Multidimensional poverty measurement with individual preferences
Autor: | Marc Fleurbaey, Koen Decancq, François Maniquet |
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Přispěvatelé: | UCL - SSH/LIDAM/CORE - Center for operations research and econometrics |
Rok vydání: | 2019 |
Předmět: |
Organizational Behavior and Human Resource Management
Class (set theory) Sociology and Political Science Economics jel:D63 050109 social psychology Consistency (negotiation) Sociology multidimensional poverty measurement 0502 economics and business Econometrics multidimensional poverty measurement preferences 0501 psychology and cognitive sciences Fraction (mathematics) 050207 economics preferences Axiom 050205 econometrics Poverty Welfare economics jel:D71 05 social sciences 1. No poverty Pareto principle Identification (information) 8. Economic growth Survey data collection General Economics Econometrics and Finance Inequity aversion |
Zdroj: | The Journal of Economic Inequality, Vol. 17, no.1, p. 29-49 (2019) The Journal of economic inequality |
ISSN: | 1573-8701 1569-1721 |
Popis: | We propose a new approach to multidimensional poverty measurement. To aggregate and weight the different dimensions of poverty, we rely on the preferences of the concerned individuals rather than on an arbitrary weighting scheme selected by the analyst. We provide an axiomatic characterization of an approach in which multidimensional poverty measures add up individual indices of poverty based on their multidimensional outcomes and their preferences. We discuss two families of these individual indices of poverty: quantity metrics and money metrics. Members of the first family evaluate individual poverty by the fraction of the poverty line vector to which the individual is indifferent. The second family considers the ratio between the income to which the individual is indifferent, for some fixed price vector, and the money value of the poverty line vector. We illustrate our approach with Russian survey data between 1995 and 2005. We find that, compared to standard poverty indices, our preference-sensitive indices lead to considerable differences in the identification of the poor. |
Databáze: | OpenAIRE |
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