(Sequential) Information Design
summary
Surveys the information‑design toolkit and gives concrete characterizations: distributions over actions and states must satisfy a martingale (prior) constraint and an obedience condition, so feasible outcomes are solutions to a linear program; applies this to auctions (how bad revenue can be under worst information for a first‑price auction) and to a seller–buyer pricing example. Shows a sequential recommendation construction (flip coin who moves first) that implements full cooperation in Prisoner’s Dilemma under a simple payoff inequality, illustrating the extra power of sequential contact.
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chapters (15)
- 0:00Introduction to primitives
- 2:50Mechanism design vs. info
- 5:27Information design approach
- 7:43Robustness and equilibrium
- 10:14Formalizing information
- 13:32Seller and buyer examples
- 17:47Single agent motivation
- 20:42Characterizing distribution
- 26:05Obedience and representation
- 31:21Linear program applications
- 34:40Bayesian persuasion details
- 37:48Beliefs as signals
- 43:41Correlated equilibrium
- 50:30Robustness in auctions
- 56:48Sequential interactions
