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A Review of Data Used in Education Research: Focus on Empirical Studies in Developing Countries

Author

Listed:
  • Phal Chea

    (Research Institute for Economics and Business Administration, Kobe University, Japan)

Abstract

This paper intends to review education-related datasets, including data from household surveys, learning assessments and field experiments, publicly available for researchers and students interested in conducting education research. It also presents ideas on how those data can be used in empirical studies and identifies some major potential sources of those datasets. Issues in education have shifted from access to quality learning and at the same time, randomized control trial (RCT) has become the gold standard in measuring the impacts of education programs. The paper also notices the emerging field of educational data mining employed to predict student performance or to identify at-risk students.

Suggested Citation

  • 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.
    • Handle: RePEc:kob:dpaper:dp2019-27
    as

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    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2019-27.pdf
    File Function: First version, 2019
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    References listed on IDEAS

    as
    1. Gérard Lassibille & Jee-Peng Tan, 2007. "Benefit Incidence Analysis in Education," Post-Print halshs-00335135, HAL.
    2. Ammermuller, Andreas & Heijke, Hans & Wo[ss]mann, Ludger, 2005. "Schooling quality in Eastern Europe: Educational production during transition," Economics of Education Review, Elsevier, vol. 24(5), pages 579-599, October.
    3. Mawuli Gaddah & Alistair Munro & Peter Quartey, 2015. "The rich or the poor: who gains from public education spending in Ghana?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 42(2), pages 112-131, February.
    4. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    5. George Psacharopoulos & Harry Anthony Patrinos, 2018. "Returns to investment in education: a decennial review of the global literature," Education Economics, Taylor & Francis Journals, vol. 26(5), pages 445-458, September.
    6. Connelly, Rachel & Zheng, Zhenzhen, 2003. "Determinants of school enrollment and completion of 10 to 18 year olds in China," Economics of Education Review, Elsevier, vol. 22(4), pages 379-388, August.
    7. Duflo, Esther & Glennerster, Rachel & Kremer, Michael, 2008. "Using Randomization in Development Economics Research: A Toolkit," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 61, pages 3895-3962, Elsevier.
    8. Masamune Iwasawa & Mitsuo Inada & Seiichi Fukui, 2014. "How Migrant Heterogeneity Influences the Effect of Remittances on Educational Expenditure:Empirical Evidence from the Cambodian Socio-Economic Survey," KIER Working Papers 898, Kyoto University, Institute of Economic Research.
    9. Paul W. Glewwe & Eric A. Hanushek & Sarah D. Humpage & Renato Ravina, 2011. "School Resources and Educational Outcomes in Developing Countries: A Review of the Literature from 1990 to 2010," NBER Working Papers 17554, National Bureau of Economic Research, Inc.
    10. Tansel, Aysit, 2002. "Determinants of school attainment of boys and girls in Turkey: individual, household and community factors," Economics of Education Review, Elsevier, vol. 21(5), pages 455-470, October.
    11. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    12. World Bank, 2018. "World Development Report 2018 [Rapport sur le développement dans le monde 2018]," World Bank Publications - Books, The World Bank Group, number 28340, April.
    13. Psacharopoulos, George, 1994. "Returns to investment in education: A global update," World Development, Elsevier, vol. 22(9), pages 1325-1343, September.
    14. 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.
    15. Subha Mani & John Hoddinott & John Strauss, 2013. "Determinants of Schooling: Empirical Evidence from Rural Ethiopia," Journal of African Economies, Centre for the Study of African Economies, vol. 22(5), pages 693-731, November.
    16. Jacob, Brian A., 2005. "Accountability, incentives and behavior: the impact of high-stakes testing in the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 761-796, June.
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    Keywords

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    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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