World Income Inequality Databases: An Assessment of Wiid and Swiid

66 Pages Posted: 4 Oct 2014

See all articles by Stephen P. Jenkins

Stephen P. Jenkins

London School of Economics & Political Science (LSE) - Department of Social Policy and Administration; Institute for the Study of Labor (IZA); University of Essex - Institute for Social and Economic Research (ISER)

Abstract

This article assesses two secondary data compilations about income inequality – the World Income Inequality Database (WIIDv2c), and the Standardized World Income Inequality Database (SWIIDv4.0) which is based on WIID but with all observations multiply-imputed. WIID and SWIID are convenient and accessible sources for researchers seeking cross-national data with global coverage for relatively long time periods. Against these benefits must be set costs arising from lack of data comparability and quality and also, in the case of SWIID, questions about its imputation model. WIID and SWIID users need to recognize this benefit-cost trade-off and ensure their substantive conclusions are robust to potential data problems. I provide detailed description of the nature and contents of both sources plus illustrative regression analysis. From a data issues perspective, I recommend WIID over SWIID, though my support for use of WIID is conditional.

Keywords: global inequality, inequality, Gini, imputation, WIID, SWIID

JEL Classification: C81, C82, D31

Suggested Citation

Jenkins, Stephen P., World Income Inequality Databases: An Assessment of Wiid and Swiid. IZA Discussion Paper No. 8501, Available at SSRN: https://ssrn.com/abstract=2505363

Stephen P. Jenkins (Contact Author)

London School of Economics & Political Science (LSE) - Department of Social Policy and Administration ( email )

Houghton Street
London, England WC2A 2AE
United Kingdom

Institute for the Study of Labor (IZA)

P.O. Box 7240
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Germany

University of Essex - Institute for Social and Economic Research (ISER) ( email )

Wivenhoe Park
Colchester CO4 3SQ
United Kingdom
+44 120 687 3374 (Phone)
+44 120 687 3151 (Fax)

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