.net/10.1080/07474938.2012.690653
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Econometric Reviews.

Volume (Year): 32 (2013)
Issue (Month): 1 (January)
Pages: 126-163

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Handle: RePEc:taf:emetrv:v:32:y:2013:i:1:p:126-163

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Cited by:
  1. Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," Journal of Economic Inequality, Springer, vol. 9(2), pages 289-314, June.
  2. Gaston Yalonetzky, 2012. "Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables," Working Papers 257, ECINEQ, Society for the Study of Economic Inequality.
  3. Andrew M. Jones; Nigel Rice, Silvana Robone; & Nigel Rice; & Silvana Robone:, 2012. "A comparison of parametric and non-parametric adjustments using vignettes for self-reported data," Health, Econometrics and Data Group (HEDG) Working Papers 12/10, HEDG, c/o Department of Economics, University of York.
  4. Chrysanthi Hatzimasoura & Christopher J. Bennett, 2011. "Poverty Measurement with Ordinal Data," Working Papers 2011-14, The George Washington University, Institute for International Economic Policy.
  5. Gaston Yalonetzky, 2011. "Conditions for the Most Robust Poverty Comparisons Using the Alkire-Foster Family of Measures," OPHI Working Papers ophiwp044b, Queen Elizabeth House, University of Oxford.
  6. Gaston Yalonetzky, 2012. "Poverty measurement with ordinal variables: A generalization of a recent contribution," Working Papers 246, ECINEQ, Society for the Study of Economic Inequality.

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