IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp5684.html
   My bibliography  Save this paper

Managerial Valuation of Applicant Credentials and Personal Traits in Hiring Decisions

Author

Listed:
  • Jones, James R.

    (University of Nebraska Omaha)

  • Co, Catherine Y.

    (University of Nebraska Omaha)

  • Harter, James K.

    (The Gallup Organization)

  • Yun, Myeong-Su

    (Inha University)

Abstract

We study how managers value applicant credentials and personal traits in hiring decisions. Using the ordered probit model, we confirm previous results – managers rank applicant traits higher than credentials. However, we also uncover patterns not previously observed – managerial valuations of some of these characteristics are dependent on managers' perception of the overall state of the economy, on firm and immediate workplace characteristics, and on managers' personal characteristics. Manager valuations of credentials vary with a large number of factors; this is not so for applicant personal traits. This is not surprising as most managers view the five traits considered "as extremely important."

Suggested Citation

  • Jones, James R. & Co, Catherine Y. & Harter, James K. & Yun, Myeong-Su, 2011. "Managerial Valuation of Applicant Credentials and Personal Traits in Hiring Decisions," IZA Discussion Papers 5684, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5684
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp5684.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    personality; credentials; hiring practices; ordered probit;
    All these keywords.

    JEL classification:

    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:iza:izadps:dp5684. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.