Supervised Social Learning
This paper examines the optimal design of recommendation systems. Given the option value of experimentation, short-run consumers' incentives to experiment are too low; the social planner can encourage experimentation by providing selective information to the consumers, in the form of a recommendation. Under the optimal scheme, we show that the amount of experimentation is optimal, but experimentation occurs too slowly. Moreover, the rate of experimentation increases over an initial phase. Whether recommendations should be coarse or precise depends on the designer's information about the consumers' idiosyncratic characteristics.
|Date of creation:||2013|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Robert J. Aumann, 1995. "Repeated Games with Incomplete Information," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011476, July.
When requesting a correction, please mention this item's handle: RePEc:red:sed013:881. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christian Zimmermann)
If references are entirely missing, you can add them using this form.