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Adult labour market implications of antisocial behaviour in childhood and adolescence: findings from a UK longitudinal study

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Author Info
Andrew Healey
Martin Knapp
David P. Farrington
Abstract

While antisocial behaviour in younger age groups is largely viewed as a public externality issue, there are also reasons for expecting less favourable life-course outcomes for those individuals who follow antisocial developmental pathways. Data from a UK longitudinal study of delinquent development in a cohort of working class boys are used to model the adult labour market implications of different antisocial developmental pathways to age 32. A series of probit estimations suggests that children identified as troublesome by peers and teachers at an early age, and who subsequently engaged in delinquent behaviour throughout their adolescence, had a significantly higher probability of experiencing long periods of time out of the workforce prior to age 32 and lengthy periods of unemployment and/or low paid work at both age 18 and at age 32. A Heckman selectivity model estimated on weekly earnings at age 32 does not provide evidence that antisocial development in children and adolescents is associated with a lower wage. However, the findings from a two-part model suggest that antisocial boys will have significantly lower levels of expected earnings from employment at 32 years--an effect that is almost entirely the result of lower rates of workforce participation. While a full causal, structural model of labour outcomes is not developed, there is tentative evidence that relatively poor employment outcomes for antisocial boys are mediated through poor educational attainment at secondary school and higher rates of criminal conviction in early adulthood.

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Article provided by Taylor and Francis Journals in its journal Applied Economics.

Volume (Year): 36 (2004)
Issue (Month): 2 (February)
Pages: 93-105
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Handle: RePEc:taf:applec:v:36:y:2004:i:2:p:93-105

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  1. Behrman, Jere R & Taubman, Paul, 1989. "Is Schooling "Mostly in the Genes"? Nature-N urture Decomposition Using Data on Relatives," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1425-46, December. [Downloadable!] (restricted)
  2. Bartel, Ann & Taubman, Paul, 1986. "Some Economic and Demographic Consequences of Mental Illness," Journal of Labor Economics, University of Chicago Press, vol. 4(2), pages 243-56, April. [Downloadable!] (restricted)
  3. Willard G. Manning Jr. & Charles E. Phelps, 1979. "The Demand for Dental Care," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 503-525, Autumn. [Downloadable!] (restricted)
  4. Vivian H. Hamilton & Philip Merrigan & Éric Dufresne, 1997. "Down and out: estimating the relationship between mental health and unemployment," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 397-406.
  5. Arrow, Kenneth J., 1973. "Higher education as a filter," Journal of Public Economics, Elsevier, vol. 2(3), pages 193-216, July. [Downloadable!] (restricted)
  6. 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. [Downloadable!] (restricted)
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  7. Thomas C. Buchmueller & Samuel H. Zuvekas, 1998. "Drug use, drug abuse, and labour market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 7(3), pages 229-245.
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