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First-Price Sealed-Bid Auction

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Auction TheoryAuction Design: First-Price and Second-Price Sealed-Bid Auctions+1 more
auctions bidding sealed-bid

Core Idea

In a first-price auction, the highest bidder wins and pays their own bid. Bidders shade bids below true valuations: in symmetric equilibrium with N bidders and uniform valuations on [0, v], equilibrium bid is b(v) = ((N-1)/N)v. Revenue increases with N. Unlike second-price auctions, truthful bidding is not dominant.

Explainer

From auction theory, you know the four standard auction formats and the revenue equivalence theorem. The first-price sealed-bid auction is the format that most clearly illustrates strategic bid shading — the central tension between wanting to win and wanting to pay less. Each bidder submits a single sealed bid, the highest bidder wins, and they pay exactly what they bid. Unlike the second-price auction where truthful bidding is dominant, here bidding your true value guarantees zero surplus if you win. The entire strategic problem is figuring out how far below your true value to bid.

Consider the tradeoff facing a bidder who values the item at $80. Bidding $80 guarantees zero profit even if she wins. Bidding $50 yields $30 profit if she wins — but she might lose to someone who bid $60. The optimal bid balances the probability of winning (which increases with your bid) against the surplus if you win (which decreases with your bid). The expected payoff is (v - b) × Pr(win | b), and the bidder chooses b to maximize this expression. Solving this optimization requires knowing the distribution of competing bids, which depends on the distribution of competing valuations.

In the symmetric independent private values model with N bidders whose valuations are drawn uniformly from [0, v̄], the equilibrium bidding strategy has an elegant closed form: b(v) = ((N-1)/N) × v. A bidder with valuation v bids a fraction (N-1)/N of her true value. With 2 bidders, you bid half your value; with 10 bidders, you bid 90% of your value. The intuition is direct: more competition means a smaller gap between the highest and second-highest valuations, so you cannot afford to shade as aggressively. As N grows large, bids converge to true values and the auction approaches full surplus extraction — competition does the seller's work.

This equilibrium bidding function reveals why revenue equivalence holds despite the very different feel of first-price and second-price auctions. In a second-price auction, the winner pays the second-highest value and there is no shading. In a first-price auction, the winner pays her own shaded bid, which is lower than her value but higher than the second-highest bid. The expected payment turns out to be identical: in both cases, the expected revenue equals the expected value of the second-highest order statistic of the valuation distribution. Revenue equivalence breaks down when bidders are risk-averse (they shade less in first-price auctions, raising revenue above the second-price benchmark), when valuations are asymmetric (different bidders draw from different distributions), or when valuations have a common-value component (introducing the winner's curse).

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 EquilibriumBayesian Games (Games of Incomplete Information)Mechanism Design: Strategic ImplementationThe Revelation PrincipleVickrey-Clarke-Groves (VCG) MechanismsAuction Formats and Revenue EquivalenceAuction TheoryFirst-Price Sealed-Bid Auction

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