Social Learning Equilibria

Elchanan Mossel, Manuel Mueller-Frank, Allan Sly, Omer Tamuz

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


We consider a large class of social learning models in which a group of agents face uncertainty regarding a state of the world, share the same utility function, observe private signals, and interact in a general dynamic setting. We introduce social learning equilibria, a static equilibrium concept that abstracts away from the details of the given extensive form, but nevertheless captures the corresponding asymptotic equilibrium behavior. We establish general conditions for agreement, herding, and information aggregation in equilibrium, highlighting a connection between agreement and information aggregation.

Original languageEnglish (US)
Pages (from-to)1235-1267
Number of pages33
Issue number3
StatePublished - May 1 2020

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics


  • Consensus
  • herding
  • information aggregation


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