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A Comparison of Major World Inequality Data Sets: LIS, OECD, EU-SILC, WDI, and EHII

In: Income Inequality Around the World

Author

Listed:
  • James K. Galbraith
  • Jaehee Choi
  • Béatrice Halbach
  • Aleksandra Malinowska
  • Wenjie Zhang

Abstract

We present a comparison of coverage and values for five inequality data sets that have worldwide or major international coverage and independent measurements that are intended to present consistent coefficients that can be compared directly across countries and time. The comparison data sets are those published by the Luxembourg Income Studies (LIS), the OECD, the European Union’s Statistics on Incomes and Living Conditions (EU-SILC), and the World Bank’s World Development Indicators (WDI). The baseline comparison is with our own Estimated Household Income Inequality (EHII) data set of the University of Texas Inequality Project. The comparison shows the historical depth and range of EHII and its broad compatibility with LIS, OECD, and EU-SILC, as well as problems with using the WDI for any cross-country comparative purpose. The comparison excludes the large World Incomes Inequality Database (WIID) of UNU-WIDER and the Standardized World Income Inequality Database (SWIID) of Frederick Solt; the former is a bibliographic collection and the latter is based on imputations drawn, in part, from EHII and the other sources used here.

Suggested Citation

  • James K. Galbraith & Jaehee Choi & Béatrice Halbach & Aleksandra Malinowska & Wenjie Zhang, 2016. "A Comparison of Major World Inequality Data Sets: LIS, OECD, EU-SILC, WDI, and EHII," Research in Labor Economics, in: Income Inequality Around the World, volume 44, pages 1-48, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:rleczz:s0147-912120160000044008
    DOI: 10.1108/S0147-912120160000044008
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    Citations

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    Cited by:

    1. Johnson Worlanyo Ahiadorme, 2022. "Monetary policy transmission and income inequality in Sub-Saharan Africa," Economic Change and Restructuring, Springer, vol. 55(3), pages 1555-1585, August.
    2. Galbraith, James & Choi, Jaehee, 2020. "The consequences of economic inequality for presidential elections in the United States," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 86-98.
    3. Francesca Carta, 2020. "Timely Indicators for Inequality and Poverty Using the Italian Labour Force Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 41-65, May.

    More about this item

    Keywords

    Inequality; inequality databases; Gini coefficient; D63;
    All these keywords.

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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