Optimal information disclosure: A linear programming approach

By Anton Kolotilin. 2018

182 citations recorded by the source corpus.

An uninformed sender designs a mechanism that discloses information about her type to a privately informed receiver, who then decides whether to act. I impose a single-crossing assumption, so that the receiver with a higher type is more willing to act. Using a linear programming approach, I characterize optimal information disclosure and provide conditions under which full and no revelation are optimal. Assuming further that the sender's utility depends only on the sender's expected type, I provide conditions under which interval revelation is optimal. Finally, I show that the expected utilities are not monotonic in the precision of the receiver's private information.

Subfields: Economics and Econometrics, Management Science and Operations Research, Safety Research

View Paper: https://www.semanticscholar.org/paper/e4b3a0b06d8d45544daa43d9e9ca96d88810873e

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In Economics and Econometrics

  1. Dirk Bergemann
  2. Stephen Morris
  3. Giorgio Martini
  4. Philipp Strack
  5. Benny Moldovanu
  6. Piotr Dworczak
  7. Hyun Song Shin
  8. Itay Goldstein

In Management Science and Operations Research

  1. Dirk Bergemann
  2. Stephen Morris
  3. Giorgio Martini
  4. Philipp Strack
  5. Benny Moldovanu
  6. Piotr Dworczak
  7. Andreas Kleiner
  8. Roman M. Sheremeta

In Safety Research

  1. Dirk Bergemann
  2. Stephen Morris
  3. Giorgio Martini
  4. Philipp Strack
  5. Benny Moldovanu
  6. Piotr Dworczak
  7. Roman M. Sheremeta
  8. P. Geraats

Citations in the corpus