IDEAS home Printed from https://ideas.repec.org/p/hhs/vxcafo/2010_002.html
   My bibliography  Save this paper

The Measured Degree of Hiring Discrimination and the Level of Standardization of the Job Applicants´ Qualifications in Field Experiments

Author

Listed:
  • Carlsson, Magnus

    (Centre for Labour Market Policy Research (CAFO))

Abstract

The idea with using field experiments for measuring discrimination in hiring is basically making all variables of a job applicant that are observable to the employer also observable to the researcher. This in turn should provide scope for measuring the true level of discrimination in hiring, which is very challenging if traditional ex post regression analysis of public microdata is used. However, most of the conducted field experiments have so far ignored that at what level the observable characteristics of the job candidates are standardized by the experiment might influence the measured degree of discrimination. In the current paper, a simple framework is first presented to illustrate the issue and then data from a field experiment conducted in the Swedish labor market is utilized to empirically analyze the question. The analysis show that the predicted difference in callback rate to a job interview between applicants with a typical Swedish and a typical Arabic name varies significantly over applications with different attributes attached. The conclusion is that studies which standardize the characteristics of the job applicants at a particular level might obtain very non generalizable results. At the end of the paper, we give some suggestions for how the field experimental methodology might be improved.

Suggested Citation

  • Carlsson, Magnus, 2010. "The Measured Degree of Hiring Discrimination and the Level of Standardization of the Job Applicants´ Qualifications in Field Experiments," CAFO Working Papers 2010:2, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
  • Handle: RePEc:hhs:vxcafo:2010_002
    as

    Download full text from publisher

    File URL: http://studieportal-elnu.lnu.se/mod/forum/discuss.php?d=1009
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    field experiment on hiring; employer discrimination;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    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:hhs:vxcafo:2010_002. 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: Andreas Mångs (email available below). General contact details of provider: https://edirc.repec.org/data/cafovse.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.