Measuring welfare, inequality and poverty with ordinal variables

Jacques Silber and Gaston Yalonetzky

No 962, GLO Discussion Paper Series from Global Labor Organization (GLO)

Abstract: The key challenge in making distributional comparisons with ordinal data is the lack of commensurability of the distances between the ordered categories. This chapter provides a critical review of the most recent theoretical developments addressing this challenge and providing methods for ethical poverty, welfare, and inequality comparisons with univariate ordered multinomial distributions.

Keywords: inequality; ordinal variables; partial ordering; poverty; welfare (search for similar items in EconPapers)
JEL-codes: D31 D63 I31 I32 (search for similar items in EconPapers)
Date: 2021
New Economics Papers: this item is included in nep-ecm and nep-ltv
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:glodps:962

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