Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus BASE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Sharpening the Welfare-Consistency of the Mainstream Multidimensional Poverty Identification Method, with Illustration on Nigerian Data

Title: Sharpening the Welfare-Consistency of the Mainstream Multidimensional Poverty Identification Method, with Illustration on Nigerian Data
Authors: Decerf, Benoit; Fonton, Kike
Publisher Information: Published by Oxford University Press on behalf of the World Bank
Publication Year: 2025
Collection: The World Bank: Open Knowledge Repository (OKR)
Description: In theory, accounting for nonmonetary dimensions can help sharpen the identification of the poor. In practice, data constraints on nonmonetary dimensions prevent researchers from using the welfare-consistent identification methods traditionally used in monetary poverty measurement. The pragmatic identification methods used when measuring multidimensional poverty are criticized for their lack of welfare-consistency (Ravallion 2011). This paper considers one solution that holds the potential to improve the welfare-consistency of these pragmatic identification methods and illustrates how this solution can be implemented in practice in the context of Nigeria in 2019. The empirical illustration suggests that this solution may substantially affect the identification of the multidimensionally poor. The results also find substantially different poverty comparisons between multidimensional poverty and monetary poverty even though monetary poverty: (1) is high in Nigeria in 2019, (2) is very heterogeneously distributed across Nigerian states, and (3) is integrated as one component of the multidimensional poverty measure.
Document Type: article in journal/newspaper
File Description: application/pdf; text/plain
Language: English
Relation: World Bank Economic Review; https://hdl.handle.net/10986/44162
DOI: 10.1093/wber/lhaf033
Availability: https://hdl.handle.net/10986/44162; https://openknowledge.worldbank.org/entities/publication/c4b3f2fe-2d06-4052-ad7a-c28f10398bbd; https://doi.org/10.1093/wber/lhaf033
Rights: CC BY 3.0 IGO ; https://creativecommons.org/licenses/by/3.0/igo/ ; World Bank
Accession Number: edsbas.50F15A85
Database: BASE