Stationary social learning in a changing environment
Raphaël Levy,
Marcin Pęski and
Nicolas Vieille
Additional contact information
Marcin Pęski: University of Toronto - Department of Economics
Nicolas Vieille: HEC Paris
No 1433, HEC Research Papers Series from HEC Paris
Abstract:
We consider social learning in a changing world. With changing states, societies can remain responsive only if agents regularly act upon fresh information, which drastically limits the value of observational learning. When the state is close to persistent, a consensus whereby most agents choose the same action typically emerges. However, the consensus action is not perfectly correlated with the state, because societies exhibit inertia following state changes. Phases of inertia may be longer when signals are more precise, even if agents draw large samples of past actions, as actions then become too correlated within samples, thereby reducing informativeness and welfare.
Keywords: observational learning; herding (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
Pages: 70 pages
Date: 2022-01-19
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Citations: View citations in EconPapers (1)
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3999770 Full text (text/html)
Related works:
Journal Article: Stationary Social Learning in a Changing Environment (2024) 
Working Paper: Stationary social learning in a changing environment (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ebg:heccah:1433
DOI: 10.2139/ssrn.3999770
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