Persuasion and dynamic communication

Artikel

A speaker attempts to persuade a listener to accept a request by presenting evidence. A persuasion rule specifies what evidence is persuasive. This paper compares static and dynamic rules. We present a single linear program (i) whose solution corresponds to the listener's optimal dynamic rule and (ii) whose solution with additional integer constraints corresponds to the optimal static rule. We present a condition--foresight--under which the optimal persuasion problem reduces to the classical maximum flow problem. This has various qualitative consequences, including the coincidence of optimal dynamic and static persuasion rules, elimination of the need for randomization, and symmetry of optimal static rules.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Theoretical Economics ; ISSN: 1555-7561 ; Volume: 9 ; Year: 2014 ; Issue: 1 ; Pages: 99-136 ; New Haven, CT: The Econometric Society

Classification and Topics

• Classification: Wirtschaft ; Optimization Techniques; Programming Models; Dynamic Analysis ; Asymmetric and Private Information; Mechanism Design ; Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
• Subject: Communication ; optimal persuasion rules ; credibility ; commitment ; evidence ; maximum flow problem

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Sher, Itai
• Event: Veröffentlichung
• (who): The Econometric Society
• (where): New Haven, CT
• (when): 2014

Further information

• DOI: doi:10.3982/TE683
• Handle: http://hdl.handle.net/10419/150215
• Last update: 10.03.2025, 11:45 AM CET