IDEAS home Printed from https://ideas.repec.org/a/bla/ausecr/v47y2014i2p258-268.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    2. Andreas Ammermueller & Jörn-Steffen Pischke, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," CEE Discussion Papers 0065, Centre for the Economics of Education, LSE.
    3. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    4. Leigh Andrew, 2007. "Intergenerational Mobility in Australia," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(2), pages 1-28, December.
    5. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    6. Rockoff, Jonah E. & Speroni, Cecilia, 2011. "Subjective and objective evaluations of teacher effectiveness: Evidence from New York City," Labour Economics, Elsevier, vol. 18(5), pages 687-696, October.
    7. Middendorf Torge, 2006. "Human Capital and Economic Growth in OECD Countries," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(6), pages 670-686, December.
    8. Stinebrickner, Ralph & Stinebrickner, Todd R., 2006. "What can be learned about peer effects using college roommates? Evidence from new survey data and students from disadvantaged backgrounds," Journal of Public Economics, Elsevier, vol. 90(8-9), pages 1435-1454, September.
    9. Peter Arcidiacono & Gigi Foster & Natalie Goodpaster & Josh Kinsler, 2012. "Estimating spillovers using panel data, with an application to the classroom," Quantitative Economics, Econometric Society, vol. 3(3), pages 421-470, November.
    10. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    11. Brendan Houng & Moshe Justman, 2013. "Comparing Least-Squares Value-Added Analysis and Student Growth Percentile Analysis for Evaluating Student Progress and Estimating School Effects," Melbourne Institute Working Paper Series wp2013n07, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Entorf, Horst & Minoiu, Nicoleta, 2004. "PISA Results: What a Difference Immigration Law Makes," IZA Discussion Papers 1021, Institute of Labor Economics (IZA).
    13. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
    14. Caroline M. Hoxby & Sonali Murarka, 2009. "Charter Schools in New York City: Who Enrolls and How They Affect Their Students' Achievement," NBER Working Papers 14852, National Bureau of Economic Research, Inc.
    15. Kathrin Bertschy & M. Alejandra Cattaneo & Stefan C. Wolter, 2009. "PISA and the Transition into the Labour Market," LABOUR, CEIS, vol. 23(s1), pages 111-137, March.
    16. Rebecca Allen, 2013. "Measuring foundation school effectiveness using English administrative data, survey data and a regression discontinuity design," Education Economics, Taylor & Francis Journals, vol. 21(5), pages 431-446, December.
    17. David S. Lyle, 2007. "Estimating and Interpreting Peer and Role Model Effects from Randomly Assigned Social Groups at West Point," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 289-299, May.
    18. Foster, Gigi, 2012. "The impact of international students on measured learning and standards in Australian higher education," Economics of Education Review, Elsevier, vol. 31(5), pages 587-600.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:hal:spmain:info:hdl:2441/1jgbspo1909q48svne93o55rca is not listed on IDEAS
    2. Alexis Le Chapelain, 2014. "Market for Education and Student Achievement," Sciences Po publications info:hdl:2441/1jgbspo1909, Sciences Po.
    3. Petra Thiemann, 2022. "The Persistent Effects of Short-Term Peer Groups on Performance: Evidence from a Natural Experiment in Higher Education," Management Science, INFORMS, vol. 68(2), pages 1131-1148, February.
    4. Alexis Le Chapelain, 2014. "Market for education and student achievement [Marché de l’éducation et réussite scolaire]," SciencePo Working papers Main tel-03510563, HAL.
    5. Dannemann, Bernhard C., 2019. "Peer effects in secondary education: Evidence from trends in mathematics and science study 2015 based on weak-tie bonds," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203485, Verein für Socialpolitik / German Economic Association.
    6. Heather Antecol & Ozkan Eren & Serkan Ozbeklik, 2016. "Peer Effects in Disadvantaged Primary Schools: Evidence from a Randomized Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 51(1), pages 95-132.
    7. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    8. Bonilla-Mejía, Leonardo & Galvis-Aponte, Luis Armando, 2014. "Profesionalización docente y calidad de la educación escolar en Colombia," Chapters, in: Sánchez Jabba, Andrés & Otero Cortés, Andrea (ed.), Educación y desarrollo regional en Colombia, chapter 5, pages 161-209, Banco de la Republica de Colombia.
    9. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    10. Brady, Ryan R. & Insler, Michael A. & Rahman, Ahmed S., 2017. "Bad Company: Understanding negative peer effects in college achievement," European Economic Review, Elsevier, vol. 98(C), pages 144-168.
    11. Bernhard C. Dannemann, 2020. "Peer Effects in Secondary Education: Evidence from the 2015 Trends in Mathematics and Science Study Based on Homophily," Working Papers V-428-20, University of Oldenburg, Department of Economics, revised Feb 2020.
    12. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    13. Berlinski, Samuel & Busso, Matias & Giannola, Michele, 2023. "Helping struggling students and benefiting all: Peer effects in primary education," Journal of Public Economics, Elsevier, vol. 224(C).
    14. Dennis Epple & Richard Romano & Sinan Sarpça & Holger Sieg & Melanie Zaber, 2019. "Market power and price discrimination in the US market for higher education," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 201-225, March.
    15. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    16. Victor Lavy & Olmo Silva & Felix Weinhardt, 2009. "The Good, the Bad and the Average: Evidence on the Scale and Nature of Ability Peer Effects in Schools," NBER Working Papers 15600, National Bureau of Economic Research, Inc.
    17. Diette, Timothy M. & Uwaifo Oyelere, Ruth, 2012. "Do Significant Immigrant Inflows Create Negative Education Impacts? Lessons from the North Carolina Public School System," IZA Discussion Papers 6561, Institute of Labor Economics (IZA).
    18. Sofia Dokuka & Diliara Valeeva & Maria Yudkevich, 2015. "The Diffusion of Academic Achievements: Social Selection and Influence in Student Networks," HSE Working papers WP BRP 65/SOC/2015, National Research University Higher School of Economics.
    19. Brodaty, Thibault & Gurgand, Marc, 2016. "Good peers or good teachers? Evidence from a French University," Economics of Education Review, Elsevier, vol. 54(C), pages 62-78.
    20. Burgess, Simon, 2016. "Human Capital and Education: The State of the Art in the Economics of Education," IZA Discussion Papers 9885, Institute of Labor Economics (IZA).
    21. Stephen Gibbons & Shqiponja Telhaj, 2016. "Peer Effects: Evidence from Secondary School Transition in England," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 548-575, August.

    More about this item

    Statistics

    Access and download statistics

    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:bla:ausecr:v:47:y:2014:i:2:p:258-268. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.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.