Strategic Communication With Minimal Verification

Gabriel Carroll, Georgy Egorov

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


A receiver wants to learn multidimensional information from a sender, and she has the capacity to verify just one dimension. The sender's payoff depends on the belief he induces, via an exogenously given monotone function. We show that by using a randomized verification strategy, the receiver can learn the sender's information fully in many cases. We characterize exactly when it is possible to do so. In particular, when the exogenous payoff function is submodular, we can explicitly describe a full-learning mechanism; when it is (strictly) supermodular, full learning is not possible. In leading cases where full learning is possible, it can be attained using an indirect mechanism in which the sender chooses the probability of verifying each dimension.

Original languageEnglish (US)
Pages (from-to)1867-1892
Number of pages26
Issue number6
StatePublished - Nov 1 2019


  • Mechanism design
  • cheap talk
  • multidimensional information
  • verifiability

ASJC Scopus subject areas

  • Economics and Econometrics


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