Published July 2023
| v2
Conference Paper
Open
The Hazards and Benefits of Condescension in Social Learning
Abstract
In a misspecified social learning setting, agents are condescending if they perceive their peers as having private information that is of lower quality than it is in reality. Applying this to a standard sequential model, we show that outcomes improve when agents are mildly condescending. In contrast, too much condescension leads to worse outcomes, as does anti-condescension.
Copyright and License
© 2023 Owner/Author(s).
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Additional details
- NSF
- DMS-1944153
- Available
-
2023-07-09published print
- Available
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2023-07-07published online