A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Cartels and Collusion: Cooperation in Oligopoly

Research Depth 103 in the knowledge graph ☐ I know this ☆ Set as goal
4topics build on this
528prerequisites beneath it
See this on the map →
Cournot Competition: Quantity Competition in OligopolyRepeated Games and Trigger Strategies→→Bertrand 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 Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Literal Equations → Slope-Intercept Form → Point-Slope Form → Writing Linear Equations → Parallel and Perpendicular Line Slopes → Graphing Linear Equations → Piecewise Functions → One-Sided Limits → Continuity Definition → Limits and Continuity in Multiple Variables → Functions of Several Variables → Continuity in Multiple Variables → Partial Derivatives: Definition and Computation → Differentiability in Multiple Variables → Differentiability in Multivariable Functions → Total Differential and Linear Approximation → Chain Rule for Multivariable Functions → Implicit Differentiation → Related Rates → Optimization Problems → Critical Points of Multivariable Functions → Critical Points and Classification of Extrema → Second Partial Test for Local Extrema (Hessian) → The Hessian Matrix and Second Derivative Test → Unconstrained Optimization: Finding Extrema → Optimization in Multiple Variables → Lagrange Multipliers → Constrained Optimization and Lagrange Multipliers → Utility and Preferences → Marginal Utility and Diminishing Returns → Profit Maximization → Perfect Competition → Shutdown and Breakeven Decisions → Monopoly → Monopolistic Competition → Oligopoly and Strategic Behavior → Game Theory Basics → Nash Equilibrium → Nash Equilibrium Refinements → Strategic Form Games and Nash Equilibrium → Mixed Strategies and Probabilistic Play → Repeated Games and Trigger Strategies → Cartels and Collusion: Cooperation in Oligopoly

Longest path: 104 steps · 528 total prerequisite topics

Prerequisites (2)

Leads To (2)