SMU H3 Notes Game TheoryGamesSMU H3

First-Price Sealed-Bid Auction with Independent Private Values

Game theory analysis: First-Price Sealed-Bid Auction with Independent Private Values.


Setup

Definition:

First-Price Sealed-Bid Auction with Independent Private Values

  • Players: n2n\geq 2 bidders: bidder 1,,n1,\dots,n.
  • Strategies: Each bidder observes own value vi[0,1]v_i\in[0,1]; Each bidder chooses a bid bi0b_i\geq 0; A symmetric bidding strategy is a function b(v)b(v).

Rules

Game Tree

diagram

Derivation (Verification by Expected Payoff FOC)

Candidate strategy

b(v)=n1nvb(v)=\frac{n-1}{n}v a=n1na=\frac{n-1}{n}

Deviation payoff

avjbvjbaav_j\leq b \quad\Longleftrightarrow\quad v_j\leq \frac{b}{a} P(win)=jiP(vjba)=(ba)n1P(\text{win}) =\prod_{j\neq i}P\left(v_j\leq \frac{b}{a}\right) =\left(\frac{b}{a}\right)^{n-1} E(πivi,b)=(vib)(ba)n1E(\pi_i\mid v_i,b) =(v_i-b)\left(\frac{b}{a}\right)^{n-1}

First-order condition

g(b)=bn1(vib)g(b)=b^{n-1}(v_i-b) g(b)=(n1)bn2(vib)bn1=bn2((n1)vinb)g'(b) =(n-1)b^{n-2}(v_i-b)-b^{n-1} =b^{n-2}\big((n-1)v_i-nb\big) b=n1nvi=avib=\frac{n-1}{n}v_i=av_i

Verification

bi=n1nvib_i=\frac{n-1}{n}v_i

Order-statistic intuition

P(Yx)=xn1,fY(x)=(n1)xn2P(Y\leq x)=x^{n-1}, \qquad f_Y(x)=(n-1)x^{n-2} E(YYvi)=0vix(n1)xn2vin1dx=n1nviE(Y\mid Y\leq v_i) =\int_0^{v_i}x\frac{(n-1)x^{n-2}}{v_i^{n-1}}\,dx =\frac{n-1}{n}v_i

Nash Equilibrium

Result:

The symmetric Bayesian Nash equilibrium bidding function is

b(v)=n1nvb(v)=\frac{n-1}{n}v

Social Optimum

Diagram (Bidding Function)

diagram

Insights

Insight:

  • A bidder shades the bid below own value.
  • The bid equals the expected strongest rival value conditional on winning.
  • In a first-price auction, the trade-off is higher winning probability versus lower surplus if winning.
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