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Standardizing the World Income Inequality Database*

Solt, Frederick·2009·Social Science Quarterly

Abstract

Objective. Cross‐national research on the causes and consequences of income inequality has been hindered by the limitations of existing inequality data sets: greater coverage across countries and over time is available from these sources only at the cost of significantly reduced comparability across observations. The goal of the Standardized World Income Inequality Database (SWIID) is to overcome these limitations. Methods. A custom missing‐data algorithm was used to standardize the U.N. University's World Income Inequality Database; data collected by the Luxembourg Income Study served as the standard. Results. The SWIID provides comparable Gini indices of gross and net income inequality for 153 countries for as many years as possible from 1960 to the present, along with estimates of uncertainty in these statistics. Conclusions. By maximizing comparability for the largest possible sample of countries and years, the SWIID is better suited to broad cross‐national research on income inequality than previously available sources.

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Metadata

Authors
Solt, F.
Venue
Social Science Quarterly
Publisher
Wiley
Published
2009-04-13
Volume
90
Issue
2
Pages
231-242
ISSN
  • 0038-4941 (ISSN-L)
  • 1540-6237
OpenAlex
W2144140979
Cited by
953
References
2
FWCI
119.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Standardizing the World Income Inequality Database*. https://app.cochat.ai/papers/10.1111/j.1540-6237.2009.00614.x
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Solt, F. (2009). Standardizing the World Income Inequality Database*. Social Science Quarterly. https://doi.org/10.1111/j.1540-6237.2009.00614.x

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