IDEAS home Printed from https://ideas.repec.org/a/rmk/rmkbae/v3y2016i2p1-8.html
   My bibliography  Save this article

Gini Coefficients of Education for 146 Countries, 1950-2010

Author

Listed:
  • Thomas Ziesemer

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

  • Thomas Ziesemer, 2016. "Gini Coefficients of Education for 146 Countries, 1950-2010," Bulletin of Applied Economics, Risk Market Journals, vol. 3(2), pages 1-8.
  • Handle: RePEc:rmk:rmkbae:v:3:y:2016:i:2:p:1-8
    as

    Download full text from publisher

    File URL: http://www.riskmarket.co.uk/bae/journals-articles/issues/gini-coefficients-of-education-for-146-countries-1950-2010/?download=attachment.pdf
    Download Restriction: no

    Other versions of this item:

    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 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. 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.
    6. Péter Földvári & 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.
    7. repec:wbk:wbpubs:28198 is not listed on IDEAS
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ziesemer, Thomas, 2017. "Testing linear growth rate formulas of non-scale endogenous growth models," MERIT Working Papers 036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    More about this item

    Keywords

    Human capital distribution; education inequality; growth; new data;

    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
    • Y1 - Miscellaneous Categories - - Data: Tables and Charts

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rmk:rmkbae:v:3:y:2016:i:2:p:1-8. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Eleftherios Spyromitros-Xioufis). General contact details of provider: http://www.riskmarket.co.uk/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.