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Parallel Lives: Birth, Childhood and Adolescent Influences on Career Paths

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  • Duncan McVicar
  • Michael Anyadike-Danes

Abstract

This paper uses sequence methods and cluster analysis to create a typology of career paths for a cohort of British 29 year olds born in 1970. There are clear ‘types’ identified by these techniques including several paths dominated by various forms of non-employment. These types are strongly correlated with individual characteristics and parental background factors observed at birth, age ten and age sixteen. By estimating a multinomial logit model of career types we show how policy makers might identify early those young people likely to experience long term non-employment as adults, enabling better targeted preventative policy intervention.

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File URL: http://repec.org/esAUSM04/up.8281.1077550291.pdf
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Bibliographic Info

Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 134.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:134

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Keywords: careers; cluster analysis; optimal matching;

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  1. Duncan McVicar & Michael Anyadike-Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334.
  2. Cramer, J. S. & Ridder, G., 1991. "Pooling states in the multinomial logit model," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 267-272, February.
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