Measuring welfare, inequality and poverty with ordinal variables

Jacques Silber and Gaston Yalonetzky

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.

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Year of publication:	2021
Authors:	Silber, Jacques ; Yalonetzky, Gastón
Publisher:	Essen : Global Labor Organization (GLO)
Subject:	inequality \| ordinal variables \| partial ordering \| poverty \| welfare \| Armut \| Poverty \| Einkommensverteilung \| Income distribution \| Theorie \| Theory \| Soziale Wohlfahrtsfunktion \| Social welfare function \| Konzentrationsmaß \| Concentration measurement \| Wohlfahrtsanalyse \| Welfare analysis \| Messung \| Measurement \| Soziale Ungleichheit \| Social inequality \| Sozialer Indikator \| Social indicator