IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v84y2021ics0272775721000704.html
   My bibliography  Save this article

The effect of technology funding on school-level student proficiency

Author

Listed:
  • Bass, Brittany

Abstract

This study presents new evidence on the effect of technology funding on school-level student proficiency. I exploit exogenous variation in school-level technology funding using the California Education Technology K-12 Voucher Program. The program provided eligible schools with technology vouchers to purchase qualifying hardware and software products and services. Using a regression discontinuity difference-in-difference design and data on voucher eligibility, voucher use, and school-level student proficiency, I find that voucher eligibility had no significant impact on school-level student proficiency, while voucher use had positive impacts on school-level student proficiency. The voucher use results are driven entirely by schools using the voucher funds for technology resources, but reallocating dollars initially earmarked for technology to other school inputs.

Suggested Citation

  • Bass, Brittany, 2021. "The effect of technology funding on school-level student proficiency," Economics of Education Review, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:ecoedu:v:84:y:2021:i:c:s0272775721000704
    DOI: 10.1016/j.econedurev.2021.102151
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775721000704
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2021.102151?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    2. 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.
    3. Veronica Grembi & Tommaso Nannicini & Ugo Troiano, 2016. "Do Fiscal Rules Matter?," American Economic Journal: Applied Economics, American Economic Association, vol. 8(3), pages 1-30, July.
    4. Joydeep Roy, 2011. "Impact of School Finance Reform on Resource Equalization and Academic Performance: Evidence from Michigan," Education Finance and Policy, MIT Press, vol. 6(2), pages 137-167, April.
    5. Edwin Leuven & Mikael Lindahl & Hessel Oosterbeek & Dinand Webbink, 2007. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 721-736, November.
    6. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    7. Card, David & Payne, A. Abigail, 2002. "School finance reform, the distribution of school spending, and the distribution of student test scores," Journal of Public Economics, Elsevier, vol. 83(1), pages 49-82, January.
    8. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    9. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    10. Maya Escueta & Vincent Quan & Andre Joshua Nickow & Philip Oreopoulos, 2017. "Education Technology: An Evidence-Based Review," NBER Working Papers 23744, National Bureau of Economic Research, Inc.
    11. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    12. Julien Lafortune & Jesse Rothstein & Diane Whitmore Schanzenbach, 2018. "School Finance Reform and the Distribution of Student Achievement," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 1-26, April.
    13. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
    14. C. Kirabo Jackson & Rucker C. Johnson & Claudia Persico, 2016. "The Effects of School Spending on Educational and Economic Outcomes: Evidence from School Finance Reforms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 157-218.
    15. Joshua Hyman, 2017. "Does Money Matter in the Long Run? Effects of School Spending on Educational Attainment," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 256-280, November.
    16. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    17. Papke, Leslie E., 2005. "The effects of spending on test pass rates: evidence from Michigan," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 821-839, June.
    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. Acton, Riley & Orr, Cody & Rogers, Salem, 2023. "Returns to School Spending in Rural America: Evidence from Wisconsin's Sparsity Aid Program," IZA Discussion Papers 15915, Institute of Labor Economics (IZA).
    2. Hideo Akabayashi & Shimpei Taguchi & Mirka Zvedelikova, 2023. "School ICT resources, teachers, and online education: Evidence from school closures in Japan during the COVID-19 pandemic," ISER Discussion Paper 1207, Institute of Social and Economic Research, Osaka University.

    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. María Orduz, 2022. "Effect of educational spending on academic performance under different institutional arrangements," Documentos CEDE 20224, Universidad de los Andes, Facultad de Economía, CEDE.
    2. Eric Brunner & Joshua Hyman & Andrew Ju, 2020. "School Finance Reforms, Teachers' Unions, and the Allocation of School Resources," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 473-489, July.
    3. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    4. Gigliotti, Philip & Sorensen, Lucy C., 2018. "Educational resources and student achievement: Evidence from the Save Harmless provision in New York State," Economics of Education Review, Elsevier, vol. 66(C), pages 167-182.
    5. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.
    6. Sungoh Kwon, 2017. "Does Public School Spending Raise Intergenerational Mobility?: Evidence from U.S. School Finance Reforms," Working papers 2017-06, University of Connecticut, Department of Economics.
    7. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2021. "A laptop for every child? The impact of technology on human capital formation," Labour Economics, Elsevier, vol. 69(C).
    8. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    9. Bianchi, Nicola & Lu, Yi & Song, Hong, 2022. "The effect of computer-assisted learning on students’ long-term development," Journal of Development Economics, Elsevier, vol. 158(C).
    10. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    11. Manon Garrouste & Miren Lafourcade, 2022. "Place-Based Policies: Opportunity for Deprived Schools or Zone-and-Shame Effect?," Post-Print hal-04329793, HAL.
    12. Benjamin Faber & Rosa Sanchis-Guarner & Felix Weinhardt, 2015. "ICT and Education: Evidence from Student Home Addresses," SERC Discussion Papers 0186, Centre for Economic Performance, LSE.
    13. Bo Zhao, 2023. "Estimating the cost function of connecticut public K–12 education: implications for inequity and inadequacy in school spending," Education Economics, Taylor & Francis Journals, vol. 31(4), pages 439-470, July.
    14. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    15. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    16. Aaron K. Chatterji, 2017. "Innovation and American K-12 Education," NBER Chapters, in: Innovation Policy and the Economy, Volume 18, pages 27-51, National Bureau of Economic Research, Inc.
    17. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    18. Michael Bates & Jeffrey Wooldridge & Lelsie papke, 2022. "Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels," Working Papers 202214, University of California at Riverside, Department of Economics.
    19. Edwin Leuven & Mikael Lindahl & Hessel Oosterbeek & Dinand Webbink, 2007. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 721-736, November.
    20. Matthew Ridley & Camille Terrier, 2018. "Fiscal and Education Spillovers from Charter School Expansion," NBER Working Papers 25070, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Technology funding; Resource allocations; Student achievement; School spending;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

    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:eee:ecoedu:v:84:y:2021:i:c:s0272775721000704. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.