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Global Reconstruction of Educational Attainment, 1950 to 2015: Methodology and Assessment

Author

Listed:
  • Markus Speringer
  • Anne Goujon
  • Samir K.C.
  • Michaela Potancokova
  • Claudia Reiter
  • Sandra Jurasszovich
  • Jakob Eder

Abstract

This paper documents the rationale, the data and the methodology for reconstructing the population of 185 countries by levels of educational attainment for the period 1950–2015, by age and sex. The reconstruction uses four main input types for each country: (1) The most recent and reliable education structure by age and sex, (2) any reliable historical education data by age and sex to use as marker points in the reconstruction to increase output accuracy, (3) a set of age- and sex-specific mortality differentials and education transition by education and (4) population estimates by age and sex. The methodology relies on the fact that education is acquired at young ages and does not change much over the life course. In the first part we present the reconstruction principle. In the second one, we document the methodology and the data. The third section compares the reconstructed estimates to other existing estimates including the past reconstruction effort of the Wittgenstein Centre for Demography and Human Capital. The data are available at: www.wittgensteincentre.org/dataexplorer (version 2.0). Supplementary to this Working Paper a detailed data documentation Excel file can be downloaded via: https://www.oeaw.ac.at/vid/publications/serial-publications/vid-working-papers/.

Suggested Citation

  • Markus Speringer & Anne Goujon & Samir K.C. & Michaela Potancokova & Claudia Reiter & Sandra Jurasszovich & Jakob Eder, 2019. "Global Reconstruction of Educational Attainment, 1950 to 2015: Methodology and Assessment," VID Working Papers 1902, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    • Handle: RePEc:vid:wpaper:1902
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    References listed on IDEAS

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    1. Lutz, Wolfgang & Butz, William P. & KC, Samir (ed.), 2014. "World Population and Human Capital in the Twenty-First Century," OUP Catalogue, Oxford University Press, number 9780198703167.
    2. Daniel Cohen & Marcelo Soto, 2007. "Growth and human capital: good data, good results," Journal of Economic Growth, Springer, vol. 12(1), pages 51-76, March.
    3. Cohen, Daniel & Leker, Laura, 2014. "Health and Education: Another Look with the Proper Data," CEPR Discussion Papers 9940, C.E.P.R. Discussion Papers.
    4. Anne GOUJON & Samir K. C. & Markus SPERINGER & Bilal BARAKAT & Michaela POTANCOKOVÀ, 2016. "A Harmonized Dataset on Global Educational Attainment between 1970 and 2060 - An Analytical Window into Recent Trends and Future Prospects in Human Capital Development," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 82(3), pages 315-363, September.
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    Cited by:

    1. Yuri Yegorov & Dieter Grass & Magda Mirescu & Gustav Feichtinger & Franz Wirl, 2020. "Growth and Collapse of Empires: A Dynamic Optimization Model," Journal of Optimization Theory and Applications, Springer, vol. 186(2), pages 620-643, August.
    2. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2019. "Simulating Family Life Courses: An Application for Italy, Great Britain, and Scandinavia," VID Working Papers 1908, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    3. Erich Striessnig & Jayanta Kumar Bora, 2019. "Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts," VID Working Papers 1903, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    4. Bernhard Hammer & Sonja Spitzer & Lili Vargha & Tanja Istenic, 2019. "The Gender Dimension of Intergenerational Transfers in Europe," VID Working Papers 1907, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    5. Vesper H. Chisumpa & Clifford O. Odimegwu & Nandita Saikia, 2019. "Mortality in Sub-Saharan Africa: What is Killing Adults Aged 15-59 Years in Zambia?," VID Working Papers 1904, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.

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