IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp5020.html

Performance Appraisals and the Impact of Forced Distribution: An Experimental Investigation

Author

Listed:
  • Berger, Johannes

    (University of Cologne)

  • Harbring, Christine

    (RWTH Aachen University)

  • Sliwka, Dirk

    (University of Cologne)

Abstract

A real effort experiment is investigated in which supervisors have to rate the performance of individual workers who in turn receive a bonus payment based on these ratings. We compare a baseline treatment in which supervisors were not restricted in their rating behavior to a forced distribution system in which they had to assign differentiated grades. We find that productivity was significantly higher under a forced distribution by about 8%. But also in the absence of forced distribution, deliberate differentiation positively affected output in subsequent work periods.

Suggested Citation

  • Berger, Johannes & Harbring, Christine & Sliwka, Dirk, 2010. "Performance Appraisals and the Impact of Forced Distribution: An Experimental Investigation," IZA Discussion Papers 5020, IZA Network @ LISER.
  • Handle: RePEc:iza:izadps:dp5020
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp5020.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

    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:dp5020. 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: Mark Fallak (email available below). General contact details of provider: https://edirc.repec.org/data/izaaalu.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.