Modeling Work-related Training and Training Effects Using Count Data Techniques

Wiji Arulampalam, Alison Booth and Peter Elias

The Warwick Economics Research Paper Series (TWERPS) from University of Warwick, Department of Economics

Abstract: This paper examines the impact of work-related training on expected wages growth, using longitudinal data from the British National Child Development Study. The analysis covers a crucial decade in the working lives of a cohort of young men - the years from the age of 23 to the age of 33. We use hurdle negative binominal models to estimate the number of work-related training events. This approach, which has not been used for training before, allows us to account for the fact that more than 50% of sample members experienced no work-related training over the period 1981 to 1991. We find evidence of strong complementaries between past general education and training, suggesting that reliance on job-related training to increase the skills of the British workforce 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 a low level of education. The results generated from the hurdle count model are subsequently used in estimation of the wages growth model. We find that each additional training event is estimated to increase wages growth by 0.7 per cent, for young men experiencing at least one training occurrence over the decade.

Keywords: Count data models; hurdle; training; skills segmentation; wages growth (search for similar items in EconPapers)
JEL-codes: C25 I21 J24 J42 (search for similar items in EconPapers)
Pages: 37 pages
Date: 1996
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://warwick.ac.uk/fac/soc/economics/research/w ... 95-1998/twerp448.pdf

Related works:
Working Paper: Modelling Work-Related Training and Training Effects Using Count Data Techniques (1997)
Working Paper: MODELING WORK-RELATED TRAINING AND TRAINING EFFECTS USING COUNT DATA TECHNIQUES (1996)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wrk:warwec:448

Access Statistics for this paper

More papers in The Warwick Economics Research Paper Series (TWERPS) from University of Warwick, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Margaret Nash ().