Signaling Games: Separating and Pooling Equilibria

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game-theory information-asymmetry

Core Idea

In signaling games, the informed player moves first with an action (signal) that communicates private information. Separating equilibria have different types taking different actions; pooling equilibria have all types taking the same action. The Intuitive Criterion eliminates equilibria depending on unreasonable out-of-equilibrium beliefs, selecting among multiple equilibria.

Explainer

From your study of adverse selection and screening, you know that information asymmetry creates problems: when one side of a market knows more than the other, uninformed parties cannot distinguish good types from bad. In screening models, the uninformed party moves first, designing a menu of contracts to sort the informed party. Signaling games flip this structure — here the informed party moves first, taking a costly action that conveys information about their type. The classic example is Spence's job market signaling: a worker knows their own productivity, and they choose how much education to get before an employer makes a wage offer. Education may or may not improve productivity directly — what matters is that it is differentially costly across types, allowing it to function as a credible signal.

A separating equilibrium is one where different types choose different signals, fully revealing their private information. In the education example, high-ability workers get a degree while low-ability workers do not. This works when the signal is costly enough that low types would not want to mimic high types, even for the higher wage. The condition is called the single-crossing property: the marginal cost of the signal must differ across types so that indifference curves of different types cross only once in signal-wage space. High-ability workers find education less costly (in effort, time, or difficulty), so they are willing to invest in a level of education that low-ability workers would find prohibitively expensive. The employer, observing the education level, correctly infers the worker's type and pays accordingly.

A pooling equilibrium is one where all types choose the same signal, so no information is transmitted. If all workers get the same education level regardless of ability, the employer learns nothing and pays the average-productivity wage. Pooling equilibria can be sustained when the signal cost is high enough that no type finds it worthwhile to deviate — or when beliefs about deviators are pessimistic enough that deviating is not rewarded. This multiplicity of equilibria is a characteristic feature of signaling games: for many parameter values, both separating and pooling equilibria exist, along with partial-pooling equilibria where some types separate and others pool.

The Intuitive Criterion, introduced by Cho and Kreps, is the standard refinement for selecting among these equilibria. The idea is to eliminate equilibria that are sustained only by unreasonable beliefs about off-equilibrium actions. If a particular deviation from the equilibrium strategy could only conceivably benefit a high type (because a low type would lose money even with the most optimistic belief about the employer's response), then the employer should infer that any deviator is a high type. Formally, if a signal is equilibrium dominated for one type — meaning that type would never benefit from sending it regardless of how the receiver responds — then the receiver should not attribute that signal to that type. Applying this criterion typically eliminates pooling equilibria and many partial-pooling equilibria, selecting the most efficient separating equilibrium as the unique prediction. This refinement is widely applied in industrial organization, finance (firms signaling quality through dividends or debt), and political economy (candidates signaling competence through policy positions).

Practice Questions 5 questions

Prerequisite Chain

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesLiteral EquationsSlope-Intercept FormPoint-Slope FormWriting Linear EquationsParallel and Perpendicular Line SlopesGraphing Linear EquationsPiecewise FunctionsOne-Sided LimitsContinuity DefinitionLimit Definition of the DerivativePower RuleConstant Multiple and Sum/Difference RulesProduct RuleChain RuleDerivatives of Exponential FunctionsDerivatives of Logarithmic FunctionsImplicit DifferentiationComparative StaticsPrice Elasticity of DemandIncome and Cross-Price ElasticityUtility and PreferencesMarginal Utility and Diminishing ReturnsProfit MaximizationPerfect CompetitionShutdown and Breakeven DecisionsMonopolyMonopolistic CompetitionOligopoly and Strategic BehaviorGame Theory BasicsNash EquilibriumMechanism Design: Strategic ImplementationIndividual Rationality (Participation Constraint)Incentive Compatibility and Individual RationalityScreening and Contract MenusAdverse Selection and Screening MechanismsInsurance Markets with Adverse SelectionAdverse SelectionSignaling GamesSignaling Games: Separating and Pooling Equilibria

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