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

Information Asymmetry in Markets

Research Depth 108 in the knowledge graph ☐ I know this ☆ Set as goal
39topics build on this
572prerequisites beneath it
See this on the map →
Adverse SelectionBayesian Games (Games of Incomplete Information)+1 more→→Agricultural Extension and Information AsymmetryArrow's Impossibility Theorem and Social Choice+7 more
information-economics market-failure

Core Idea

Information asymmetry means one party has more or better information than the other. This creates agency problems: hidden information (adverse selection) or hidden actions (moral hazard). Markets with asymmetric information may unravel (market for lemons), produce inefficient equilibria, or fail to exist. Information revelation and screening are mechanisms to mitigate these problems.

Explainer

In the idealized markets of introductory economics, buyers and sellers share the same information about what is being traded. In reality, one party almost always knows more than the other — the seller knows the car's history; the borrower knows their creditworthiness; the employee knows their own effort level. This information asymmetry is not just an inconvenience. It can systematically distort prices, drive good products out of markets, and cause transactions that would benefit both parties to never happen at all.

Economists distinguish two fundamental types of information asymmetry. Adverse selection (hidden information) arises before a contract is signed: the informed party has private characteristics that affect the transaction's value, and the uninformed party cannot directly observe them. Classic examples include used car markets (sellers know the car's quality), health insurance (buyers know their health risks), and credit markets (borrowers know their default probability). The problem is that at any given price, the population willing to transact at that price is skewed toward the worse types — lemons, high-risk patients, likely defaulters — because better types find the price unattractive.

Moral hazard (hidden action) arises after a contract: once the contract is in place, the informed party can take actions that affect outcomes but that the uninformed party cannot observe or perfectly verify. Car insurance reduces the incentive to drive carefully; employer-provided health insurance may reduce effort to stay healthy; a bank that is "too big to fail" has diminished incentive to manage risk. In each case, the contract that was intended to improve efficiency actually changes behavior in a way that creates new inefficiencies.

The most dramatic consequence is market unraveling, as described by Akerlof's lemons model. Suppose used cars can be either good (worth $10,000) or lemons (worth $2,000), and sellers know which they have but buyers don't. Buyers, uncertain of quality, offer an average price, say $6,000. Good-car sellers, unwilling to sell a $10,000 car for $6,000, withdraw from the market. Now the average quality falls, say to $4,000. Buyers lower their offer. More good sellers exit. In the extreme, the market collapses to lemons only — not because good cars don't exist, but because information asymmetry prevents them from commanding their true value.

These problems are real but not insoluble. Signaling allows the informed party to credibly reveal their type: a job candidate can signal ability through an educational credential; a car seller can signal quality with a warranty. Screening allows the uninformed party to design contracts that induce self-selection: an insurer offers both high-deductible/low-premium and low-deductible/high-premium options, inducing low-risk and high-risk types to sort themselves. Reputation, certification, and mandatory disclosure are further institutional responses. The field of mechanism design — which builds on Bayesian games — asks systematically how to design rules and contracts to achieve good outcomes despite private information.

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 → Monopolistic Competition → Oligopoly and Strategic Behavior → Game Theory Basics → Nash Equilibrium → Nash Equilibrium Refinements → Strategic Form Games and Nash Equilibrium → Extensive Form Games and Game Trees → Subgame Perfect Equilibrium → Perfect Bayesian Equilibrium → Pooling and Separating Equilibria → Adverse Selection and Screening Mechanisms → Insurance Markets with Adverse Selection → Adverse Selection → Information Asymmetry in Markets

Longest path: 109 steps · 572 total prerequisite topics

Prerequisites (3)

Leads To (9)