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QR 38 Signaling I, 4/17/07 I. Signaling and screening II. Pooling and separating equilibria III. Semi-separating equilibria
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I. Signaling and screening Two ways to use Bayes’ rule to extract information from the actions of others: Signaling: undertaken by the more- informed player Screening: undertaken by the less- informed player
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Signaling and screening example Consider a country trying to raise money on the international capital markets: Lenders unsure about the probability of repayment Borrowers can be reliable or unreliable If banks require countries to take costly steps before getting loans, that is screening
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Screening and signaling example If countries are always careful to repay loans and develop a reputation as reliable, this is signaling. In practice, might be hard to distinguish signaling from screening.
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Market screening example A classic. Potential employees are of two types: Able (A) Challenged (C) A is worth $150,000 to an employer C worth $100,000 How can the employer tell which is which?
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Market screening Employer announces he will pay $150,000 to anyone who takes n hard courses. Otherwise the salary is $100,000. These courses are costly for potential employees to take. –For A, these courses cost $6000 each –For C, $9000
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Market screening How many courses should employers require? Can’t set n too high or too low Need to make it worthwhile for A to take n courses but still separate A from C. For C, need 100,000 > 150,000-9000n 9n>50 n>5.6 (n>=6)
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Market screening For A, need 150,000-6000n>100,000 50>6n n<=8 So we find that we need n>=6 to keep C from pretending to be A; and n<=8 to make it worthwhile for A to take the course. If n=6, this arrangement is worth 150,000- 6(6000) to A; $114,000. $100,000 to C.
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Market screening Because it is possible to meet both incentive compatibility constraints, the types separate; self-selection. It is possible to meet both incentive compatibility constraints because A and C have substantially different costs attached to taking tough courses. Note that the presence of C means that A bears the cost of taking courses; this is just a cost, because the courses don’t add any value.
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Market screening Pooling: this means that the types don’t separate –They both behave the same way, e.g., neither A nor C takes any classes. What would the employer be willing to pay if neither took any classes (pooled)? Assume that 20% of the population is A, 80% C.
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Market screening The employer will offer all employees their expected value to him:.2(150,000)+.8(100,000) = $110,000 So A will not pool, because he does better under separation Pooling is not an equilibrium in this case
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Market screening What if the population is split 50-50? Then the pooled salary is $125,000. A and C would both then prefer pooling to separating. But pooling still isn’t an equilibrium, because the employer could benefit by deviating –For example, offering $132,000 to anyone who took just one course.
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Market screening A would accept this offer, but not C Employer then would only offer $100,000 to those who didn’t take the course Then C would agree to take the course Any arrangement would keep unraveling until we get back to the separating equilibrium identified above.
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II. Pooling and separating equilibria Consider signaling dynamics in a deterrence game. Challenger (C) is of two possible types: strong or weak. The defender (D) has to decide whether to fight or retreat. Fighting a strong C is bad for D But if C is weak, D prefers fighting to retreating.
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Deterrence game The probability that C is weak is w. What if C can do something to signal its strength, like spending money on its military? If C is strong, this step costs nothing If C is weak, this costs c
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Deterrence game Nature Weak (w) Strong (1-w) C C No challenge Challenge and spend Challenge only Fight Retreat Fight Retreat -2, 1 2, 0 -2-c, 1 2-c, 0 D D Challenge and spend No challenge D 0, 3 2, -2 Fight Retreat 4, 0 0, 3
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Deterrence equilibria In this signaling game, the equilibrium has to address both actions and beliefs. D updates w, using Bayes’ Rule, depending on whether or not C spends. This leads to a Bayesian perfect equilibrium.
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Deterrence equilibria Three types of equilibria, depending in the values of w and c: 1.Separating 2.Pooling 3.Semi-separating Finding these equilibria is difficult, not required in this class. But once the equilibria are specified, we can check to make sure that they really are equilibria.
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Separating equilibrium If c is high, the types will separate because the weak type won’t spend. Given these payoffs, the condition for separation is c>2. Equilibrium when c>2: C challenges iff strong; weak C does not spend. If D sees a challenge without spending, he infers that C is weak, and fights.
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Separating equilibrium Note: in stating the equilibrium, have to specify what would happen off the equilibrium path. Check that this is an equilibrium: What if a weak C tries to spend and challenge? –Leads to payoffs that are dominated by not challenging. Payoff of -2-c if D fights, 2-c if D retreats. Because c>2, these are both <0, the payoff for no challenge.
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Separating equilibrium What if a strong C chooses not to challenge? Leads to a payoff of 0, which is dominated by challenging (payoff 4). So it is an equilibrium for the types to separate fully when c>2.
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Pooling equilibrium If c is small (<2), a weak C could bluff and pretend to be strong by spending. So both types would behave the same way; they would pool. But for this to be an equilibrium, also requires that w isn’t too high.
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Pooling equilibrium If w is high, D would choose to fight, because C is likely to be weak. Knowing that D would fight, a weak C wouldn’t challenge. So need w<2/3 as well as c<2 for a pooling equilibrium to exist.
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Pooling equilibrium Equilibrium when c<2 and w<2/3: All C challenge and spend; D always retreats. If C were to challenge but not spend, D would fight. Since all C challenge and spend, D can’t update beliefs about w. D’s expected payoff from fighting is 3w-2. With w<2/3, D is better off retreating.
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Semi-separating equilibrium A semi-separating equilibrium arises when c 2/3. Can’t get full separation, because the temptation for a weak C to bluff is too high. But can’t get full pooling because w is high enough that D won’t then retreat. So a weak C can neither always challenge nor always not challenge in equilibrium. C must play a mixed strategy.
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Semiseparating equilibrium Equilibrium when c 2/3: Weak C challenges and spends with probability p. D uses Bayes’ Rule to update beliefs about w, and responds to a challenge by fighting with probability q. Equilibrium is p=2(1-w)/w and q=(2-c)/4.
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Updating beliefs about type How does D draw inferences about w? Knows that a strong C always spends, weak C sometimes. So when D observes spending has to update beliefs about w using Bayes’ Rule.
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Updating beliefs about type D calculates p(weak|spend) and p(strong|spend). Then D calculates expected payoff from fighting using updated (posterior) probabilities This is equal to: (1)(p(weak)) + (-2)(p(strong))
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Applying Bayes’ rule A strong type always spends So after observing spending, D calculates p(weak|spend)= p(sp|w)p(w)/(p(sp|w)p(w)+p(sp|strong)p(str)) =pw/(pw+1(1-w)) =pw/(pw+1-w)
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Appling Bayes’ rule p(strong|spend)= p(sp|str)p(str)/(p(sp|str)p(str)+p(sp|w)p(w)) =1(1-w)/(1(1-w)+pw) =1-w/(1-w+pw) D now has updated probabilities for C’s type. Use these to calculate D’s expected payoff from fighting:
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D’s payoffs D’s expected payoff from fighting= 1(p(weak) + (-2)(p(strong)) =(wp/(1-w-wp))-2((1-w)/(1-w-wp)) =(wp-2(1-w))/(1-w-wp) When D is using a mixed strategy, the payoff from fighting and not fighting must be equal.
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D’s payoffs The payoff from not fighting is 0. So we can calculate the p that makes D indifferent between fighting and not fighting: wp-2(1-w)=0 (set the numerator equal to 0) wp=2(1-w) p=2(1-w)/w
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How the probability of spending depends on the probability that C is weak Calculate what happens to p when w>2/3: p<(2(1-2/3))/(2/3)=(2-4/3)/(2/3) =(6-4)/2; p<1, as required. As w increases, p falls. So, as the probability that C is weak increases, the probability of a weak C spending falls.
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C’s payoffs Given D’s strategies and inferences, now calculate a weak C’s payoff from challenging and spending: q(-2-c)+(1-q)(2-c)=2-c-4q This must be equal to 0, the payoff from not challenging: 2-c-4q=0; 4q=2-c; q=(2-c)/4 So, as the cost of spending decreases, the probability of D fighting increases.
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Properties of semi-separating equilibrium Note that in the semi-separating equilibrium, a strong C ends up fighting with some positive probability. This decreases C’s payoff The presence of weak Cs imposes negative externalities on strong Cs
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Summary of signaling game equilibria w<2/3w>2/3 c<2PoolingSemi- separating c>2Separating Probability that challenger is weak Cost of spending for weak challenger
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