IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4613-8536-3_5.html
   My bibliography  Save this book chapter

Using Longitudinal Data to Estimate Age, Period and Cohort Effects in Earnings Equations

In: Cohort Analysis in Social Research

Author

Listed:
  • James Heckman

    (University of Chicago, Department of Economics
    University of Chicago, National Opinion Research Center)

  • Richard Robb

    (University of Chicago, Department of Economics
    University of Chicago, National Opinion Research Center)

Abstract

The literature on the determinants of earnings suggest an earnings function for individual i which depends on age ai, year t, “vintage” or “cohort” schooling level si, and experience ei. Adopting a linear function to facilitate exposition we may write (1) $${Y_i}(t,{a_i},{c_i},{e_i},{s_i}) = {\alpha _0} + {\alpha _1}{a_i} + {\alpha _2}t + {\alpha _3}{e_i} + {\alpha _4}{s_i} + {\alpha _5}{c_i}$$ where ei is experience, usually defined for males as age minus schooling, (ei = ai – si),1 and Yi may be any monotone transformation of earnings.

Suggested Citation

  • James Heckman & Richard Robb, 1985. "Using Longitudinal Data to Estimate Age, Period and Cohort Effects in Earnings Equations," Springer Books, in: William M. Mason & Stephen E. Fienberg (ed.), Cohort Analysis in Social Research, chapter 5, pages 137-150, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-8536-3_5
    DOI: 10.1007/978-1-4613-8536-3_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below 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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-1-4613-8536-3_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.