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Delegating performance evaluation

Letina, Igor; Liu, Shuo; Netzer, Nick (2018). Delegating performance evaluation. Working paper series / Department of Economics 266, University of Zurich.

Abstract

We study optimal incentive contracts with multiple agents when performance evaluation is delegated to a reviewer. The reviewer may be biased in favor of the agents, but the degree of bias is unknown to the principal. We show that a contest, which is a contract in which the principal determines a set of prizes to be allocated to the agents, is optimal. By using a contest, the principal can commit to sustaining incentives despite the reviewer's potential leniency bias. The optimal effort profile can be uniquely implemented by an all-pay auction with a cap. Our analysis has implications for applications as diverse as the design of worker compensation, the awarding of research grants, and the allocation of foreign aid.

Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Economics
Working Paper Series > Department of Economics
Dewey Decimal Classification:330 Economics
JEL Classification:D02, D82, M52
Uncontrolled Keywords:Performance evaluation, delegation, optimality of contests, Spieltheorie, Agency-Theorie, Leistungsbeurteilung, Delegation, Ressourcenallokation
Scope:Discipline-based scholarship (basic research)
Language:English
Date:November 2018
Deposited On:31 Oct 2017 10:03
Last Modified:14 Mar 2024 12:49
Series Name:Working paper series / Department of Economics
Number of Pages:65
ISSN:1664-7041
Additional Information:Revised version
OA Status:Green
Free access at:Related URL. An embargo period may apply.
Related URLs:https://www.zora.uzh.ch/id/eprint/190552/
https://econtheory.org/ojs/index.php/te/article/view/3570
https://www.econ.uzh.ch/en/research/workingpapers.html
Other Identification Number:merlin-id:15419
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  • Description: Revised version March 2018
Download PDF  'Delegating performance evaluation'.
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  • Content: Updated Version
  • Description: Revised version March 2018

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