Dutta, I, Nogales, R and Yalonetzky, G orcid.org/0000-0003-2438-0223 (2021) Endogenous Weights and Multidimensional Poverty: A Cautionary Tale. Journal of Development Economics, 151. 102649. ISSN 0304-3878
Abstract
Multidimensional poverty measures have become a standard feature in poverty assessments. A large and growing body of work uses endogenous (data driven) weights to compute multidimensional poverty. We demonstrate that broad classes of endogenous weights violate key properties of poverty indices such as monotonicity and subgroup consistency, without which poverty evaluation and policy targeting are seriously compromised. Using data from Ecuador and Uganda we show that these violations are widespread. Our results can be extended to other composite welfare measures such as the widely used asset indices.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier B.V. All rights reserved. This is an author produced version of an article published in Journal of Development Economics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multidimensional poverty; Endogenous weights; Measurement externalities; PCA weights; Frequency weights |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Feb 2021 15:43 |
Last Modified: | 17 Feb 2023 01:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jdeveco.2021.102649 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170998 |
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