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Pro-poor growth in a multidimensional context

In: Research Handbook on Measuring Poverty and Deprivation

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  • Florent Bresson

Abstract

This chapter shows how multidimensional stochastic dominance techniques can be used to test growth pro-poorness when poverty is assessed using the joint distribution of income and of non-income well-being attributes. Main issues with respect to this exercise are related to the definition of the benchmark scenario against which observed changes are compared.

Suggested Citation

  • Florent Bresson, 2023. "Pro-poor growth in a multidimensional context," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 55, pages 594-603, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:20574_55
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