Abstract
This study investigates the effects of behavioural and emotional problems in children on their educational outcomes using data from the Longitudinal Survey of Australian Children (LSAC). We contribute to the extant literature using a dynamic specification to test the hypothesis of knowledge accumulation. Further, we apply the system generalised method of moments (GMM) estimator to minimise biases due to unobserved factors. We find that mental disorders in children has a negative effect on the National Assessment Program—Literacy and Numeracy (NAPLAN) test scores. Among all mental disorders, having emotional problems is found to be the most influential with one standard deviation (SD) increase in emotional problems being associated with 0.05 SD reduction in NAPLAN reading, writing and spelling; 0.04 SD reduction in matrix reasoning and grammar; and 0.03 SD reduction in NAPLAN numeracy.
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Notes
Please see Appendix1 to view the questions used to measure these SDQ scores.
References
ABS. (2014). “Births, Australia, 2013”, Cat No. 3301.0, Canberra: Australian Bureau of Statistics.
AIHW. (2016). Australia’s health 2016. Australia’s health no. 15. Cat. no. AUS 199.Canberra: AIHW.
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58, 277–297.
Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68, 29–51.
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143.
Burgess, S., & Greaves, E. (2013). Test scores, subjective assessment, and stereotyping of ethnic minorities. Journal of Labor Economics, 31, 535–576.
Cornaglia, F., Crivellaro, E., & McNally, S. (2015). Mental health and education decisions. Labour Economics, 33, 1–12.
Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economic Review, 97(2), 31–47.
Cunha, F., Heckman, J. J., & Schennach, S. M. (2010). Estimating the technology of cognitive and noncognitive skill formation. Econometrica, 78, 883–931.
Currie, J., & Stabile, M. (2006). Child mental health and human capital accumulation: The case of ADHD. Journal of Health Economics, 25, 1094–1118.
Eisenberg, D., Downs, M. F., Golberstein, E., & Zivin, K. (2009). Stigma and help seeking for mental health among college students. Medical Care Research and Review, 66, 522–541.
Fletcher, J., & Wolfe, B. (2008). Child mental health and human capital accumulation: The case of ADHD revisited. Journal of Health Economics, 27, 794–800.
Fletcher, J. M. 2010. Adolescent depression and educational attainment: Results using sibling fixed effects. Health Economics, 19, 855–871.
Heckman, J. J. (2006). Skill formation and the economics of investing in disadvantaged children. Science, 312, 1900–1902.
Johnston, D., Propper, C., Pudney, S., & Shields, M. (2014a). Child mental health and educational attainment: Multiple observers and the measurement error problem. Journal of Applied Econometrics, 29, 880–900.
Johnston, D., Propper, C., Pudney, S. E., & Shields, M. A. (2014b). The income gradient in childhood mental health: All in the eye of the beholder?. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177, 807–827.
Jurges, H., Schwarz, A., Abdeen, Z., & Cahan, S. (2015). Political conflict, child mental health, and cognitive development.” In Annual Conference 2015 (Muenster): Economic Development-Theory and Policy. Vereinfür Socialpolitik/German Economic Association, p. 113146.
Kessler, R. C., Matthias, A., Anthony, J. C., De Graaf, R., Demyttenaere, K., Gasquet, I., De Girolamo, G., Gluzman, S., Gureje, O., Haro, J. et al. (2007). Lifetime prevalence and age-of-onset distributions of mental disorders in the World Health Organization’s World Mental Health Survey Initiative. World Psychiatry, 6(3), 168–176.
Khanam, R., & Nghiem, S. (2016). Family income and child cognitive and noncognitive development in Australia: Does money matter? Demography, 53(3), 597–621.
Kieling, C., Baker-Henningham, H., Belfer, M., Conti, G., Ertem, I., Omigbodun, O., Rohde, L. A., Srinath, S., Ulkuer, N., & Rahman, A. 2011. Child and adolescent mental health worldwide:evidence for action. The Lancet, 378, 1515–1525.
Lawrence, D., Johnson, S., Hafekost, J., de Haan, K. B., Sawyer, M., & Ainley, J., Zubrick, S. R. (2015). The Mental Health of Children and Adolescents: Report on the Second Australian Child andAdolescent Survey of Mental Health and Wellbeing. Canberra: Department of Health
Mundlak, Y. (1978) On the pooling of time series and cross-section data. Econometrica, 69–85.
Muris, P., Meesters, C., & van den Berg, F. (2003). The strengths and difficulties questionnaire (SDQ). European Child & Adolescent Psychiatry, 12, 1–8.
Patel, V., Flisher, A. J., Hetrick, S., & McGorry, P. (2007). Mental health of young people: A global public-health challenge. The Lancet, 369, 1302–1313.
Soloff, C., Lawrence, D., & Johnstone, R. (2005). LSAC technical paper no. 1: Sample design. Melbourne: Australian Institute of Family Studies.
Acknowledgements
We are grateful to Professor Hendrik Jürges and Dr David Rowel for their helpful feedback on the paper. We would like to thank Maisha Rahman and Hazel Jones for proofreading the paper. We are also grateful to the three anonymous referees and editor of the journal for their suggestions, which have greatly improved the paper.
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Appendix 1
Appendix 1
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Khanam, R., Nghiem, S. Behavioural and Emotional Problems in Children and Educational Outcomes: A Dynamic Panel Data Analysis. Adm Policy Ment Health 45, 472–483 (2018). https://doi.org/10.1007/s10488-017-0837-7
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DOI: https://doi.org/10.1007/s10488-017-0837-7