In this paper we investigate the role of workers’ training history in determining current training incidence. The analysis is conducted on an unbalanced sample comprising information on approximately 5000 employees from the first seven waves of the BHPS. Our methodology utilizes a two-step dynamic probit model developed by Orme (2001) which allows for unobserved heterogeneity and formal modelling of initial conditions. The results suggest that prior training experience is a significant determinant of a worker’s participation in a current training episode comparable with other formal educational qualifications. State dependence in the model accounts for 53% of the probability of training the current period, conditional on having experienced some form of work-related training in the previous period. For women, however, the corresponding figure is lower at approximately 38% suggesting substantially greater state dependence among male workers.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
9424.
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
This paper has been announced in the following NEP Reports:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: