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Monopoly

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Price Elasticity of DemandProfit Maximization+2 more→→Monopolistic CompetitionMonopoly Market Power and Barriers to Entry+4 more
monopoly market power MR < P deadweight loss markup

Core Idea

A monopolist is the sole seller in a market, facing a downward-sloping demand curve, and is therefore a price-maker. Marginal revenue is less than price (MR < P) because selling an additional unit requires lowering price on all units. The monopolist maximizes profit at MR = MC and then reads the price off the demand curve, producing less and charging more than the competitive equilibrium. This results in deadweight loss (foregone surplus from trades that would have been mutually beneficial). The Lerner Index (P − MC) / P measures the degree of monopoly power and equals 1/|PED|.

How It's Best Learned

Derive MR algebraically from a linear demand curve, then solve the monopoly optimum both graphically and numerically. Compare the monopoly solution to the competitive one to quantify deadweight loss.

Common Misconceptions

Explainer

You know that a competitive firm is a price taker: it sells as much as it wants at the market price, and its marginal revenue equals that price. A monopolist breaks this assumption entirely. As the sole seller, it faces the entire downward-sloping market demand curve — if it wants to sell more, it must lower its price. This single difference transforms everything about how profit maximization works.

The key insight is why MR < P for a monopolist. Suppose the current price is $60 and you sell 40 units. To sell a 41st unit, you must drop the price to, say, $59 — but that new price applies to all 41 units, not just the last one. You gain $59 from the new sale but lose $1 on each of the 40 existing sales. MR = $59 − $40 = $19, far below the $59 price. More generally, for a linear demand curve P = a − bQ, the marginal revenue is MR = a − 2bQ — same intercept, twice the slope downward. The monopolist's MR curve lies below the demand curve everywhere (except the first unit).

Given this, profit maximization still follows the MR = MC rule — produce until the revenue gained from the last unit equals its cost. But because MR < P, the monopolist stops at a lower quantity than the competitive outcome (where P = MC). Having found the profit-maximizing quantity, the monopolist reads the price off the demand curve (not off MR). This is the two-step monopoly solution: (1) find Q where MR = MC, (2) find P from the demand curve at that Q. The gap between price and marginal cost is where monopoly profit comes from — and where social harm originates.

That social harm takes the form of deadweight loss: transactions that would have been mutually beneficial (for consumers willing to pay above MC but below the monopoly price) never occur. Resources that could have been used productively are not. The Lerner Index (P − MC) / P = 1 / |PED| quantifies the markup as a fraction of price and connects it to demand elasticity — a monopolist with inelastic demand can charge a large markup; one facing elastic demand cannot. This explains why pharmaceutical companies (with patented drugs that have few substitutes) earn larger margins than, say, gasoline retailers.

A common misconception is that the monopolist charges "the highest possible price." In fact, raising price beyond the optimum reduces quantity so much that total profit falls — the lost sales more than offset the higher margin per unit. The monopolist is constrained by demand, not unconstrained. It is a price-maker, not a price-ignorer. Understanding this distinction prepares you for studying price discrimination, where a monopolist extracts more surplus by charging different prices to different buyers — and potentially eliminates deadweight loss in the extreme case of perfect price discrimination.

Practice Questions 3 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

Longest path: 95 steps · 462 total prerequisite topics

Prerequisites (4)

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