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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*
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: [email protected]
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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.

Type
Data Section
Copyright
Copyright © Université catholique de Louvain 2016 

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References

REFERENCES

Abel, G. J., Basten, S., Fuchs, R., Garbero, A., Goujon, A., K.C., S., Pamuk, E., Riosmena, F., Sander, N., Sobotka, T., Striessnig, E. and Zeman, K. (2014) Developing expert-based assumptions on future fertility, mortality and migration. In ISTAT – Istituto nazionale di statistica (ed.), Proceedings of the Sixth Eurostat/UNECE Work Session, pp. 473–486. Rome: ISTAT.Google Scholar
Abel, Guy J. and Sander, Nikola (2014) Quantifying global international migration flows. Science 343 (6178), 15201522.CrossRefGoogle ScholarPubMed
Anand, Sudhir and Ravallion, Martin (1993) Human development in poor countries: On the role of private incomes and public services. Journal of Economic Perspectives 7 (1), 133–50.Google Scholar
Arnell, N., Kram, T., Carter, T, Ebi, K., Edmonds, J., Hallegatte, S., Kriegler, E., Mathur, R., O'Neill, B., Riahi, K., Winkler, H., van Vuuren, D. and Zwickel, T. (2011) A Framework for a New Generation of Socioeconomic Scenarios for Climate Change Impact, Adaptation, Vulnerability and Mitigation Research (Scenario Framework Paper). Potsdam: Potsdam Institute for Climate Impact Research.Google Scholar
Barakat, B. F. and Durham, R. E. (2014) Future education trends. In Wolfgang, L., Butz, W. P., and KC, Samir (eds.), World Population and Human Capital in the 21st Century, pp. 397433. Oxford, UK: Oxford University Press.Google Scholar
Barro, R. J. and Lee, J. W. (2015) Education Matters: Global Schooling Gains from the 19th to the 21st Century. Oxford, UK: Oxford University Press.Google Scholar
Barro, Robert J. and Lee, Jong Wha (1993) International comparison of educational attainment. Journal of Monetary Economics 32 (3), 363–94.CrossRefGoogle Scholar
Barro, Robert J. and Lee, Jong Wha (2001) International data on educational attainment: Updates and implications. Oxford Economic Papers 53 (3), 541–63.Google Scholar
Barro, Robert J. and Lee, Jong Wha (2013) A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics 104 (September 2013), 184–98. doi:10.1016/j.jdeveco.2012.10.001.CrossRefGoogle Scholar
Basten, Stuart and Cuaresma, Jesus Crespo (2014) Modelling the macroeconomic impact of future trajectories of educational development in least developed countries. International Journal of Educational Development 36 (May 2014), 4450.CrossRefGoogle Scholar
Bauer, R., Potančoková, M., Goujon, A. and KC, S. (2012) Populations for 171 Countries by Age, Sex, and Level of Education Around 2010: Harmonized Estimates of the Baseline Data for the Wittgenstein Centre Projections. Interim Report IR-12-016, International Institute for Applied Systems Analysis. http://www.iiasa.ac.at/publication/more_IR-12-016.php.Google Scholar
Becker, Gary (2012) Growing human capital investment in China compared to falling investment in the United States. Journal of Policy Modeling 34 (4), 517–24.CrossRefGoogle Scholar
Bidani, Benu and Ravallion, Martin (1997) Decomposing social indicators using distributional data. Journal of Econometrics 77 (6), 125–39.CrossRefGoogle Scholar
Bruns, B., Mingat, A. and Rakotomalala, R. (2003) Achieving Universal Primary Education by 2015, A Chance for Every Child. Washington, DC: The World Bank.Google Scholar
Chamie, Joseph (2014) Women More Educated Than Men But Still Paid Less. YaleGlobal, 6 March 2014.Google Scholar
Chapman, David W. and Boothroyd, Roger A. (1988) Threats to data quality in developing country settings. Comparative Educational Review 32 (4), 416–29.Google Scholar
Cohen, D. and Leker, L. (2014) Health and Education: Another Look with the Proper Data. CEPR Discussion Papers No 9940, Centre for Economic Policy Research. http://www.parisschoolofeconomics.eu/docs/cohen-daniel/cohen-leker-health-and-education-2014.pdf.Google Scholar
Cohen, Daniel and Soto, Marcelo (2007) Growth and human capital: Good data, good results. Journal of Economic Growth 12 (1), 5176. doi:10.1007/s10887-007-9011-5.Google Scholar
Crespo, Cuaresma, Wolfgang Lutz, Jesús and Sanderson, Warren (2014) Is the demographic dividend an education dividend?. Demography 51 (1), 299315.CrossRefGoogle Scholar
D'Albis, Hippolyte and Moosa, Dalal (2015) Generational economics and the national transfer accounts. Journal of Demographic Economics 81 (4), 409–41.CrossRefGoogle Scholar
De la Fuente, A. and Doménech, R. (2000) Human Capital in Growth Regressions: How Much Difference does Data Quality Make? OECD Economics Department Working Papers 262, Organization for Economic Co-operation and Development.Google Scholar
De la Fuente, A. and Doménech, R. (2012) Educational Attainment in the OECD, 1960–2010. BBVA Research Working Paper 12/20, BBVA (Banco Bilbao Vizcaya Argentaria) Research.Google Scholar
DiPrete, T. A. and Buchman, C. (2013) The Rise of Women: The Growing Gender Gap in Education and What it Means for American Schools. New York: Russel Sage Foundation.Google Scholar
European Commission (2010) Europe 2020 - A European Strategy for Smart, Sustainable and Inclusive Growth. Communication from the Commission. Brussels: European Commission.Google Scholar
Fortin, Nicole M., Oreopoulos, Philip and Phipps, Shelley (2015) Leaving boys behind: Gender disparities in high academic achievement. Journal of Human Resources 50 (3), 549–79.CrossRefGoogle Scholar
Goujon, Anne and K.C., Samir (2008) The past and future of human capital in South-East Asia: From 1970 to 2030. Asian Population Studies 4 (1), 3156.CrossRefGoogle Scholar
Hanushek, E. A. and Wößmann, L. (2007) Education Quality and Economic Growth. Washington, DC: The World Bank.Google Scholar
Heuveline, Patrick (1999) The global and regional impact of mortality and fertility transitions 1950–2000. Population and Development Review 25 (4), 681702.CrossRefGoogle ScholarPubMed
Huisman, Martijn, Kunst, Anton E., Bopp, Matthias, Borgan, Jens-Kristian, Borrell, Carme, Costa, Giuseppe, Deboosere, Patrick, Gadeyne, Sylvie, Glickman, Myer, Marinacci, Chiara, Minder, Christoph, Regidor, Enrique, Valkonen, Tapani, and Mackenbach, Johan P. (2005) Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight Western European populations. The Lancet 365 (9458), 493500. doi: 10.1016/S0140-6736(05)17867-2.CrossRefGoogle ScholarPubMed
Hummer, Robert A. and Hernandez, Elaine M. (2013) The effect of educational attainment on adult mortality in the United States. Population Bulletin 68 (1), 116.Google Scholar
Hummer, R. A. and Lariscy, J. T. (2011) Educational attainment and adult mortality. In Rogers, R.G. and Crimmins, E.M. (eds.), International Handbook of Adult Mortality, vol. 2, pp. 241261. International Handbooks of Population. Rotterdam, Netherlands: Springer.CrossRefGoogle Scholar
Jansen, Jonathan D. (2005) International and national targets for education: Help or hindrance?. International Journal of Educational Development 25 (4), 368–80.Google Scholar
Jejeebhoy, S. J. (1995) Women's Education, Autonomy, and Reproductive Behaviour: Experience from Developing Countries. Oxford, UK: Clarendon Press.Google Scholar
K.C., S. and Potančoková, M. (2013) Differential Fertility by Level of Education in DHS Countries. Paper presented at the 2013 Annual Meeting of the Population Association of America, New Orleans, 11–13 April 2013.Google Scholar
K.C., S., Striessnig, E., Barakat, B. and Speringer, M. (2015) Wittgenstein Centre Back-Projections Methodology for Populations by Age, Sex, and Six Levels of Education. Interim Report IR-15-008, International Institute for Applied Systems Analysis.Google Scholar
K.C., Samir and Lutz, Wolfgang (2014) The human core of the shared socioeconomic pathways: Population scenarios by age, sex and level of education for all countries to 2100. Global Environmental Change, http://dx.doi.org/10.1016/j.gloenvcha.2014.06.004.Google Scholar
Lutz, W., Butz, W. P. and KC, S. (eds) (2014a) World Population and Human Capital in the 21st Century. Oxford, UK: Oxford University Press. http://ukcatalogue.oup.com/product/9780198703167.do.CrossRefGoogle Scholar
Lutz, W., Cuaresma, J. C., and Sanderson, W. (2008) The demography of educational attainment and economic growth. Science 319 (5866), 10471048.Google Scholar
Lutz, Wolfgang, Goujon, Anne, KC, Samir and Sanderson, Warren C. (2007) Reconstruction of populations by age, sex and level of educational attainment for 120 countries for 1970–2000. Vienna Yearbook of Population Research 2007, 193235.Google Scholar
Lutz, Wolfgang, Muttarak, Raya and Striessnig, Erich (2014b) Universal education is key to enhanced climate adaptation. Science 346 (6213), 1061–62. doi:10.1126/science.1257975.Google Scholar
Lutz, W. and Skirbekk, V. (2014) How education drives demography and knowledge informs projections . In Lutz, W., Butz, W. P., and KC, S. (eds.), World Population and Human Capital in the 21st Century, pp. 1438. Oxford, UK: Oxford University Press.Google Scholar
Minnesota Population Center. (2014). Integrated Public Use Microdata Series, International: Version 6.3 [Machine-Readable Database]. IPUMS International. https://international.ipums.org/international/index.shtml.Google Scholar
Morrisson, Christian and Murtin, Fabrice (2009) The century of education. Journal of Human Capital 3 (1), 142.Google Scholar
Østby, G. and Urdal, H. (2011) Education and Conflict: What the Evidence Says. CSCW Policy Brief, 2. Oslo: PRIO.Google Scholar
Pelkonen, , A. and Teräväinen-Litardo, T. (2013) Convergence and divergence in research, higher education and innovation policies: An analysis of nine European countries. In Terro, E. (ed.), Global University Rankings, Challenges for European Higher Education, pp. 5374. Basingstoke, UK and New York, USA: Palgrave MacMillan.Google Scholar
Potancoková, M., K.C., S. and Goujon, A. (2014) Global Estimates of Mean Years of Schooling: A New Methodology. IIASA Interim Report IR-14-005, International Institute for Applied Systems Analysis.Google Scholar
Rogers, Andrei (1980) Introduction to multistate mathematical demography. Environment and Planning 12 (5), 489–98.Google Scholar
Roth, F. and Thum, A.-E. (2010) The Key Role of Education in the Europe 2020 Strategy. CEPS Working Document No. 338/October 2010, Centre for European Policy Studies.Google Scholar
Ruggles, Steven, McCaa, Robert, Sobek, Matthew and Cleveland, Lara (2015) The IPUMS collaboration: Integrating and disseminating the world's population microdata. Journal of Demographic Economics 81 (2), 203–16.CrossRefGoogle ScholarPubMed
Samoff, Joel (1991) The Façade of precision in education data and statistics: A troubling example from tanzania. The Journal of Modern African Studies 29 (4), 669–89.Google Scholar
Sparreboom, T. and Sparreboom-Burger, P. (1996) Migrant Worker Remittances in Lesotho: A Review of the Deferred Pay Scheme. Poverty-oriented Banking Working Paper 16, International Labour Office.Google Scholar
Speringer, M., Goujon, A., Eder, J., KC, S., Bauer, R. and Potančoková, M. (2015) Validation of the Wittgenstein Centre Back-Projections for Populations by Age, Sex, and Level of Education from 1970 to 2010. Interim Report IR-15-008, International Institute for Applied Systems Analysis (IIASA).Google Scholar
Thomas-Hope, E. (2002) Skilled Labour Migration from Developing Countries: Study on the Caribbean Region. International Migration Papers 50, International Labour Office.Google Scholar
UIS (2014) UN Data. A World of Information. Population 15 Years of Age and Over, by Educational Attainment, Age and Sex. Data.un.org. http://data.un.org/Data.aspx?d=POP&f=tableCode%3a30.Google Scholar
UNDP (2011) Human Development Index (HDI). New York, NY: United Nations Development Programme.Google Scholar
UNDP (2014) Human development report 2014. Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience. New York, NY: United Nations Development Programme.Google Scholar
UNESCO (2006) International Standard Classification of Education: ISCED 1997 (Reprint). Montreal: UNESCO Institute for Statistics.Google Scholar
UNESCO (2015) How Long Will It Take to Achieve Universal Primary and Secondary Education? Technical Background Note for the Framework for Action on the Post-2015 Education Agenda. EFA Global Monitoring Report. Paris: UNESCO.Google Scholar
United Nations (2006) World Population Prospects: The 2006 Revision, Volume III: Analytical Report. New York, NY: Department of Economic and Social Affairs, Population Division.Google Scholar
United Nations (2011) World Population Prospects: The 2010 Revision. New York, NY: Department of Economic and Social Affairs, Population Division.Google Scholar
Van Bavel, Jan (2012) The reversal of gender inequality in education, union formation and fertility in Europe. Vienna Yearbook of Population Research 2012, 127–54. doi:10.1553/populationyearbook2012s127.Google Scholar
WIC- Wittgenstein Centre for Demography and Global Human Capital (2015) Wittgenstein Centre Data Explorer Version 1.2. Available at: http://www.wittgensteincentre.org/dataexplorer.Google Scholar
Wils, Annababette and Goujon, Anne (1998) Diffusion of education in six world regions, 1960–90. Population and Development Review 24 (2), 357–68.Google Scholar
Wilson, Chris (2001) On the scale of global demographic convergence 1950–2000. Population and Development Review 27 (1), 155–71.CrossRefGoogle ScholarPubMed