IDEAS home Printed from https://ideas.repec.org/p/ifs/ifsewp/99-01.html
   My bibliography  Save this paper

Wages, experience and seniority

Author

Listed:
  • Christian Dustmann

    (Institute for Fiscal Studies and University College London)

  • Costas Meghir

    (Institute for Fiscal Studies and Yale University)

Abstract

This paper develops and estimates a human capital model of wage growth based on learning by doing. Learning by doing rates are assumed to be heterogeneous and firms offer different career structures in terms of the rate of acquisition of firm specific human capital. The model is estimated using a unique data set drawn from German adninistrative records and including a complete employment and earnings history for each worker in our sample. We find evidence of increased labour market attachments for individuals with higher returns to experience. This has important implications for the estimates. The estimated returns to experimence are 2.7% a year. The returns to tenure are close to zero. Crucial identifying information is provided by plant closures.

Suggested Citation

  • Christian Dustmann & Costas Meghir, 1999. "Wages, experience and seniority," IFS Working Papers W99/01, Institute for Fiscal Studies.
  • Handle: RePEc:ifs:ifsewp:99/01
    as

    Download full text from publisher

    File URL: http://www.ifs.org.uk
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ifs:ifsewp:99/01. 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/ifsssuk.html .

    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.