IDEAS home Printed from https://ideas.repec.org/a/ucp/jhucap/doi10.1086-691699.html
   My bibliography  Save this article

Understanding Wage Growth: Estimating and Testing Learning-by-Doing

Author

Listed:
  • Philippe Belley

Abstract

I adapt the basic insight from the literature that tests the permanent-income theory to test the learning-by-doing (LBD) model of human capital accumulation. I propose three measures of workers’ incentives to accumulate skills. These incentives correlate with wage growth conditional on hours worked and past wages, implying that significant components of wage growth are not accounted for by the LBD model. This suggests that wage growth is costly and that workers face a trade-off between current and future earnings. This trade-off has ramifications for wage subsidy policies and for understanding women’s decisions about children and career.

Suggested Citation

  • Philippe Belley, 2017. "Understanding Wage Growth: Estimating and Testing Learning-by-Doing," Journal of Human Capital, University of Chicago Press, vol. 11(2), pages 213-246.
  • Handle: RePEc:ucp:jhucap:doi:10.1086/691699
    DOI: 10.1086/691699
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/691699
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/691699
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/691699?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

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


    Cited by:

    1. Magnac, Thierry & Roux, Sébastien, 2021. "Heterogeneity and wage inequalities over the life cycle," European Economic Review, Elsevier, vol. 134(C).
    2. Magnac, Thierry, 2023. "Capital humain et recherche d'emploi: un mariage heureux - Human Capital and Search Models: A Happy Match," TSE Working Papers 23-1489, Toulouse School of Economics (TSE).
    3. Thierry Magnac, 2024. "Human Capital and Search Models: A Happy Match," Revue économique, Presses de Sciences-Po, vol. 75(1), pages 11-29.
    4. Hana Kuèerová, 2021. "The Influence of the Quality of Education on the Knowledge Economy: the Czech Republic in International Comparison," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 93-112.

    More about this item

    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:ucp:jhucap:doi:10.1086/691699. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/JHC .

    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.