[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v7y2012i2p286-304.html
   My bibliography  Save this article

Statistical Discrimination and Gender Wage Gap: A Model

Author

Listed:
  • Xia Li

    (School of Economics, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract
In this paper, I extend the model in Coate and Loury (CL) (1993) to show how statistical discrimination by employers can help create gender wage gap for men and women with equal earning potentials. Given that employers do not perfectly observe a worker¡¯s skill type and partly rely on the average skills level of his (her) peers for inference purpose, employers¡¯ differential treatment of male and female workers can create different skill-investment incentives for them, which in turn justify employers¡¯ discrimination in the first place. The second result of this paper which is not possible within the original CL framework is that I point to the possibility that there exist circumstances under which the gender wage gap can not be eliminated without the formerly advantaged sex being negatively affected.

Suggested Citation

  • Xia Li, 2012. "Statistical Discrimination and Gender Wage Gap: A Model," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 7(2), pages 286-304, June.
    • Handle: RePEc:fec:journl:v:7:y:2012:i:2:p:286-304
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.3868/s060-001-012-0013-0
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    2. Fang, Xiande & Li, Dingkun, 2013. "Solar photovoltaic and thermal technology and applications in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 330-340.

    More about this item

    Keywords

    gender wage gap; home production; statistical discrimination;
    All these keywords.

    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
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    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:fec:journl:v:7:y:2012:i:2:p:286-304. 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: Frank H. Liu (email available below). General contact details of provider: .

    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.