Motivational Ratings

Johannes Hörner and Nicolas Lambert
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Johannes Hörner: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CNRS - Centre National de la Recherche Scientifique

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Abstract: Performance evaluation (\rating") systems not only provide information to users but also motivate the rated worker. This paper solves for the optimal(effort-maximizing) rating within the standard career concerns framework. We prove that this rating is a linear function of past observations. The rating, however, is not a Markov process, but rather the sum of two Markov processes. We show how it combines information of different types and vintages. An increase in effort may adversely affect some (but not all) future ratings.

Keywords: Career Concerns; Mechanism Design; Ratings. (search for similar items in EconPapers)
Date: 2021-04-01
New Economics Papers: this item is included in nep-des and nep-mic
Note: View the original document on HAL open archive server: https://hal.science/hal-03187510v1
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Citations: View citations in EconPapers (2)

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Related works:
Journal Article: Motivational Ratings (2021)
Working Paper: Motivational Ratings (2021)
Working Paper: Motivational Ratings (2016)
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