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Cartels and Collusion: Cooperation in Oligopoly

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Cournot Competition: Quantity Competition in OligopolyRepeated Games and Trigger StrategiesBertrand Competition: Price Competition in OligopolyCollusion, Cartels, and Stability
industrial-organization collusion

Core Idea

Firms can increase joint profit by colluding to reduce output and raise prices. However, each firm has incentive to cheat (produce above quota). In infinitely repeated games, collusion is sustainable via trigger strategies: deviators face permanent retaliation. Stability requires that the present value of cooperation exceeds the one-time deviation gain. Discount rates and market concentration determine collusion sustainability.

Explainer

From your study of Cournot competition, you know that oligopolistic firms choosing quantities independently produce more total output and earn lower profits than a monopolist would. Each firm ignores the negative externality its production imposes on rivals' revenues. A cartel is an agreement among competitors to restrict output and raise the market price toward the monopoly level, splitting the resulting higher profits among members. OPEC's oil production quotas are the classic real-world example: member countries agree to pump less oil than they individually would, keeping the price elevated.

The fundamental problem with any cartel is the incentive to cheat. When all other firms are holding output down, the market price is high — which makes it extremely tempting for any single firm to quietly increase its own production. The cheater sells more units at the high cartel price, earning extra profit at the expense of partners who are faithfully restricting output. In a one-shot Cournot game, this temptation is irresistible: the Nash equilibrium has every firm producing its best-response quantity, and the cartel agreement unravels. This is precisely the structure of a prisoner's dilemma — mutual cooperation is collectively optimal, but individual defection is privately rational.

The resolution comes from repeated games and trigger strategies, which you have already studied. If the firms interact repeatedly with no known end date, the future consequences of cheating can deter present defection. In a grim trigger strategy, all firms cooperate (restrict output) until someone deviates, after which all firms revert to the Cournot-Nash equilibrium forever. The deviator gets one period of high profit from cheating but loses the stream of future collusive profits. Collusion is sustainable when the present value of continued cooperation exceeds the one-shot deviation gain — formally, when the discount factor δ is high enough. Patient firms (high δ) can sustain collusion; impatient firms cannot.

Several factors determine whether collusion can survive in practice. Market concentration matters: with fewer firms, each firm's share of collusive profits is larger relative to the temptation to cheat, and monitoring is easier. Demand stability helps because volatile demand makes it hard to distinguish a partner's cheating from a genuine demand shock — firms may trigger punishment by mistake. Transparency of prices and quantities facilitates monitoring, which is why antitrust authorities are wary of industry practices that increase price visibility (such as advance price announcements). The discount factor captures not just time preference but also the probability the game continues — regulatory crackdowns or market entry that could end the repeated interaction effectively lower δ and destabilize the cartel. This is why antitrust enforcement focuses heavily on detecting and punishing collusion: by increasing the expected cost of getting caught, it reduces the effective discount factor and makes cartels harder to sustain.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication 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 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-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 DefinitionLimits and Continuity in Multiple VariablesFunctions of Several VariablesContinuity in Multiple VariablesPartial Derivatives: Definition and ComputationDifferentiability in Multiple VariablesDifferentiability in Multivariable FunctionsTotal Differential and Linear ApproximationChain Rule for Multivariable FunctionsImplicit DifferentiationRelated RatesOptimization ProblemsCritical Points of Multivariable FunctionsCritical Points and Classification of ExtremaSecond Partial Test for Local Extrema (Hessian)The Hessian Matrix and Second Derivative TestUnconstrained Optimization: Finding ExtremaOptimization in Multiple VariablesLagrange MultipliersConstrained Optimization and Lagrange MultipliersUtility and PreferencesMarginal Utility and Diminishing ReturnsProfit MaximizationPerfect CompetitionShutdown and Breakeven DecisionsMonopolyMonopolistic CompetitionOligopoly and Strategic BehaviorGame Theory BasicsNash EquilibriumNash Equilibrium RefinementsStrategic Form Games and Nash EquilibriumMixed Strategies and Probabilistic PlayRepeated Games and Trigger StrategiesCartels and Collusion: Cooperation in Oligopoly

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