How Does the Variance of Product Ratings Matter?
University of Southern California · Stanford University
Abstract
This paper examines the informational role of product ratings. We build a theoretical model in which ratings can help consumers figure out how much they would enjoy the product. In our model, a high average rating indicates a high product quality, whereas a high variance of ratings is associated with a niche product, one that some consumers love and others hate. Based on its informational role, a higher variance would correspond to a higher subsequent demand if and only if the average rating is low. We find empirical evidence that is consistent with the theoretical predictions with book data from Amazon.com and BN.com. A higher standard deviation of ratings on Amazon improves a book's relative sales rank when…
Citation impact
- FWCI
- 44.17
- Percentile
- 100%
- References
- 64
Authors
1Topics & keywords
- Variance (accounting)
- Product (mathematics)
- Econometrics
- Sample (material)
- Quality (philosophy)
- Statistics
- Rank (graph theory)
- Marketing