Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ SSRN Electronic Jour...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
SSRN Electronic Journal
Article . 2007 . Peer-reviewed
Data sources: Crossref
versions View all 3 versions
addClaim

Deterring Gaming With Imperfect Evaluation Methods

Authors: Eisenkopf, Gerald;

Deterring Gaming With Imperfect Evaluation Methods

Abstract

This paper introduces and discusses a mechanism which minimizes gaming or manipulation activities, if payments are linked to results from manipulable methods. The idea is to add non-manipulable information to manipulable information to improve the evaluation of a given output. A score declining in increasing evaluation quality indicates gaming. A simple agency problem explains the advantages and disadvantages of the approach. The introduced mechanism dominates a single evaluation method if risk aversion is positive but not too great. The principal should however let each agent decide about which evaluation method he prefers. The mechanism is applied to performance measurement in research organizations and hospitals.

Country
Germany
Related Organizations
Keywords

info:eu-repo/classification/ddc/330, Gaming , Manipulation , Evaluation , Risk Aversion , Research Management , Agency Theory, Forschungsmanagement, Agency Theory, info:eu-repo/classification/gnd/Evaluation, Research Management, info:eu-repo/classification/gnd/Risikoaversion, info:eu-repo/classification/jel/D80, Risk Aversion, info:eu-repo/classification/jel/M52, Gaming, info:eu-repo/classification/gnd/Gaming, info:eu-repo/classification/jel/M40, info:eu-repo/classification/gnd/Manipulation, Manipulation, Evaluation, Agency-Theorie, jel: jel:D80, jel: jel:M40, jel: jel:M52

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
bronze