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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
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    5. 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.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Education data; Household survey; Learning assessment; Field experiment; Educational data mining;
    All these keywords.

    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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