SMU H3 Notes Game TheoryGamesSMU H3

Adverse Selection Game

Game theory analysis: Adverse Selection Game.


Setup

Definition:

Adverse Selection Game

  • Players: Two players, Buyer and Seller.
  • Strategies: Buyer chooses a price pp; Seller observes the car quality q{0,10}q\in\{0,10\} and accepts or rejects.

Rules

Payoff Matrix

πS=pq.\pi_S = p-q. πB=1.5qp.\pi_B = 1.5q-p.

Derivation (Best Response Analysis)

If p=5p=5:

1.50p=p<0.1.5 \cdot 0 - p = -p < 0. E[qaccept]=0+102=5,E[q \mid \text{accept}] = \frac{0+10}{2}=5,

so the buyer’s valuation is

1.55=7.5.1.5 \cdot 5 = 7.5. 7.5p<07.5-p < 0

for every p10p\geq 10.

Derivation (Nash Equilibrium)

Nash Equilibrium

Result:

There is no positive-trade equilibrium price, the only non-loss-making action is no trade.

Social Optimum

Insights

Insight:

  • Acceptance decisions reveal hidden information.
  • Hidden quality pushes good types out of the market and destroys gains from trade.
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