IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/8314.html
   My bibliography  Save this paper

Global data set on education quality (1965-2015)

Author

Listed:
  • Altinok,Nadir
  • Angrist,Noam
  • Patrinos,Harry Anthony

Abstract

This paper presents the largest globally comparable panel database of education quality. The database includes 163 countries and regions over 1965-2015. The globally comparable achievement outcomes were constructed by linking standardized, psychometrically-robust international and regional achievement tests. The paper contributes to the literature in the following ways: (1) it is the largest and most current globally comparable data set, covering more than 90 percent of the global population; (2) the data set includes 100 developing areas and the most developing countries included in such a data set to date -- the countries that have the most to gain from the potential benefits of a high-quality education; (3) the data set contains credible measures of globally comparable achievement distributions as well as mean scores; (4) the data set uses multiple methods to link assessments, including mean and percentile linking methods, thus enhancing the robustness of the data set; (5) the data set includes the standard errors for the estimates, enabling explicit quantification of the degree of reliability of each estimate; and (6) the data set can be disaggregated across gender, socioeconomic status, rural/urban, language, and immigration status, thus enabling greater precision and equity analysis. A first analysis of the data set reveals a few important trends: learning outcomes in developing countries are often clustered at the bottom of the global scale; although variation in performance is high in developing countries, the top performers still often perform worse than the bottom performers in developed countries; gender gaps are relatively small, with high variation in the direction of the gap; and distributions reveal meaningfully different trends than mean scores, with less than 50 percent of students reaching the global minimum threshold of proficiency in developing countries relative to 86 percent in developed countries. The paper also finds a positive and significant association between educational achievement and economic growth. The data set can be used to benchmark global progress on education quality, as well as to uncover potential drivers of education quality, growth, and development.

Suggested Citation

  • Altinok,Nadir & Angrist,Noam & Patrinos,Harry Anthony, 2018. "Global data set on education quality (1965-2015)," Policy Research Working Paper Series 8314, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8314
    as

    Download full text from publisher

    File URL: http://documents.worldbank.org/curated/en/706141516721172989/pdf/WPS8314.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Karl‐Friedrich Israel & Gunther Schnabl, 2024. "Alternative measures of price inflation and the perception of real income in Germany," The World Economy, Wiley Blackwell, vol. 47(2), pages 618-636, February.
    2. Grohmann, Antonia & Klühs, Theres & Menkhoff, Lukas, 2018. "Does financial literacy improve financial inclusion? Cross country evidence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 111, pages 84-96.
    3. Phal Chea, 2019. "A Review of Data Used in Education Research: Focus on Empirical Studies in Developing Countries," Discussion Paper Series DP2019-27, Research Institute for Economics & Business Administration, Kobe University.
    4. Leandro Prados de la Escosura, 2023. "Inequality Beyond GDP: A Long View," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(3), pages 533-554, September.
    5. Pessino, Carola & Izquierdo, Alejandro & Vuletin, Guillermo, 2018. "Better Spending for Better Lives: How Latin America and the Caribbean Can Do More with Less," IDB Publications (Books), Inter-American Development Bank, number 9152.
    6. MILLRINE, Mark & VUJIC, Suncica, 2017. "Revisiting Easterly and Levine (1997): Replication and extension," Working Papers 2017007, University of Antwerp, Faculty of Business and Economics.
    7. Campbell, Susanna G. & Üngör, Murat, 2020. "Revisiting human capital and aggregate income differences," Economic Modelling, Elsevier, vol. 91(C), pages 43-64.
    8. Simplice A. Asongu & Nicholas M. Odhiambo, 2020. "The role of governance in quality education in sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 20/077, African Governance and Development Institute..
    9. Dao, Thu Hien & Docquier, Frédéric & Parsons, Chris & Peri, Giovanni, 2018. "Migration and development: Dissecting the anatomy of the mobility transition," Journal of Development Economics, Elsevier, vol. 132(C), pages 88-101.
    10. Abdellatif Chatri & Otman Chahbi & Mustapha Snihji, 2021. "The multilevel analysis of students’ achievement: Evidence from Morocco," African Development Review, African Development Bank, vol. 33(1), pages 117-129, March.
    11. Joshua Dennis Hall, 2018. "The effects of the quality and quantity of education on income inequality," Economics Bulletin, AccessEcon, vol. 38(4), pages 2476-2489.
    12. Nadir ALTINOK, 2017. "Analyse critique et méthodologique des données d‘éducation de l’Afrique subsaharienne," Working Paper 688bd54b-760c-443b-8343-7, Agence française de développement.
    13. Pesta, Bryan J. & Fuerst, John & Kirkegaard, Emil O.W. & Papaleo, Brent, 2019. "Does intelligence explain national score variance on graduate admissions exams?," Intelligence, Elsevier, vol. 73(C), pages 8-15.
    14. Eyal Argov & Shay Tsur, 2019. "A Long-Run Growth Model for Israel," Bank of Israel Working Papers 2019.04, Bank of Israel.
    15. Patrinos,Harry Anthony, 2020. "The Learning Challenge in the 21st Century," Policy Research Working Paper Series 9214, The World Bank.
    16. Fontdevila, Clara, 2023. "The politics of good enough data. Developments, dilemmas and deadlocks in the production of global learning metrics," International Journal of Educational Development, Elsevier, vol. 96(C).

    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:wbk:wbrwps:8314. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.