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Long term economic impact associated with childhood bullying victimisation

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  • Brimblecombe, Nicola
  • Evans-Lacko, Sara
  • Knapp, Martin
  • King, Derek
  • Takizawa, Ryu
  • Maughan, Barbara
  • Arseneault, Louise

Abstract

Being bullied is associated with mental health problems in childhood, with increasing evidence of persisting negative impacts, and increased mental health service use, into adulthood. There are also impacts of bullying victimisation on employment, income and being in poverty, but little is known about the long-term economic impacts. We therefore aimed to estimate the most important economic consequences at age 50 of being bullied in childhood: to our knowledge this is the first study that does so. Using 1958 British birth cohort data collected in 1965, 1969, 1991, 2003 and 2008 (study samples size 7323–9242), we find substantial and durable individual and societal economic impacts four decades after the childhood bullying occurred. Both men and women who were bullied in childhood were less likely to be in employment and had accumulated less wealth in the form of home-ownership or savings than participants who were not bullied. Individual earnings from paid employment were lower for women who were bullied in childhood. Frequent bullying in childhood was also associated with higher societal employment-related costs for men and higher health service costs for women. Our findings underline the importance of preventing bullying in childhood and, as the consequences are so long-lasting and pervasive, supporting people still experiencing the negative consequences in the decades that follow.

Suggested Citation

  • Brimblecombe, Nicola & Evans-Lacko, Sara & Knapp, Martin & King, Derek & Takizawa, Ryu & Maughan, Barbara & Arseneault, Louise, 2018. "Long term economic impact associated with childhood bullying victimisation," Social Science & Medicine, Elsevier, vol. 208(C), pages 134-141.
  • Handle: RePEc:eee:socmed:v:208:y:2018:i:c:p:134-141
    DOI: 10.1016/j.socscimed.2018.05.014
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    1. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Knapp, Martin & McDaid, David & Parsonage, Michael, 2011. "Mental health promotion and mental illness prevention: the economic case," LSE Research Online Documents on Economics 32311, London School of Economics and Political Science, LSE Library.
    3. Michael J. Thomas & Clara H. Mulder, 2016. "Partnership patterns and homeownership: a cross-country comparison of Germany, the Netherlands and the United Kingdom," Housing Studies, Taylor & Francis Journals, vol. 31(8), pages 935-963, November.
    4. Richard Blundell & Antoine Bozio & Guy Laroque, 2013. "Extensive and Intensive Margins of Labour Supply: Work and Working Hours in the US, the UK and France," Fiscal Studies, Institute for Fiscal Studies, vol. 34(1), pages 1-29, March.
    5. McMahon, Elaine M. & Reulbach, Udo & Keeley, Helen & Perry, Ivan J. & Arensman, Ella, 2010. "Bullying victimisation, self harm and associated factors in Irish adolescent boys," Social Science & Medicine, Elsevier, vol. 71(7), pages 1300-1307, October.
    6. Gower, Amy L. & McMorris, Barbara J. & Eisenberg, Marla E., 2015. "School-level contextual predictors of bullying and harassment experiences among adolescents," Social Science & Medicine, Elsevier, vol. 147(C), pages 47-53.
    7. 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.
    8. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    9. Glen R. Waddell, 2006. "Labor-Market Consequences of Poor Attitude and Low Self-Esteem in Youth," Economic Inquiry, Western Economic Association International, vol. 44(1), pages 69-97, January.
    10. Stella Chatzitheochari & Samantha Parsons & Lucinda Platt, 2014. "Bullying experiences among disabled children and young people in England: Evidence from two longitudinal studies," DoQSS Working Papers 14-11, Quantitative Social Science - UCL Social Research Institute, University College London.
    11. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    1. Bo Hu & Deborah Carr, 2021. "Is Bullying Victimization in Childhood Associated With Mental Health in Old Age [The long-term impact]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 161-172.
    2. McDaid, David & Park, A-La & Wahlbeck, Kristian, 2019. "The economic case for the prevention of mental illness," LSE Research Online Documents on Economics 100054, London School of Economics and Political Science, LSE Library.
    3. Kim, Jun Hyung & Hahlweg, Kurt & Schulz, Wolfgang, 2021. "Early childhood parenting and adolescent bullying behavior: Evidence from a randomized intervention at ten-year follow-up," Social Science & Medicine, Elsevier, vol. 282(C).
    4. Jacinta Francis & Gina Trapp & Natasha Pearce & Sharyn Burns & Donna Cross, 2022. "School Built Environments and Bullying Behaviour: A Conceptual Model Based on Qualitative Interviews," IJERPH, MDPI, vol. 19(23), pages 1-16, November.
    5. Francis, Jacinta & Strobel, Natalie & Trapp, Gina & Pearce, Natasha & Vaz, Sharmila & Christian, Hayley & Runions, Kevin & Martin, Karen & Cross, Donna, 2022. "How does the school built environment impact students’ bullying behaviour? A scoping review," Social Science & Medicine, Elsevier, vol. 314(C).
    6. Bo Hu, 2021. "Childhood adversity and healthy ageing: a study of the Chinese older population," European Journal of Ageing, Springer, vol. 18(4), pages 523-535, December.
    7. Liu, Yanrong & Hu, Feng, 2021. "Being bullied at school as a child, worse health as an adult? Evidence from China," International Journal of Educational Development, Elsevier, vol. 82(C).

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