Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/342338 
Year of Publication: 
2026
Series/Report no.: 
Working Paper No. 448
Version Description: 
Revised version, June 2026
Publisher: 
University of Zurich, Department of Economics, Zurich
Abstract: 
We study binary, non-strategic ratings when consumer preferences reflect a combination of objective quality differences between products and idiosyncratic taste. A rating then decomposes into objective and subjective content. Rating systems that are extremely strict or extremely lenient only convey objective content, maximizing consumer welfare when the population is not biased toward a particular product. With a biased population, less extreme rating systems that convey subjective content can be valuable. In many environments, a sales-maximizing platform prefers lenient rating systems, creating a conflict with welfare maximization.
Subjects: 
recommendations
ratings
preference heterogeneity
information design
platform design
value maximization
JEL: 
D02
D47
D83
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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