Stationary Social Learning in a Changing Environment

Raphaël Levy, Marcin Pęski and Nicolas Vieille

Econometrica, 2024, vol. 92, issue 6, 1939-1966

Abstract: We consider social learning in a changing world. With changing states, societies can be responsive only if agents regularly act upon fresh information, which significantly 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. When signals are precise enough, learning is incomplete, even if agents draw large samples of past actions, as actions then become too correlated within samples, thereby reducing informativeness and welfare.

Date: 2024
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https://doi.org/10.3982/ECTA20475

Related works:
Working Paper: Stationary social learning in a changing environment (2022)
Working Paper: Stationary social learning in a changing environment (2022)
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