IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/36711.html

Child Social Maladjustment and Adult Employment Dynamics

Author

Listed:
  • Sciulli, Dario

Abstract

This paper investigates the effect of social maladjustment at age 11 on adult employment probability. Social maladjustment is measured according to the British Social Adjustment Guide score provided by the National Child Development Study that also provides information on cohort-members both in childhood and adulthood, including current employment status and past working history. The econometric method consists in a dynamic probit model with unobserved heterogeneity accounting for true state dependence and initial conditions problem. Consistently with the previous literature, we find that social maladjustment during childhood determines a lower employment probability in adulthood. This result holds also after controlling for true state dependence and past working history. Interestingly, the adult employment probability of socially maladjusted children is prone to greater variability according to life experiences than that of socially adjusted children. We find that being employed in the previous period, education, young-adulthood working experiences and, for females, early working experiences increases the adult employment probability for all cohort-members. However the positive effect is stronger for socially maladjusted children and, overall, investment in higher education seems to be relevant. This suggests that interventions during life development for socially maladjusted children could be important to reduce inequality in adult employment probability.

Suggested Citation

  • Sciulli, Dario, 2012. "Child Social Maladjustment and Adult Employment Dynamics," MPRA Paper 36711, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:36711
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/36711/1/MPRA_paper_36711.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrew Healey & Martin Knapp & David Farrington, 2004. "Adult labour market implications of antisocial behaviour in childhood and adolescence: findings from a UK longitudinal study," Applied Economics, Taylor & Francis Journals, vol. 36(2), pages 93-105.
    2. Jones, A. & Rice, N. & Rosa Dias, P., 2010. "Long-term effects of cognitive skills, social adjustment and schooling on health and lifestyle: Evidence from a reform of selective schooling," Health, Econometrics and Data Group (HEDG) Working Papers 10/11, HEDG, c/o Department of Economics, University of York.
    3. James Heckman & Pedro Carneiro, 2003. "Human Capital Policy," NBER Working Papers 9495, National Bureau of Economic Research, Inc.
    4. Yona Rubinstein & James J. Heckman, 2001. "The Importance of Noncognitive Skills: Lessons from the GED Testing Program," American Economic Review, American Economic Association, vol. 91(2), pages 145-149, May.
    Full references (including those not matched with items on IDEAS)

    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. Lindsey Macmillan & Emma Tominey, 2023. "Parental inputs and socio-economic gaps in early child development," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(3), pages 1513-1543, July.
    2. Mendolia, Silvia & Walker, Ian, 2014. "The effect of personality traits on subject choice and performance in high school: Evidence from an English cohort," Economics of Education Review, Elsevier, vol. 43(C), pages 47-65.
    3. Michael Lechner & Paul Downward, 2017. "Heterogeneous sports participation and labour market outcomes in England," Applied Economics, Taylor & Francis Journals, vol. 49(4), pages 335-348, January.
    4. Wang, Chunchao & Wang, Yao & Xiao, Aiping & Zhang, Yaru & Zou, Hang, 2025. "Student development in teacher–student interaction: Evidence from a randomized experiment in online education," Journal of Public Economics, Elsevier, vol. 242(C).
    5. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, IZA Network @ LISER.
    6. Djavad Salehi-Isfahani & Russell D. Murphy, 2006. "Labor market flexibility and investment in human capital," Working Papers e06-5, Virginia Polytechnic Institute and State University, Department of Economics.
    7. Martins, Pedro S., 2017. "Can Non-Cognitive Skills Programs Improve Achievement? Quasi-Experimental Evidence from EPIS," GLO Discussion Paper Series 105, Global Labor Organization (GLO).
    8. Jo Blanden & Paul Gregg & Lindsey Macmillan, 2006. "Explaining Intergenerational Income Persistence: Non-cognitive Skills, Ability and Education," The Centre for Market and Public Organisation 06/146, The Centre for Market and Public Organisation, University of Bristol, UK.
    9. Tassew Woldehanna, . "The Effects of Early Childhood Education Attendance on Cognitive Development: evidence from Urban Ethiopia," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 20(01).
    10. Matthias Doepke, "undated". "Patience Capital, Occupational Choice, and the Spirit of Capitalism," UCLA Economics Online Papers 410, UCLA Department of Economics.
    11. Pedro S. Martins, 2017. "(How) Do Non-Cognitive Skills Programs Improve Adolescent School Achievement? Experimental Evidence," Working Papers 81, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    12. Sciulli, Dario, 2016. "Adult employment probabilities of socially maladjusted children," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 60(C), pages 9-22.
    13. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
    14. Moroni, Gloria & Nicoletti, Cheti & Tominey, Emma, 2019. "Child Socio-Emotional Skills: The Role of Parental Inputs," IZA Discussion Papers 12432, IZA Network @ LISER.
    15. Lee, Sun Youn & Ohtake, Fumio, 2018. "Is being agreeable a key to success or failure in the labor market?," Journal of the Japanese and International Economies, Elsevier, vol. 49(C), pages 8-27.
    16. Gottlieb, Daniel & Moreira, Humberto Ataíde & Araújo, Aloísio Pessoa de, 2004. "A model of mixed signals with applications to countersignaling an the GED," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 553, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    17. Ross Levine & Yona Rubinstein, 2013. "Liberty for More: Finance and Educational Opportunities," NBER Working Papers 19380, National Bureau of Economic Research, Inc.
    18. Ligia Alba Melo-Becerra & Jorge Enrique Ramos-Forero & Pedro Oswaldo Hern�ndez-Santamar�a, 2017. "La educación superior en Colombia: situación actual y análisis de eficiencia," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 78.
    19. O'Connell, Michael & Sheikh, Hammad, 2008. "Achievement-related attitudes and the fate of "at-risk" groups in society," Journal of Economic Psychology, Elsevier, vol. 29(4), pages 508-521, August.
    20. Matthias Doepke & Fabrizio Zilibotti, 2008. "Occupational Choice and the Spirit of Capitalism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 747-793.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:pra:mprapa:36711. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.