Motivational Ratings

Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

Johannes Hörner and Nicolas Lambert

The Review of Economic Studies, 2021, vol. 88, issue 4, 1892-1935

Abstract: Performance evaluation (“rating”) systems not only provide information to users but also motivate the rated worker. This article 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; C72; C73 (search for similar items in EconPapers)
Date: 2021
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Related works:
Working Paper: Motivational Ratings (2021)
Working Paper: Motivational Ratings (2021)
Working Paper: Motivational Ratings (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:oup:restud:v:88:y:2021:i:4:p:1892-1935.

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