IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp12206.html
   My bibliography  Save this paper

The Impact of Bullying Victimisation on Mental Wellbeing

Author

Listed:
  • Chrysanthou, Georgios Marios

    (University of Sheffield)

  • Vasilakis, Chrysovalantis

    (Bangor University)

Abstract

We investigate the impact of nine types of adolescent (verbal, physical, indirect) school/domestic bullying on life satisfaction, and two mental health outcomes (emotional symptoms and hyperactivity/inattention) using the Understanding Society dataset during 2009-13. Bullying significantly increases hyperactive, inattentive and emotional symptoms and reduces life satisfaction. Non-domestic bullying has a stronger adverse impact on all three mental wellbeing outcomes. Domestic sibling victimisation does not affect life satisfaction. Lower levels of family income increase adolescent hyperactive/inattentive symptoms and reduce life satisfaction. Females are more vulnerable to emotional symptoms while males report higher levels of life satisfaction. Initial conditions precondition hyperactive and inattentive symptoms.

Suggested Citation

  • Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2019. "The Impact of Bullying Victimisation on Mental Wellbeing," IZA Discussion Papers 12206, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12206
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp12206.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    2. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2018. "The Dynamics and Determinants of Bullying Victimisation," IZA Discussion Papers 11902, Institute of Labor Economics (IZA).
    3. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    4. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    5. Chris Muris, 2017. "Estimation in the Fixed-Effects Ordered Logit Model," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 465-477, July.
    6. Alfonso Miranda & Sophia Rabe-Hesketh, 2006. "Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables," Stata Journal, StataCorp LP, vol. 6(3), pages 285-308, September.
    7. Wooldridge, Jeffrey M., 2014. "Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables," Journal of Econometrics, Elsevier, vol. 182(1), pages 226-234.
    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. Georgios Marios Chrysanthou, 2021. "A Multiple Cohort Study of the Gender Gradient of Life Satisfaction during Adolescence: Longitudinal Evidence from Great Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1341-1376, December.
    2. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2020. "Protecting the mental health of future adults: Disentangling the determinants of adolescent bullying victimisation," Social Science & Medicine, Elsevier, vol. 253(C).
    3. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2018. "The Dynamics and Determinants of Bullying Victimisation," IZA Discussion Papers 11902, Institute of Labor Economics (IZA).
    4. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2018. "The Dynamics and Determinants of Bullying Victimisation," IZA Discussion Papers 11902, Institute of Labor Economics (IZA).

    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. Georgios Marios Chrysanthou & Chrysovalantis Vasilakis, 2018. "The Dynamics and Determinants of Bullying Victimisation," LIDAM Discussion Papers IRES 2018012, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    2. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2018. "The Dynamics and Determinants of Bullying Victimisation," IZA Discussion Papers 11902, Institute of Labor Economics (IZA).
    3. Chrysanthou, Georgios Marios & Vasilakis, Chrysovalantis, 2020. "Protecting the mental health of future adults: Disentangling the determinants of adolescent bullying victimisation," Social Science & Medicine, Elsevier, vol. 253(C).
    4. Reyes, Alvaro & Lensink, Robert & Kuyvenhoven, Arie & Moll, Henk, 2012. "Dynamics of Investment for Market-Oriented Farmers in Chile," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126218, International Association of Agricultural Economists.
    5. Rabe-Hesketh, Sophia & Skrondal, Anders, 2013. "Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem," Economics Letters, Elsevier, vol. 120(2), pages 346-349.
    6. Raymond, Wladimir & Mairesse, Jacques & Mohnen, Pierre & Palm, Franz, 2015. "Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing," European Economic Review, Elsevier, vol. 78(C), pages 285-306.
    7. Christopher F. Baum & Mustafa Caglayan & Oleksandr Talavera, 2016. "R&D Expenditures and Geographical Sales Diversification," Manchester School, University of Manchester, vol. 84(2), pages 197-221, March.
    8. Sebastian Königs, 2013. "The Dynamics of Social Assistance Benefit Receipt in Germany: State Dependence Before and After the Hartz Reforms," OECD Social, Employment and Migration Working Papers 136, OECD Publishing.
    9. Ehsan Khoman & James Mitchell & Martin Weale, 2008. "Incidence‐based estimates of life expectancy of the healthy for the UK: coherence between transition probabilities and aggregate life‐tables," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 203-222, January.
    10. Manudeep Bhuller & Christian N. Brinch & Sebastian Königs, 2017. "Time Aggregation and State Dependence in Welfare Receipt," Economic Journal, Royal Economic Society, vol. 127(604), pages 1833-1873, September.
    11. Bartolucci, Francesco & Pigini, Claudia, 2017. "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 78(i07).
    12. Minjeong Jeon & Sophia Rabe-Hesketh, 2016. "An autoregressive growth model for longitudinal item analysis," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 830-850, September.
    13. Braeden Van Deynze & Scott M. Swinton & David A. Hennessy, 2022. "Are glyphosate‐resistant weeds a threat to conservation agriculture? Evidence from tillage practices in soybeans," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 645-672, March.
    14. Dimitri Dubois & Stefano Farolfi & Phu Nguyen-Van & Juliette Rouchier, 2018. "Information sharing is not always the right option when it comes to CPR extraction management : experimental finding," CEE-M Working Papers hal-01947419, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    15. Eleni (E.) Aristodemou, 2018. "Semiparametric Identification in Panel Data Discrete Response Models," Tinbergen Institute Discussion Papers 18-065/III, Tinbergen Institute.
    16. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," CESifo Working Paper Series 1992, CESifo.
    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. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
    19. Moscone, F. & Tosetti, E. & Vittadini, G., 2016. "The impact of precarious employment on mental health: The case of Italy," Social Science & Medicine, Elsevier, vol. 158(C), pages 86-95.
    20. Aristodemou, Eleni, 2021. "Semiparametric identification in panel data discrete response models," Journal of Econometrics, Elsevier, vol. 220(2), pages 253-271.

    More about this item

    Keywords

    bullying; mental health; life satisfaction; unobserved heterogeneity;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp12206. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    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.