Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89934
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Title: Why pay for jobs (and not for tasks)?
Authors: Czerny, AI 
Fosgerau, M
Jost, PJ
van Ommeren, JN
Issue Date: Dec-2019
Source: Journal of economic behavior & organization, Dec. 2019, v. 168, p. 419-433
Abstract: Consider a principal who assigns a job with two tasks to two identical agents. Monitoring the agents’ efforts is costly. Therefore the principal rewards the agents based on their (noisy) relative outputs. This study addresses the question of whether the principal should evaluate the outputs of each task separately and award two winner prizes, one for each task, or whether it is better to award only one winner prize to the agent who performs the best over the two tasks. There are two countervailing effects. First, there is a prize-diluting effect, because for a given budget, the prizes will be smaller when there are two winner prizes than when there is only one winner prize. The prize-diluting effect reduces the agents’ incentives to invest their effort when there are two winner prizes. Second, there is a noise effect because the noisiness of the evaluation is reduced when there are two winner prizes. The main contribution of this study is to show that the prize-diluting effect dominates the noise effect. Hence, in general, principals will award prizes for combined tasks, and not for separate tasks. Several extensions are considered to test the robustness of this dominance result.
Keywords: Contests
Head starts
Log-concavity
Multi-task environments
Tournaments
Publisher: Elsevier BV
Journal: Journal of economic behavior & organization 
ISSN: 0167-2681
DOI: 10.1016/j.jebo.2019.10.020
Rights: © 2019 Elsevier B.V. All rights reserved.
© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Czerny, A. I., Fosgerau, M., Jost, P.-J., & van Ommeren, J. N. (2019). Why pay for jobs (and not for tasks)? Journal of Economic Behavior & Organization, 168, 419-433 is available at https://dx.doi.org/10.1016/j.jebo.2019.10.020.
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