IDEAS home Printed from https://ideas.repec.org/a/sae/revmar/v10y2018i3p184-196.html
   My bibliography  Save this article

Horses for Courses: Setting Tasks for Spotting Talent

Author

Listed:
  • Saptarshi P. Ghosh

Abstract

We investigate a distortion in the labour market that is rampant in developing countries and occurs in the form of inaccurate estimation of the innate talents of employees. We characterise the optimal level of difficulty in a predictive task that an employer, who acts as the evaluator, must choose in order to have the least noise in the talent estimation process. Contrary to the standard noise minimization result, our model re affirms the staffing policy of throwing employees in the deep end. We also find that the evaluator will not benefit from knowing the result of the predictive task set from beforehand. JEL: D82, D83

Suggested Citation

  • Saptarshi P. Ghosh, 2018. "Horses for Courses: Setting Tasks for Spotting Talent," Review of Market Integration, India Development Foundation, vol. 10(3), pages 184-196, December.
    • Handle: RePEc:sae:revmar:v:10:y:2018:i:3:p:184-196
    DOI: 10.1177/0974929218802146
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0974929218802146
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0974929218802146?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
    ---><---

    References listed on IDEAS

    as
    1. Anbarci, Nejat & Ghosh, Saptarshi P. & Roy, Jaideep, 2017. "Information control in reputational cheap talk," Games and Economic Behavior, Elsevier, vol. 106(C), pages 153-160.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert C. Bird & Vivek Soundararajan, 2020. "The Role of Precontractual Signals in Creating Sustainable Global Supply Chains," Journal of Business Ethics, Springer, vol. 164(1), pages 81-94, June.
    2. Grunewald, Andreas & Kräkel, Matthias, 2022. "Information manipulation and competition," Games and Economic Behavior, Elsevier, vol. 131(C), pages 245-263.

    More about this item

    Keywords

    Task difficulty; private signal; talent spotting;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:sae:revmar:v:10:y:2018:i:3:p:184-196. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: http://www.idfresearch.org .

    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.