IDEAS home Printed from https://ideas.repec.org/p/cpr/ceprdp/1582.html
   My bibliography  Save this paper

Modelling Work-Related Training and Training Effects Using Count Data Techniques

Author

Listed:
  • Arulampalam, Wiji
  • Booth, Alison L
  • Elias, Peter

Abstract

This paper estimates the determinants of the number of work-related training courses, and their impact 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 – from the age of 23 to 33. We use hurdle negative binomial models to estimate the number of work-related training events. This approach allows us to account for the fact that half of all sample members experienced no work-related training over the period from 1981 to 1991. We then estimate a wages growth model where the returns from the first training experience are allowed to differ from subsequent training experiences. The results generated from the hurdle count model are used to control for training endogeneity in the wages growth equation. This has not been done before in the training literature. The sensitivity of the wage growth estimates to alternative modelling strategies is also examined. Since we find a strong correlation between education and subsequent training experiences, we experiment with estimating the joint impact of previous education and subsequent training on wages growth, in order to tease out the combined effect of these variables. We find that the biggest returns to training are to highly educated men.

Suggested Citation

  • Arulampalam, Wiji & Booth, Alison L & Elias, Peter, 1997. "Modelling Work-Related Training and Training Effects Using Count Data Techniques," CEPR Discussion Papers 1582, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:1582
    as

    Download full text from publisher

    File URL: http://www.cepr.org/active/publications/discussion_papers/dp.php?dpno=1582
    Download Restriction: CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. J. M. Tomkins & J. Twomey, 2000. "Occupational mobility in England," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 193-209.
    2. O'Neill, Donal & Sweetman, Olive, 1998. "Intergenerational Mobility in Britain: Evidence from Unemployment Patterns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(4), pages 431-447, November.
    3. Eli Haim HANI, 2021. "The Effect Of Key Business Success Factors On Start-Up Performance," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 18, pages 117-129, December.
    4. 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.

    More about this item

    Keywords

    Count data models; Hurdle; Selectivity bias; Training endogeneity; Wages Growth;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets

    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:cpr:ceprdp:1582. 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: the person in charge (email available below). General contact details of provider: https://www.cepr.org .

    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.