IDEAS home Printed from https://ideas.repec.org/a/eso/journl/v46y2015i3p399-428.html
   My bibliography  Save this article

Are Classroom Internet Use and Academic Performance Higher after Government Broadband Subsidies to Primary Schools?

Author

Listed:
  • Marie Hyland

    (Economic and Social Research Institute, Dublin; Trinity College Dublin)

  • Richard Layte

    (Trinity College Dublin; Economic and Social Research Institute, Dublin)

  • Seán Lyons

    (Economic and Social Research Institute, Dublin Trinity College Dublin)

  • Selina McCoy

    (Economic and Social Research Institute, Dublin Trinity College Dublin)

  • Mary Silles

    (University of Hull, United Kingdom)

Abstract

This paper combines data from a government programme providing broadband access to primary schools in Ireland with anonymised survey microdata on schools’, teachers’ and pupils use of the internet to examine the links between public subsidies, classroom use of the internet and educational performance. The microdata are drawn from the 9-year-old cohort of the Growing Up in Ireland Study. We estimate regression models to identify the factors associated with internet use in the classroom and students’ scores on standardised reading and mathematics tests, and we check whether internet use is endogenous in the test score models. We find that provision of broadband service under the government scheme is associated with more than a doubling of teachers’ use of the internet in class after about a two year lag. Better computing facilities in schools are also associated with higher internet use, but advertised download speed is not statistically significant. Internet use in class is associated with significantly higher average mathematics and reading scores on standardised tests. A set of confounding factors is included, with results broadly in line with previous literature.

Suggested Citation

  • Marie Hyland & Richard Layte & Seán Lyons & Selina McCoy & Mary Silles, 2015. "Are Classroom Internet Use and Academic Performance Higher after Government Broadband Subsidies to Primary Schools?," The Economic and Social Review, Economic and Social Studies, vol. 46(3), pages 399-428.
  • Handle: RePEc:eso:journl:v:46:y:2015:i:3:p:399-428
    as

    Download full text from publisher

    File URL: https://www.esr.ie/article/view/400/116
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    2. Cheti Nicoletti & Birgitta Rabe, 2012. "The effect of school resources on test scores in England," Discussion Papers 12/19, Department of Economics, University of York.
    3. De Witte, Kristof & Geys, Benny & Solondz, Catharina, 2014. "Public expenditures, educational outcomes and grade inflation: Theory and evidence from a policy intervention in the Netherlands," Economics of Education Review, Elsevier, vol. 40(C), pages 152-166.
    4. Maresa Sprietsma, 2012. "Computers as pedagogical tools in Brazil: a pseudo-panel analysis," Education Economics, Taylor & Francis Journals, vol. 20(1), pages 19-32, November.
    5. Smyth, Emer & McCoy, Selina, 2009. "Investing in Education," Papers RB2009/3/3, Economic and Social Research Institute (ESRI).
    6. Austan Goolsbee & Jonathan Guryan, 2006. "The Impact of Internet Subsidies in Public Schools," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 336-347, May.
    7. Hægeland, Torbjørn & Raaum, Oddbjørn & Salvanes, Kjell G., 2012. "Pennies from heaven? Using exogenous tax variation to identify effects of school resources on pupil achievement," Economics of Education Review, Elsevier, vol. 31(5), pages 601-614.
    8. repec:fth:prinin:455 is not listed on IDEAS
    9. Smyth, Emer & McCoy, Selina, 2009. "Investing in Education: Combating Educational Disadvantage," Research Series, Economic and Social Research Institute (ESRI), number RS006.
    10. Rodrigo Belo & Pedro Ferreira & Rahul Telang, 2014. "Broadband in School: Impact on Student Performance," Management Science, INFORMS, vol. 60(2), pages 265-282, February.
    11. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    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. Coyne, Brian & McCoy, Selina, 2016. "The Student Perspective on In-school Personal Electronic Devices and Online Safety: A Qualitative Study," Papers WP547, Economic and Social Research Institute (ESRI).
    2. McCoy,Selina & Lyons,Seán & Coyne,Bryan & Darmody,Merike, 2017. "Teaching and Learning in Second- Level Schools at the Advent of High-Speed Broadband," Research Series, Economic and Social Research Institute (ESRI), number RS51.
    3. Daniele Checchi & Enrico Rettore & Silvia Girardi, 2019. "IC technology and learning: an impact evaluation of Cl@ssi 2.0," Education Economics, Taylor & Francis Journals, vol. 27(3), pages 241-264, May.
    4. Smyth, Emer & McCoy, Selina & Kingston, Gillian, 2015. "Learning from the Evaluation of DEIS," Research Series, Economic and Social Research Institute (ESRI), number RS39.

    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. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    2. Stephen Gibbons & Sandra McNally, 2013. "The Effects of Resources Across School Phases: A Summary of Recent Evidence," CEP Discussion Papers dp1226, Centre for Economic Performance, LSE.
    3. Mark Carlson & Kris James Mitchener, 2009. "Branch Banking as a Device for Discipline: Competition and Bank Survivorship during the Great Depression," Journal of Political Economy, University of Chicago Press, vol. 117(2), pages 165-210, April.
    4. Ilona Babenko & Benjamin Bennett & John M Bizjak & Jeffrey L Coles & Jason J Sandvik, 2023. "Clawback Provisions and Firm Risk," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 12(2), pages 191-239.
    5. Henrekson, Magnus & Johansson, Dan, 2010. "Firm Growth, Institutions and Structural Transformation," Ratio Working Papers 150, The Ratio Institute.
    6. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    7. KAMKOUM, Arnaud Cedric, 2023. "The Federal Reserve’s Response to the Global Financial Crisis and its Effects: An Interrupted Time-Series Analysis of the Impact of its Quantitative Easing Programs," Thesis Commons d7pvg, Center for Open Science.
    8. Wang, Xu & Zhang, Xiaobo & Xie, Zhuan & Huang, Yiping, 2016. "Roads to innovation: Firm-level evidence from China:," IFPRI discussion papers 1542, International Food Policy Research Institute (IFPRI).
    9. Olivier Bargain & Victor Stephane & Jérôme Valette, 2022. "Another brick in the wall. Immigration and electoral preferences: Direct evidence from state ballots," Review of International Economics, Wiley Blackwell, vol. 30(5), pages 1452-1477, November.
    10. Messer, Dolores & Wolter, Stefan C., 2005. "Are Student Exchange Programs Worth It?," IZA Discussion Papers 1656, Institute of Labor Economics (IZA).
    11. Aaron Jackson & William Miles, 2008. "Fixed Exchange Rates and Disinflation in Emerging Markets: How Large Is the Effect?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(3), pages 538-557, October.
    12. Berthélemy Michel & Bonev Petyo & Dussaux Damien & Söderberg Magnus, 2019. "Methods for strengthening a weak instrument in the case of a persistent treatment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-30, February.
    13. Fali Huang & Myoung-Jae Lee, 2010. "Dynamic treatment effect analysis of TV effects on child cognitive development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 392-419.
    14. Asadul Islam & Dietrich K. Fausten, 2008. "Skilled Immigration and Wages in Australia," The Economic Record, The Economic Society of Australia, vol. 84(s1), pages 66-82, September.
    15. Philip O’Connell, 2013. "Cautious adjustment in a context of economic collapse: The public sector in the Irish crises," Chapters, in: Daniel Vaughan-Whitehead (ed.), Public Sector Shock, chapter 9, pages 337-370, Edward Elgar Publishing.
    16. Richard Harris & John Moffat, 2011. "R&D, Innovation and Exporting," SERC Discussion Papers 0073, Centre for Economic Performance, LSE.
    17. Tesfaye, Wondimagegn & Tirivayi, Nyasha, 2020. "Crop diversity, household welfare and consumption smoothing under risk: Evidence from rural Uganda," World Development, Elsevier, vol. 125(C).
    18. Hope Corman & Dhaval Dave & Nancy E. Reichman, 2018. "Evolution of the Infant Health Production Function," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 6-47, July.
    19. Steven A. Boutcher & Jason N. Houle & Anna Raup‐Kounovksy & Carroll Seron, 2023. "A Faustian bargain? Rethinking the role of debt in law students' career choices," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(1), pages 166-195, March.
    20. Markus Brückner & Antonio Ciccone, 2011. "Rain and the Democratic Window of Opportunity," Econometrica, Econometric Society, vol. 79(3), pages 923-947, May.

    More about this item

    Keywords

    internet use; subsidies; primary education;
    All these keywords.

    JEL classification:

    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:eso:journl:v:46:y:2015:i:3:p:399-428. 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: Aedin Doris (email available below). General contact details of provider: https://www.esr.ie .

    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.