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Cited by 3,049

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

A New Data Set Measuring Income Inequality

Open access
Deininger, K., Squire, L.·1996·The World Bank Economic Review
DOI 10.1093/wber/10.3.565
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Abstract

This article presents a new data set on inequality in the distribution of income. The authors explain the criteria they applied in selecting data on Gini coefficients and on individual quintile groups' income shares. Comparison of the new data set with existing compilations reveals that the data assembled here represent an improvement in quality and a significant expansion in coverage, although differences in the definition of the underlying data might still affect intertemporal and international comparability. Based on this new data set, the authors do not find a systematic link between growth and changes in aggregate inequality. They do find a strong positive relationship between growth and reduction of poverty.

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Metadata

Authors
Deininger, K., & Squire, L.
Venue
The World Bank Economic Review
Publisher
Oxford University Press (OUP)
Published
1996-09-01
Volume
10
Issue
3
Pages
565-591
ISSN
  • 0258-6770 (ISSN-L)
  • 1564-698X
DOI
10.1093/wber/10.3.565
OpenAlex
W2169223645
Cited by
3,049
References
1
FWCI
324.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A New Data Set Measuring Income Inequality. https://app.cochat.ai/papers/10.1093/wber/10.3.565
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Deininger, K., & Squire, L. (1996). A New Data Set Measuring Income Inequality. The World Bank Economic Review. https://doi.org/10.1093/wber/10.3.565

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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.