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Australia's National School Data and the ‘Big Data’ Revolution in Education Economics

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  • Kevin Pugh
  • Gigi Foster

Abstract

type="main" xml:lang="en"> The increasing availability of large-N datasets on students, schools and student achievement has produced an explosion of research in education economics over the past 20 years. In this data survey, we first review the micro-level education datasets presently available around the world, focusing on their strengths and data access protocols, and we highlight samples of research by economists that have drawn upon them. We then discuss Australia's forays into ‘Big Data’ in education, with our main objective a description and assessment of the national school data recently made available to researchers through the Australian Curriculum, Assessment and Reporting Authority.

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  • Kevin Pugh & Gigi Foster, 2014. "Australia's National School Data and the ‘Big Data’ Revolution in Education Economics," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 47(2), pages 258-268, June.
    • Handle: RePEc:bla:ausecr:v:47:y:2014:i:2:p:258-268
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    Cited by:

    1. Gigi Foster, 2018. "Education Policy Reforms to Boost Productivity in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(2), pages 253-261, June.
    2. Whitaker, Stephan D., 2018. "Big Data versus a survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 285-296.
    3. Michael Coelli & Gigi Foster & Andrew Leigh, 2018. "Do School Principals Respond to Increased Public Scrutiny? New Survey Evidence from Australia," The Economic Record, The Economic Society of Australia, vol. 94(S1), pages 73-101, June.
    4. Sarah Cornell-Farrow & Robert Garrard, 2018. "Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia," Papers 1807.07215, arXiv.org, revised Jan 2020.

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