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Cited by 534

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

MEASURING POVERTY AND DEPRIVATION IN SOUTH AFRICA

Klasen, Stephen·2000·Review of Income and Wealth

Abstract

This paper compares a standard expenditure‐based poverty measure with a specifically created composite measure of deprivation using household survey data from South Africa. While there is a strong overall correlation between expenditures and levels of deprivation, the correlation is much weaker among the worst‐off South Africans. In addition, the two measures differ considerably in the impact of race, headship, location (urban, rural), and household size on expenditure poverty versus deprivation. In general, the deprivation measure finds more Africans, rural dwellers, members of de facto female‐headed households, and members of smaller households deprived than expenditure poor. Only the differences in the effect of household size on poverty are sensitive to assumptions about equivalence scales. As a result, the two measures diverge greatly in identifying the poorest and most deprived sections of the population, which may have considerable consequences for targeting.

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Crossref · 10.1111/j.1475-4991.2000.tb00390.x

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Metadata

Authors
Klasen, S.
Venue
Review of Income and Wealth
Publisher
Wiley
Published
2000-03
Volume
46
Issue
1
Pages
33-58
ISSN
  • 0034-6586 (ISSN-L)
  • 1475-4991
OpenAlex
W2134750726
Cited by
534
References
1
FWCI
30.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MEASURING POVERTY AND DEPRIVATION IN SOUTH AFRICA. https://app.cochat.ai/papers/10.1111/j.1475-4991.2000.tb00390.x
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Klasen, S. (2000). MEASURING POVERTY AND DEPRIVATION IN SOUTH AFRICA. Review of Income and Wealth. https://doi.org/10.1111/j.1475-4991.2000.tb00390.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.