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A HARMONIZED DATASET ON GLOBAL EDUCATIONAL ATTAINMENT BETWEEN 1970 AND 2060 – AN ANALYTICAL WINDOW INTO RECENT TRENDS AND FUTURE PROSPECTS IN HUMAN CAPITAL DEVELOPMENT

Published online by Cambridge University Press:  13 September 2016

Anne Goujon ,
Samir K.C. ,
Markus Speringer ,
Bilal Barakat ,
Michaela Potancoková ,
Jakob Eder ,
Erich Striessnig ,
Ramon Bauer  and
Wolfgang Lutz
Anne Goujon*
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Samir K.C.
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Markus Speringer
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Bilal Barakat
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Michaela Potancoková
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Jakob Eder
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Erich Striessnig
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Ramon Bauer
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
Wolfgang Lutz
Affiliation:
Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU)
*
Address correspondence to: Anne Goujon, Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/ÖAW, WU), Vienna, Austria; e-mail: anne.goujon@oeaw.ac.at
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Abstract:

We hereby present a dataset produced at the Wittgenstein Centre (WIC) containing comprehensive time series on educational attainment and mean years of schooling (MYS). The dataset is split by 5-year age groups and sex for 171 countries and covers the period between 1970 and 2010. It also contains projections of educational attainment to 2060 based on several scenarios of demographic and educational development. The dataset is constructed around collected and harmonized empirical census and survey data sets for the projection base year. The paper presents the principles and methodology associated with the reconstruction and the projection, and how it differs from several previous exercises. It also proposes a closer look at the diffusion of education in world regions and how the existing gaps in terms of generation, gender, and geography have been evolving in the last 40 years.

Keywords

Educationhuman capitalback-projectionpopulation projectiongender gapmean years of schooling
Type
Data Section
Information
Journal of Demographic Economics , Volume 82 , Issue 3 , September 2016 , pp. 315 - 363
Copyright
Copyright © Université catholique de Louvain 2016 

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References

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