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A consistency check of the World Income Inequality Database in favour of common readers

Author

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  • Amlan Majumder

    (University of North Bengal)

  • Takayoshi Kusago

    (Kansai University)

Abstract

The World Income Inequality Database (WIID) is widely used by common readers of economic inequality. It reports, among other, information on Gini coefficient computed from micro-data and corresponding decile and quintile income or consumption distributions. As a part of common practice, a reader may look at a reported Gini and visually examine the corresponding grouped distributions. The precise objective of this paper is to examine whether such a practice of linking of Gini coefficient based on micro-data and the corresponding grouped income distributions is always feasible. A reported Gini may not always correspond to the displayed grouped distribution, as it should be. In the quest of performing a consistency check, if Gini coefficient is computed from the grouped distributions, one may end up finding some non-negligible number of absurd figures, which cannot be explained by our common understanding of the existing literature. One needs to identify and filter out such unusual cases from the dataset to make it useable throughout. As grouping of micro-data into deciles or quintiles involves some sort of shortfall comprising of underestimation and downward bias in Gini coefficient, and as probable magnitude of these can be set, such information may be used to filter out the cases with discrepancies. After a thorough analysis of four different versions of WIID, it is found that nearly 6–11% cases are unusual relating to quintile and decile datasets, respectively in WIID of 6 May 2020 with a gradual improvement of data quality from WIID 3.4 of 2017.

Suggested Citation

  • Amlan Majumder & Takayoshi Kusago, 2021. "A consistency check of the World Income Inequality Database in favour of common readers," SN Business & Economics, Springer, vol. 1(7), pages 1-17, July.
    • Handle: RePEc:spr:snbeco:v:1:y:2021:i:7:d:10.1007_s43546-021-00094-1
    DOI: 10.1007/s43546-021-00094-1
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    References listed on IDEAS

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    1. Amlan Majumder & Takayoshi Kusago, 2018. "A note on the use of decile or quintile group-share of income or consumption from the popular income inequality databases to explain inequality conditions," Economics Bulletin, AccessEcon, vol. 38(4), pages 2152-2166.
    2. Francisco G. Ferreira & Nora Lustig & Daniel Teles, 2015. "Appraising cross-national income inequality databases: An introduction," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 497-526, December.
    3. Stephen Jenkins, 2015. "World income inequality databases: an assessment of WIID and SWIID," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(4), pages 629-671, December.
    4. Tom Van Ourti & Philip Clarke, 2011. "A Simple Correction to Remove the Bias of the Gini Coefficient due to Grouping," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 982-994, August.
    5. Andreas Bergh & Günther Fink, 2008. "Higher Education Policy, Enrollment, and Income Inequality," Social Science Quarterly, Southwestern Social Science Association, vol. 89(1), pages 217-235, March.
    6. Frederick Solt, 2020. "Measuring Income Inequality Across Countries and Over Time: The Standardized World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 101(3), pages 1183-1199, May.
    7. John Carter, 2007. "An Empirical Note on Economic Freedom and Income Inequality," Public Choice, Springer, vol. 130(1), pages 163-177, January.
    8. Frederick Solt, 2009. "Standardizing the World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 90(2), pages 231-242, June.
    9. Lars Osberg, 2017. "On the Limitations of Some Current Usages of the Gini Index," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(3), pages 574-584, September.
    10. Branko Milanovic, 2012. "Global inequality recalculated and updated: the effect of new PPP estimates on global inequality and 2005 estimates," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(1), pages 1-18, March.
    11. Lerman, Robert I. & Yitzhaki, Shlomo, 1989. "Improving the accuracy of estimates of Gini coefficients," Journal of Econometrics, Elsevier, vol. 42(1), pages 43-47, September.
    12. Andrea Brandolini & Anthony B. Atkinson, 2001. "Promise and Pitfalls in the Use of "Secondary" Data-Sets: Income Inequality in OECD Countries As a Case Study," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 771-799, September.
    13. Frederick Solt, 2009. "Standardizing the World Income Inequality Database," LIS Working papers 496, LIS Cross-National Data Center in Luxembourg.
    14. Roberta Torre & Mikko Myrskylä, 2014. "Income inequality and population health: An analysis of panel data for 21 developed countries, 1975-2006," Population Studies, Taylor & Francis Journals, vol. 68(1), pages 1-13, March.
    15. Davies, J. B. & Shorrocks, A. F., 1989. "Optimal grouping of income and wealth data," Journal of Econometrics, Elsevier, vol. 42(1), pages 97-108, September.
    16. Frederick Solt, 2016. "The Standardized World Income Inequality Database," Social Science Quarterly, Southwestern Social Science Association, vol. 97(5), pages 1267-1281, November.
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