IDEAS home Printed from
MyIDEAS: Login to save this article

The relation between vocational training in high school and economic outcomes

  • Alan L. Gustman
  • Thomas L. Steinmeier

This paper examines the relationships between various economic outcomes and vocational training in high school for those who have completed exactly twelve years of schooling. The authors attempt to determine whether the findings remain robust when different surveys and time periods of analysis, different measures of the quality and kind of vocational training, and other variations in specifications are used. Using some samples with particular specifications, the authors find evidence of positive returns to vocational schooling. For white females enrolled in business programs the evidence is strongest. For white males the evidence is much weaker, but the authors do find that trade and industry courses may have a positive influence on subsequent yearly earnings. Sample sizes for minorities are small, and so the findings for them remain unclear. Within specific sex and race groups the findings vary, sometimes widely, depending on the samples, time periods, and dependent variables used and on the specification of the estimating equation. (Abstract courtesy JSTOR.)

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Article provided by ILR Review, Cornell University, ILR School in its journal ILR Review.

Volume (Year): 36 (1982)
Issue (Month): 1 (October)
Pages: 73-87

in new window

Handle: RePEc:ilr:articl:v:36:y:1982:i:1:p:73-87
Contact details of provider: Fax: 607-255-8016
Web page:

More information through EDIRC

Order Information: Postal: 381 Ives East, Cornell University, Ithaca, NY 14853-3901
Web: Email:

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. Alan L. Gustman & Martin Segal, 1974. "The Skilled-Unskilled Wage Differential in Construction," ILR Review, Cornell University, ILR School, vol. 27(2), pages 261-275, January.
  2. Gustman, Alan L & Steinmeier, Thomas L, 1981. "The Impact of Wages and Unemployment on Youth Enrollment and Labor Supply," The Review of Economics and Statistics, MIT Press, vol. 63(4), pages 553-60, November.
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:ilr:articl:v:36:y:1982:i:1:p:73-87. 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: (ILR Review)

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.