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Adolescent School Bullying Victimisation and Later Life Outcomes

Author

Listed:
  • Emma Gorman

    (University of Westminster & IZA, Bonn)

  • Colm Harmon

    (University of Edinburgh)

  • Silvia Mendolia

    (University of Edinburgh & IZA, Bonn)

  • Anita Staneva

    (Griffith University)

  • Ian Walker

    (Lancaster University Management School & IZA, Bonn)

Abstract

We analyse the long-term effects of experiencing bullying victimisation in junior high school, using rich data on a large cohort of English adolescents. The data contain self-reports of five types of bullying and their frequency, for three waves, when the pupils were aged 13 to 16 years. We assess the effects of bullying victimisation on short- and long-term outcomes, including educational achievements, earnings, and mental ill-health at age 25 years using a variety of estimation strategies -- least squares, matching, and inverse probability weighting. We also consider attenuation associated with relying on self-reports. The detailed longitudinal data, linked to administrative data, allows us to control for many of the determinants of child outcomes that have been explored in previous literature, together with comprehensive sensitivity analyses, to assess the potential role of unobserved variables. The pattern of results strongly suggests that there are quantitatively important long run effects on victims -- stronger than correlation analysis would otherwise suggest. In particular, we find that both type of bullying and its intensity matters for long run outcomes such as obtaining a degree, income, and mental health.

Suggested Citation

  • Emma Gorman & Colm Harmon & Silvia Mendolia & Anita Staneva & Ian Walker, 2020. "Adolescent School Bullying Victimisation and Later Life Outcomes," CEPEO Working Paper Series 20-05, UCL Centre for Education Policy and Equalising Opportunities, revised Feb 2020.
    • Handle: RePEc:ucl:cepeow:20-05
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    1. Murphy, Richard & Scott-Clayton, Judith & Wyness, Gill, 2017. "The end of free college in England: implications for quality, enrolments and equity," LSE Research Online Documents on Economics 86593, London School of Economics and Political Science, LSE Library.
    2. Mario Fiorini & Michael P. Keane, 2014. "How the Allocation of Children's Time Affects Cognitive and Noncognitive Development," Journal of Labor Economics, University of Chicago Press, vol. 32(4), pages 787-836.
    3. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    4. Jake Anders, 2012. "Using the Longitudinal Study of Young People in England for research into Higher Education access," DoQSS Working Papers 12-13, Quantitative Social Science - UCL Social Research Institute, University College London.
    5. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2018. "The Dynamics and Determinants of Bullying Victimisation," IZA Discussion Papers 11902, Institute of Labor Economics (IZA).
    6. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    7. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    8. Ammermueller, Andreas, 2012. "Violence in European schools: A widespread phenomenon that matters for educational production," Labour Economics, Elsevier, vol. 19(6), pages 908-922.
    9. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    10. Paul Bingley & Alessandro Martinello, 2017. "Measurement Error in Income and Schooling and the Bias of Linear Estimators," Journal of Labor Economics, University of Chicago Press, vol. 35(4), pages 1117-1148.
    11. Light Audrey & Flores-Lagunes Alfonso, 2006. "Measurement Error in Schooling: Evidence from Samples of Siblings and Identical Twins," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(1), pages 1-35, May.
    12. Richard Murphy & Judith Scott-Clayton & Gill Wyness, 2017. "The end of free college in England," CentrePiece - The magazine for economic performance 503, Centre for Economic Performance, LSE.
    13. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    14. Silvia Mendolia & Ian Walker, 2015. "Youth unemployment and personality traits," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-26, December.
    15. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    16. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    17. Ponzo, Michela, 2013. "Does bullying reduce educational achievement? An evaluation using matching estimators," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1057-1078.
    18. Oecd, 2017. "How much of a problem is bullying at school?," PISA in Focus 74, OECD Publishing.
    19. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    20. Scott E. Carrell & Mark L. Hoekstra, 2010. "Externalities in the Classroom: How Children Exposed to Domestic Violence Affect Everyone's Kids," American Economic Journal: Applied Economics, American Economic Association, vol. 2(1), pages 211-228, January.
    21. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    22. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    23. Brown, Sarah & Taylor, Karl, 2008. "Bullying, education and earnings: Evidence from the National Child Development Study," Economics of Education Review, Elsevier, vol. 27(4), pages 387-401, August.
    24. Delprato, Marcos & Akyeampong, Kwame & Dunne, Máiréad, 2017. "The impact of bullying on students’ learning in Latin America: A matching approach for 15 countries," International Journal of Educational Development, Elsevier, vol. 52(C), pages 37-57.
    25. Borra, Cristina & Iacovou, Maria & Sevilla, Almudena, 2012. "The effect of breastfeeding on children's cognitive and noncognitive development," Labour Economics, Elsevier, vol. 19(4), pages 496-515.
    26. David P. Farrington & Maria M. Ttofi, 2009. "School‐Based Programs to Reduce Bullying and Victimization," Campbell Systematic Reviews, John Wiley & Sons, vol. 5(1), pages -148.
    27. Daniel I. Rees & Joseph J. Sabia & Gokhan Kumpas, 2020. "Anti-Bullying Laws and Suicidal Behaviors among Teenagers," NBER Working Papers 26777, National Bureau of Economic Research, Inc.
    28. Silvia Mendolia & Ian Walker, 2015. "Youth unemployment and the effect of personality traits," Working Papers 84097960, Lancaster University Management School, Economics Department.
    29. Colm P. Harmon, 2017. "How effective is compulsory schooling as a policy instrument?," IZA World of Labor, Institute of Labor Economics (IZA), pages 348-348, March.
    30. Tine Louise Mundbjerg Eriksen & Helena Skyt Nielsen & Marianne Simonsen, 2014. "Bullying in Elementary School," Journal of Human Resources, University of Wisconsin Press, vol. 49(4), pages 839-871.
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    Cited by:

    1. Jungup Lee & Mijin Choi & Margaret M. Holland & Melissa Radey & Stephen J. Tripodi, 2022. "Childhood Bullying Victimization, Substance Use and Criminal Activity among Adolescents: A Multilevel Growth Model Study," IJERPH, MDPI, vol. 20(1), pages 1-16, December.
    2. Bracco, Emanuele & De Paola, Maria & Green, Colin & Scoppa, Vincenzo, 2022. "The spillover of anti-immigration politics to the schoolyard," Labour Economics, Elsevier, vol. 75(C).
    3. McKendrick, Andrew & Walker, Ian, 2020. "The Role of Faith and Faith Schooling in Educational, Economic, and Faith Outcomes," IZA Discussion Papers 13192, Institute of Labor Economics (IZA).
    4. Bihua Zhao & Junqiao Guo & Qingqing He & Linlin Jiang & Wenxin Hu, 2023. "School Bullying Victimization Types of Primary School Students and Associations with School Adaptation: a Latent Profile Analysis," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(2), pages 755-775, April.

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    More about this item

    Keywords

    bullying; education outcomes; long term outcomes;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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