IDEAS home Printed from https://ideas.repec.org/a/vrs/reoecp/v12y2012i4p207-222n1.html
   My bibliography  Save this article

Supply Side Wage Determinants: Overview of Empirical Literature

Author

Listed:
  • Balcar Jiří

    (VSB - Technical University of Ostrava, Economic faculty, Sokolská třída 33, 701 21 Ostrava)

Abstract

The list of variables included in wage models has been extended substantially since 1974 when Mincer published his model containing years of schooling and quadratic function of potential experience. This paper provides an overview of the variables most often employed in wage equations, including results from their estimations. Education, experience, particular skills, psychological traits, beauty and health, social capital, characteristics potentially connected with discrimination, individual’s household characteristics and social, cultural and economic background the individual was exposed to during childhood and adolescence, all these are aggregated fields of interest which are discussed in detail. The paper is concluded by the outline of the probable development of research on wage determinants.

Suggested Citation

  • Balcar Jiří, 2012. "Supply Side Wage Determinants: Overview of Empirical Literature," Review of Economic Perspectives, Sciendo, vol. 12(4), pages 207-222, December.
    • Handle: RePEc:vrs:reoecp:v:12:y:2012:i:4:p:207-222:n:1
    DOI: 10.2478/v10135-012-0010-x
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/v10135-012-0010-x
    Download Restriction: no
    File URL: https://libkey.io/10.2478/v10135-012-0010-x?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
    ---><---

    Citations

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


    Cited by:

    1. Maria da Conceição Figueiredo & Elsa Fontainha, 2015. "Male and Female Wage Functions: A Quantile Regression Analysis using LEED and LFS Portuguese Databases," Working Papers Department of Economics 2015/01, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    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:vrs:reoecp:v:12:y:2012:i:4:p:207-222:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.