Who gets over the training hurdle? A study of the training experiences of young men and women in Britain
Wiji Arulampalam () and
Alison Booth ()
Journal of Population Economics, 1997, vol. 10, issue 2, pages 197-217
Using longitudinal data from the British National Child Development Study, this paper examines gender differences in the determinants of work-related training. The analysis covers a crucial decade in the working lives of this 1958 birth cohort of young men and women - the years spanning the ages of 23 to 33. Hurdle negative binomial models are used to estimate the number of work-related training events lasting at least three days. This approach takes into account the fact that more than half the men and two thirds of the women in the sample experienced no work-related training lasting three or more days over the period 1981 to 1991. Our analysis suggests that reliance on work-related training to improve the skills of the work force will result in an increase in the skills of the already educated, but will not improve the skills of individuals entering the labor market with relatively low levels of education. JEL classification: C25, I21, J24.
Keywords: Hurdle; count; data; models; ·; training; ·; skills; segmentation. (search for similar items in EconPapers)
JEL-codes: C25 I21 J24 (search for similar items in EconPapers)
Note: Received February 9, 1996/Accepted August 14, 1996
References: Add references at CitEc
Citations View citations in EconPapers (24) Track citations by RSS feed
Downloads: (external link)
http://link.springer.de/link/service/journals/0014 ... 10002/70100197.ps.gz (application/postscript)
Access to the full text of the articles in this series is restricted
Working Paper: Who Gets Over the Training Hurdle? A Study of the Training Experiences of Young Men and Women in Britain (1996)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:spr:jopoec:v:10:y:1997:i:2:p:197-217
Ordering information: This journal article can be ordered from
http://www.springer. ... tion/journal/148/PS2
Access Statistics for this article
Journal of Population Economics is currently edited by K.F. Zimmermann
More articles in Journal of Population Economics from European Society for Population Economics Contact information at EDIRC.
Series data maintained by Sonal Shukla ().