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Game Theory 101 (#78): Separating Equilibrium

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This lecture introduces separating equilibrium, a form of perfect Bayesian equilibrium in signaling games. In a separating equilibrium, after observing an equilibrium strategy, the uniformed player can infer everything about its opponent. This makes solving for its optimal strategy straightforward.
Separating equilibria are normally the easiest type of PBE to solve for in signaling games. The cases will get a lot more complicated when we advance to pooling equilibria and semi-separating equilibria.
Game Theory 101 (#78): Separating Equilibrium
Game Theory 101 (#77): Signaling Games
Game Theory 101 (#79): Pooling Equilibrium
Game Theory 101 (#74): Perfect Bayesian Equilibrium
Game Theory 101 (#82): Semi-Separating Equilibrium/Partially-Pooling Equilibrium
Game Theory 101 (#80): Off-the-Path Beliefs
Game Theory 101 (#71): Bayes' Rule
Game Theory 101 (#81): The Beer-Quiche Game
Game Theory 101 (#76): Adverse Selection
Game Theory 101 (#68): Is More Information Always Better?
Game Theory 101 (#75): Screening Games
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Game Theory 101 (#65): Solving for Bayesian Nash Equilibrium
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