IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/23615.html
   My bibliography  Save this paper

An explanation of the occupational and educational structure of employment by means of multinomial logit

Author

Listed:
  • Peeters, H.M.M.

Abstract

The fixed coefficient manpower requirements approach provides information on shifts in the occupational and educational structure of employment over time, but neglects the substitution between the various occupations and educational groups. In this study shifts in the structure of 83 occupations within 21 branches of industry in the Netherlands from 1981 to 1985 are explained by past occupational structures and technological developments. Besides, the educational structures according to 58 educational groups within the occurring combinations of the 83 occupational classes and 21 branches of industry in the Netherlands from 1981 to 1985 are explained by past educational structures, technological developments and the skill structure of labour supply. The explanation of both employment structures are carried out by means of multinomial logit.

Suggested Citation

  • Peeters, H.M.M., 1990. "An explanation of the occupational and educational structure of employment by means of multinomial logit," MPRA Paper 23615, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:23615
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/23615/1/MPRA_paper_23615.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Dekker, R. & de Grip, A. & Heijke, J.A.M., 1988. "An explanation of the occupational structure of sectors of industry," ROA Working Paper 2E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    2. Richard B. Freeman, 1980. "An Empirical Analysis of the Fixed Coefficient "Manpower Requirements" Model, 1960-1970," Journal of Human Resources, University of Wisconsin Press, vol. 15(2), pages 176-199.
    3. Parks, Richard W., 1980. "On the estimation of multinomial logit models from relative frequency data," Journal of Econometrics, Elsevier, vol. 13(3), pages 293-303, August.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    labour market; education; occupation; multinomial logit;

    JEL classification:

    • 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

    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:pra:mprapa:23615. 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: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.