IDEAS home Printed from https://ideas.repec.org/a/sae/ilrrev/v69y2016i2p405-434.html
   My bibliography  Save this article

Did Employers in the United States Back Away from Skills Training during the Early 2000s?

Author

Listed:
  • C. Jeffrey Waddoups

Abstract

A number of recent studies suggest that employer-paid training is on the decline in the United States. The present study provides empirical evidence on the issue by analyzing data on employer-paid training from the Survey of Income and Program Participation, a nationally representative data set. The findings reveal a 28% decline in the incidence of training between 2001 and 2009. Very few industries were immune from the decline, and the pattern was evident across occupation, education, age, job-tenure, and demographic groups. A decomposition of the difference in training incidence reveals a diminishing large-firm training effect. In addition, the workforce appears to have had the educational credentials by 2009 that, had they occurred in 2001, would have led to substantially more training.

Suggested Citation

  • C. Jeffrey Waddoups, 2016. "Did Employers in the United States Back Away from Skills Training during the Early 2000s?," ILR Review, Cornell University, ILR School, vol. 69(2), pages 405-434, March.
    • Handle: RePEc:sae:ilrrev:v:69:y:2016:i:2:p:405-434
    as

    Download full text from publisher

    File URL: http://ilr.sagepub.com/content/69/2/405.abstract
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hamori, Monika, 2023. "Self-directed learning in massive open online courses and its application at the workplace: Does employer support matter?," Journal of Business Research, Elsevier, vol. 157(C).
    2. Sheshadri Chatterjee & Kalyan Kumar Bhattacharjee & Chia-Wen Tsai & Amit Kumar Agrawal, 2021. "Impact of peer influence and government support for successful adoption of technology for vocational education: A quantitative study using PLS-SEM technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2041-2064, December.
    3. Krzywdzinski, Martin, 2022. "Toward a Socioeconomic Company-Level Theory of Automation at Work," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1), pages 1-1.
    4. C. Jeffrey Waddoups, 2018. "Has complementarity between employer-sponsored training and education in the U.S. changed during the 2000s?," Education Economics, Taylor & Francis Journals, vol. 26(1), pages 46-61, January.

    More about this item

    Keywords

    training; human capital;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:ilrrev:v:69:y:2016:i:2:p:405-434. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.ilr.cornell.edu .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.