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This exploration of game theory delves into the strategic use of information, emphasizing that knowledge—both little and extensive—can be dangerous. The concepts of screening and signaling illustrate how observable actions can reveal unobservable traits of opponents, impacting decision-making in scenarios like insurance markets. By analyzing scenarios such as high-risk vs. low-risk drivers, we explore how equilibrium types influence self-selection and adverse selection problems. Understanding these dynamics helps in creating effective incentive schemes and market solutions to information asymmetry challenges.
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Game Theory Topic 7Information “A little knowledge is a dangerous thing. So is a lot.” - Albert Einstein
Strategic Use of Information • Incentive Schemes • Creating situations in which observable outcomes reveal the unobservable actions of the opponents. • Screening • Creating situations in which the better-informed opponents’ observable actions reveal their unobservable traits.
Signaling • Definition • Using actions that other players would interpret in a way that would favor you in the game play • Requires • It is not in the best interest for people to signal falsely • Implies signaling must be costly!
Auto Insurance • A $1,000 deductible? • High risk drivers: • 30% chance of claim • Risk aversion: willing to pay $500 • Low risk drivers: • 10% chance of claim • Risk aversion: willing to pay $200
Pooling vs. Separating • A pooling equilibrium has all types taking the same action • Therefore, cannot distinguish types by the actions they take • A separating equilibrium has different types taking different actions • Therefore, can distinguish types by the actions they take
Cost of No Deductible • If the cost of avoiding a deductible is • Less than $200 • Both types buy • Pooling Equilibrium • Greater than $500 • Neither type buys • Pooling equilibrium • Between $200 and $500 • Only high risk drivers buy • Separating equilibrium
Pooling • Insurance company charges $200 • Both types buy • Expected profit for insurance company: • High risk drivers: $200 - (30%) $1,000 = $200 - $300 = -$100 • Low risk drivers: $200 - (10%) $1,000 = $200 - $100 = $100 • Profitable only if there are more low-risk drivers than high-risk drivers
Separating • Insurance company charges $500 • Only high-risk drivers buy • Expected profit for insurance company: • High risk drivers: $500 - (30%) $1,000 = $500 - $300 = $200 • Low risk drivers: $0 • Always profitable
Comparing Equilibria • Imagine that p proportion are high-risk • Insurance company charges $200 • Profit: $100 (1-p) - $100 p = $100-$200p • Insurance company charges $500 • Profit: $200p • Compare: • $200p > $100-$200p • p > ¼ better to separate than pool
Self-Selection • Only high risk drivers “self-select” into the contract to buy insurance • Screening sets up the proper incentives for individuals to self-select • Pooling has the danger of adverse selection
Adverse Selection • Imagine ½ of the population are high-risk drivers • Insurance company calculates expected cost of not having a deductible: • (1/2) (10%) $1000 + (1/2) (30%) $1000 = $200 • Add a 10% profit, charge $220 • Only high risk drivers sign up!
How to Screen • Want to know an unobservable trait • Identify an action that is more costly for “bad” types than “good” types • Ask the person (are you “good”?) • But… attach a cost to the answer • Cost • high enough so “bad” types don’t lie • Low enough so “good” types don’t lie
Screening • Education as a signaling and screening device • Is there value to an economics degree? • Imagine not: • no effect on productivity, but is observed by employers • “Cost” of economics major varies
Example: Econ majors • How hard should an econ major be? • Two types of workers: • High and low quality • NPV of salary high quality worker: $900,000 low quality worker: $700,000 • Disutility per econ credit high quality worker: $4,000 low quality worker: $6,000
“High” Quality Workers • If I get an econ major: • Signal I am a high quality worker • Receive $900,000 - $4,000 N • If I don’t get an econ major • Signal I am a low quality worker • Receive $700,000 900,000 – 4,000 N > 700,000 200,000 > 4,000 N 50 credits > N
“Low” Quality Workers • If I get an econ major: • Signal I am a high quality worker • Receive $900,000 - $6,000 N • If I don’t get an econ major • Signal I am a low quality worker • Receive $700,000 900,000 – 6,000 N < 700,000 200,000 < 6,000 N 33 credits < N
Screening • To achieve a separating equilibrium: • Costly enough to deter low types • Not so costly as to deter high types High reward High reward – high-type cost – low-type cost > Low reward < Low reward
Screening • To achieve a separating equilibrium: • High types work for high reward • Low types accept low reward High reward High reward – Low reward – Low reward >high-type cost <low-type cost
Screening Solves Market Imperfections • Market for lemons (used cars) • Worth between $1000 and $3000 to buyers • Worth $200 less to sellers • Only seller knows true value • Buyer offers $2,000 Adverse selection • Only cars between $1,000 and $2,200 sold • Buyer offers $1,600 Adverse selection • Only cars between $1,000 and $1,800 sold • Market equilibrium price: $1,200 • Only worst 20% of cars are ever sold
Screening Solves Market Imperfections • Market for lemons • What about introducing a screen? • Extended warranty • Cheaper to provide for good cars than bad cars • Other examples • Coupons • Banks made of granite
Hiding from Signals • The opportunity to signal may prevent some types from hiding their characteristics • Examples: • Financial disclosures • GPA on résumé • Taking classes pass / fail
Hiding from Signals • Suppose students can take a course pass/fail or for a letter grade. • An A student should signal her abilities by taking the course for a letter grade – separating herself from the population of B’s and C’s. • This leaves B’s and C’s taking the course pass/fail. Now, B students have incentive to take the course for a letter grade to separate from C’s. • Ultimately, only C students take the course pass/fail. • If employers are rational – will know how to read pass/fail grades. C students cannot hide!
Summary • Enticing high effort is hard work • Leakages • Global vs. individual incentives • Rewarding the right people • Screening • Identify unobservable cost differences • Exploit them (carefully)