Arbeitspapier
Robustness tests for multidimensional poverty comparisons
This paper provides practical tests for the robustness of multidimensional comparisons of well-being. Focussing on counting-type multidimensional poverty measures, I draw on the properties of positive Boolean threshold functions to prove that the space of feasible poverty definitions is finite and can be partitioned into at most (D2 +D)/2 parts, where D is the number of dimensions of well-being spanned by the measure. This provides the foundation for two complementary tests: (i) a bounding approach, which weights each dimension equally; and (ii) stochastic search, where coverage of the space of poverty definitions is assessed via Good-Turing estimates of missing mass. The two methods are applied to a measure encompassing nine dimensions of well-being in Mozambique, revealing persistent regional asymmetries.
- ISBN
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978-92-9256-432-2
- Sprache
-
Englisch
- Erschienen in
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Series: WIDER Working Paper ; No. 2017/206
- Klassifikation
-
Wirtschaft
Measurement and Analysis of Poverty
Economywide Country Studies: Africa
Statistical Simulation Methods: General
- Thema
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multidimensional poverty
pointwise dominance
robustness
Mozambique
- Ereignis
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Geistige Schöpfung
- (wer)
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Jones, Sam
- Ereignis
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Veröffentlichung
- (wer)
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The United Nations University World Institute for Development Economics Research (UNU-WIDER)
- (wo)
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Helsinki
- (wann)
-
2017
- DOI
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doi:10.35188/UNU-WIDER/2017/432-2
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Jones, Sam
- The United Nations University World Institute for Development Economics Research (UNU-WIDER)
Entstanden
- 2017