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Gini coefficients of education for 146 countries, 1950-2010

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  • Ziesemer, Thomas

    (UNU-MERIT, and Maastricht University, SBE)

Abstract

We provide Gini coefficients of education based on data from Barro and Lee (2010) for 146 countries for the years 1950-2010. We compare them to an earlier data set and run some related LOESS fit regressions on average years of schooling and GDP per capita, both showing negative slopes, and among the latter two variables. Tertiary education is shown to reduce education inequality. A growth regression shows that tertiary education increases growth, Gini coefficients of education have a u-shaped impact on growth and labour force growth has an inverted u-shape effect on growth.

Suggested Citation

  • Ziesemer, Thomas, 2016. "Gini coefficients of education for 146 countries, 1950-2010," MERIT Working Papers 2016-044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2016044
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    References listed on IDEAS

    as
    1. Ziesemer, Thomas, 2011. "What Changes Gini Coefficients of Education? On the dynamic interaction between education, its distribution and growth," MERIT Working Papers 2011-053, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Christian Morrisson & Fabrice Murtin, 2010. "The Kuznets Curve of Education: A Global Perspective on Education Inequalities," CEE Discussion Papers 0116, Centre for the Economics of Education, LSE.
    3. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    4. Petra Sauer & Martin Zagler, 2014. "(In)equality in Education and Economic Development," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 353-379, November.
    5. Thomas, Vinod & Wang, Yan & Fan, Xibo, 2001. "Measuring education inequality - Gini coefficients of education," Policy Research Working Paper Series 2525, The World Bank.
    6. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    7. P�ter F�ldv�ri & Bas van Leeuwen, 2011. "Should less inequality in education lead to a more equal income distribution?," Education Economics, Taylor & Francis Journals, vol. 19(5), pages 537-554, February.
    8. Ramón E. López & Vinod Thomas & Yan Wang, 2008. "The Quality of Growth," World Bank Publications - Books, The World Bank Group, number 28198.
    9. Barro, Robert J & Lee, Jong Wha, 1996. "International Measures of Schooling Years and Schooling Quality," American Economic Review, American Economic Association, vol. 86(2), pages 218-223, May.
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    Cited by:

    1. Ziesemer, Thomas, 2019. "Can we have growth when population is stagnant? Testing linear growth rate formulas and their cross-unit cointegration of non-scale endogenous growth models," MERIT Working Papers 2019-021, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Ziesemer, Thomas, 2021. "Global dynamics of Gini coefficients of education for 146 countries updated to 1950-2015," MERIT Working Papers 2021-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Marinko Skare & Luis A. Gil-Alana & Gloria Claudio-Quiroga & Romina Pržiklas Družeta, 2021. "Income inequality in China 1952–2017: persistence and main determinants," Oeconomia Copernicana, Institute of Economic Research, vol. 12(4), pages 863-888, December.
    4. Tomasz Serwach, 2023. "The European Union and within‐country income inequalities. The case of the new member states," The World Economy, Wiley Blackwell, vol. 46(7), pages 1890-1939, July.
    5. Yulin Hou & Cem Karayalcin, 2019. "Exports of primary goods and human capital accumulation," Review of International Economics, Wiley Blackwell, vol. 27(5), pages 1371-1408, November.
    6. Zhe Song & Chen Hao, 2022. "Housing price and criminal crime in China: direct and indirect influence," Applied Economics, Taylor & Francis Journals, vol. 54(40), pages 4647-4663, August.
    7. Irarrázaval, Andrés, 2020. "The fiscal origins of comparative inequality levels: an empirical and historical investigation," Economic History Working Papers 107491, London School of Economics and Political Science, Department of Economic History.
    8. Thomas H.W. Ziesemer, 2020. "Can we have growth when population is stagnant? Testing linear growth rate formulas of non-scale endogenous growth models," Applied Economics, Taylor & Francis Journals, vol. 52(13), pages 1502-1516, March.
    9. Shay Tsur & Eyal Argov, 2019. "Conditional Convergence and Future TFP Growth in Israel," Bank of Israel Working Papers 2019.05, Bank of Israel.
    10. Zheng, Zhijie & Huang, Chien-Yu & Wan, Xi, 2020. "Human Capital and Income Inequality in a Monetary Schumpeterian Growth Model," MPRA Paper 101912, University Library of Munich, Germany.
    11. Irarrázaval, Andrés, 2020. "The fiscal origins of comparative inequality levels: an empirical and historical investigation," LSE Research Online Documents on Economics 107491, London School of Economics and Political Science, LSE Library.
    12. Peter Mikek, 2023. "Financial deepening and income inequality: is there a financial Kuznetz curve in Latin America?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 103-125, March.
    13. Eyal Argov & Shay Tsur, 2019. "A Long-Run Growth Model for Israel," Bank of Israel Working Papers 2019.04, Bank of Israel.
    14. Tomasz Serwach, 2022. "The European Union and within-country income inequalities. The case of the New Member States," Working Papers hal-03548416, HAL.
    15. Ziesemer, Thomas, 2017. "Testing linear growth rate formulas of non-scale endogenous growth models," MERIT Working Papers 2017-036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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    More about this item

    Keywords

    Human capital; Human capital distribution; education; inequality; growth; new data;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts

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