IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Persistence in the determination of work-related training participation: Evidence from the BHPS, 1991-1997

  • Sousounis, Panos
  • Bladen-Hovell, Robin

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. Training participation is modelled as a dynamic random effects probit model where the effects of unobserved heterogeneity and initial conditions are accounted for in a fashion consistent with methods proposed by Chamberlain (1984) and Wooldridge (2005), respectively. 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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6VB9-500SK16-1/2/cf078b222d9287c87c08d3a73740c191
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Economics of Education Review.

Volume (Year): 29 (2010)
Issue (Month): 6 (December)
Pages: 1005-1015

as
in new window

Handle: RePEc:eee:ecoedu:v:29:y:2010:i:6:p:1005-1015
Contact details of provider: Web page: http://www.elsevier.com/locate/econedurev

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.:

as in new window
  1. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
  2. Benabou, R., 1999. "Tax and Education Policy in a Heterogeneous Agent Economy: What Levels of Redistribution Maximize Growth and Efficiency?," Working Papers 99-12, C.V. Starr Center for Applied Economics, New York University.
  3. Filipe Almeida-Santos & Karen Mumford, 2005. "Employee Training And Wage Compression In Britain," Manchester School, University of Manchester, vol. 73(3), pages 321-342, 06.
  4. van Smoorenburg, M. S. M. & van der Velden, R. K. W., 2000. "The training of school-leavers: Complementarity or substitution?," Economics of Education Review, Elsevier, vol. 19(2), pages 207-217, April.
  5. James Heckman & Pedro Carneiro & Flavio Cunha, 2004. "The Technology of Skill Formation," 2004 Meeting Papers 681, Society for Economic Dynamics.
  6. Jeffrey M Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
  8. Lorraine Dearden & Howard Reed & John Van Reenen, 2005. "The impact of training on productivity and wages : evidence from British panel data," Economic History Working Papers 779, London School of Economics and Political Science, Department of Economic History.
  9. Richard Blundell & Lorraine Dearden & Costas Meghir & Barbara Sianesi, 1999. "Human capital investment: the returns from education and training to the individual, the firm and the economy," Fiscal Studies, Institute for Fiscal Studies, vol. 20(1), pages 1-23, March.
  10. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd Edition), pages 257-298 National Bureau of Economic Research, Inc.
  11. Groot, Wim & van den Brink, Henriette Maassen, 2003. "Firm-related training tracks: a random effects ordered probit model," Economics of Education Review, Elsevier, vol. 22(6), pages 581-589, December.
  12. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318 Elsevier.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:29:y:2010:i:6:p:1005-1015. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.