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Smartphone Bans, Student Outcomes and Mental Health

Author

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  • Abrahamsson, Sara

    (Dept. of Economics, Norwegian School of Economics and Business Administration)

Abstract

How smartphone usage affects well-being and learning among children and adolescents is a concern for schools, parents, and policymakers. Combining detailed administrative data with survey data on middle schools’ smartphone policies, together with an event-study design, I show that banning smartphones significantly decreases the health care take-up for psychological symptoms and diseases among girls. Post-ban bullying among both genders decreases. Additionally, girls’ GPA improves, and their likelihood of attending an academic high school track increases. These effects are larger for girls from low socio-economic backgrounds. Hence, banning smartphones from school could be a low-cost policy tool to improve student outcomes.

Suggested Citation

  • Abrahamsson, Sara, 2024. "Smartphone Bans, Student Outcomes and Mental Health," Discussion Paper Series in Economics 1/2024, Norwegian School of Economics, Department of Economics.
  • Handle: RePEc:hhs:nhheco:2024_001
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    File URL: https://openaccess.nhh.no/nhh-xmlui/handle/11250/3119200
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    1. Björklund, Anders & Salvanes, Kjell G., 2011. "Education and Family Background: Mechanisms and Policies," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 3, pages 201-247, Elsevier.
    2. Gordon B. Dahl & Lance Lochner, 2012. "The Impact of Family Income on Child Achievement: Evidence from the Earned Income Tax Credit," American Economic Review, American Economic Association, vol. 102(5), pages 1927-1956, August.
    3. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    4. Bütikofer, Aline & Ginja, Rita & Landaud, Fanny & Løken, Katrine V., 2020. "School Selectivity, Peers, and Mental Health," Working Papers in Economics 5/20, University of Bergen, Department of Economics.
    5. repec:ces:ceswps:_9676 is not listed on IDEAS
    6. Luca Braghieri & Ro'ee Levy & Alexey Makarin, 2022. "Social Media and Mental Health," American Economic Review, American Economic Association, vol. 112(11), pages 3660-3693, November.
    7. 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.
    8. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    9. Christopher Jepsen, 2015. "Class size: Does it matter for student achievement?," World of Labour, LISER, pages 190-190, September.
    10. Juanna Schrøter Joensen & Helena Skyt Nielsen, 2009. "Is there a Causal Effect of High School Math on Labor Market Outcomes?," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
    11. Lisa Barrow & Lisa Markman & Cecilia Elena Rouse, 2009. "Technology's Edge: The Educational Benefits of Computer-Aided Instruction," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 52-74, February.
    12. Daniel I. Rees & Joseph J. Sabia & Gokhan Kumpas, 2022. "Anti‐Bullying Laws and Suicidal Behaviors Among Teenagers," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(3), pages 787-823, June.
    13. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    14. 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.
    15. Prashant Bharadwaj & Giacomo De Giorgi & David Hansen & Christopher Neilson, 2015. "The gender gap in mathematics: evidence from a middle-income country," Staff Reports 721, Federal Reserve Bank of New York.
    16. Stijn Baert & Sunčica Vujić & Simon Amez & Matteo Claeskens & Thomas Daman & Arno Maeckelberghe & Eddy Omey & Lieven De Marez, 2020. "Smartphone Use and Academic Performance: Correlation or Causal Relationship?," Kyklos, Wiley Blackwell, vol. 73(1), pages 22-46, February.
    17. Michela Carlana, 2019. "Implicit Stereotypes: Evidence from Teachers’ Gender Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1163-1224.
    18. Lundborg, Petter & Nilsson, Anton & Rooth, Dan-Olof, 2014. "Adolescent health and adult labor market outcomes," Journal of Health Economics, Elsevier, vol. 37(C), pages 25-40.
    19. Eric A. Hanushek & Guido Schwerdt & Ludger Woessmann & Lei Zhang, 2017. "General Education, Vocational Education, and Labor-Market Outcomes over the Lifecycle," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 48-87.
    20. Nick Drydakis, 2014. "Bullying at school and labour market outcomes," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(8), pages 1185-1211, October.
    21. Terrier, Camille, 2020. "Boys lag behind: How teachers’ gender biases affect student achievement," Economics of Education Review, Elsevier, vol. 77(C).
    22. 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.
    23. Kessel, Dany & Hardardottir, Hulda Lif & Tyrefors, Björn, 2020. "The impact of banning mobile phones in Swedish secondary schools," Economics of Education Review, Elsevier, vol. 77(C).
    24. Martha J. Bailey & Andrew Goodman-Bacon, 2015. "The War on Poverty's Experiment in Public Medicine: Community Health Centers and the Mortality of Older Americans," American Economic Review, American Economic Association, vol. 105(3), pages 1067-1104, March.
    25. Lavy, Victor, 2008. "Do gender stereotypes reduce girls' or boys' human capital outcomes? Evidence from a natural experiment," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2083-2105, October.
    26. Rahi Abouk & Scott Adams, 2013. "Texting Bans and Fatal Accidents on Roadways: Do They Work? Or Do Drivers Just React to Announcements of Bans?," American Economic Journal: Applied Economics, American Economic Association, vol. 5(2), pages 179-199, April.
    27. Peter Fredriksson & Björn Öckert & Hessel Oosterbeek, 2013. "Long-Term Effects of Class Size," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 249-285.
    28. Donati, Dante & Durante, Ruben & Sobbrio, Francesco & Zejcirovic, Dijana, 2025. "Lost in the net? Broadband internet and youth mental health," Journal of Health Economics, Elsevier, vol. 103(C).
    29. 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.
    30. Janet Currie & Mark Stabile & Phongsack Manivong & Leslie L. Roos, 2010. "Child Health and Young Adult Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    31. Daniel Kardefelt Winther & UNICEF Office of Research - Innocenti, 2017. "How Does The Time Children Spend Using Digital Technology Impact Their Mental Well-Being, Social Relationships And Physical Activity? An Evidence-Focused Literature Review," Papers indipa925, Innocenti Discussion Papers.
    32. Pilar Beneito & Óscar Vicente-Chirivella, 2022. "Banning mobile phones in schools: evidence from regional-level policies in Spain," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 30(90), pages 153-175, January.
    33. Beland, Louis-Philippe & Murphy, Richard, 2016. "Ill Communication: Technology, distraction & student performance," Labour Economics, Elsevier, vol. 41(C), pages 61-76.
    34. Pekkarinen, Tuomas, 2012. "Gender Differences in Education," IZA Discussion Papers 6390, IZA Network @ LISER.
    35. Reiss, Franziska, 2013. "Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review," Social Science & Medicine, Elsevier, vol. 90(C), pages 24-31.
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    Cited by:

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    3. Pham, Thi Trang & Wong, Pui Hang, 2025. "Internet Access and Youth’s Mental Health and Well-being," MERIT Working Papers 2025-007, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Sanchis-Guarner, Rosa & Montalbán, José & Weinhardt, Felix, 2025. "Home broadband and human capital formation," Economics of Education Review, Elsevier, vol. 108(C).

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    Keywords

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    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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