Simon Fraser University Spring 2013 Econ 302 Final Exam Instructor: Songzi Du Section D200 Wednesday April 24, 2013, 8:30 – 11:30 AM This exam has two parts. Write your name, SFU ID number, and tutorial section number on each part. Part II (Questions 5 – 9): • Name: • SFU ID number: • Tutorial section number: 1. This is a closed-book exam. 2. You may use a non-graphing calculator. 3. If you use decimals in calculation, keep two decimal places. 4. There is no separate exam booklet. Write your solution in the space following each question. 5. Show your work! Partial credits are given. Answers without proper explanation/calculation will be penalized. 6. We will accept a request for regrade only if the solution is written with a pen. 7. The final exam has 135 points (45% of the class grade). 8. Stay in your seat if less than 20 minutes remain in the exam. You may leave early if you finish 20 minutes before the exam is over. 1 √ 5. (15 points) You have an utility over money u(m) = m and start with $10000. Consider a risky project with probability 0.5 of gaining $5000, probability 0.3 of losing $1000, and probability 0.2 of losing $4000. Find the expected value of this project (on the total wealth). Find your expected utility if you take this project, and find the certainty equivalent and risk premium for the this project. Would you take the project, and why? In your calculations keep two decimal places. 2 3 4 6. (15 points) The principal is considering hiring a salesman to make to an important sale. If the sale is successful, it will generate $1,000,000 to the principal. The salesman can exert effort (e = 1) or no effort (e = 0) in the sales job; if he exert effort (e = 1), the sale will succeed with probability p; if he does not exert effort (e = 0), the sale will fail for sure. The salesman is risk averse and has utility (w)1/3 − 10e, where w is the wage he receives from the principal, and e is either 0 or 1. The principal is risk neutral and has an utility which is the money from the sale (if any) minus the wage of the salesman. Both the principal and the salesman maximizes their expected utilities. Suppose that the salesman has an outside option of $1000 (from another source of employment), which translates to an utility of 10001/3 = 10; the principal has an outside option of $0. (i) Suppose that p = 0.2. Solve the principal’s first best problem when he can observe the effort of the salesman and offers a flat wage, and solve the principal’s second best problem when he cannot observe the effort of the salesman and offers wages contingent on the success or failure of the sale. Your solution must specify the optimal wage(s) and whether the salesman is hired. For the second-best problem you may assume that the (IR) and (IC) constraints bind for the optimal solution. Exhibit your final answers with two decimal places. (ii) Suppose that p = 0.1. Solve the principal’s first best and second best problems. 5 6 7 7. (15 points) (i) The worker has two types: skilled (s = 1) or unskilled (s = 0); the probability that that the worker is skilled is 30%. A worker of either type can choose to get educated (e = 1) or not (e = 0); suppose that a skilled worker gets educated with probability 10%, and a unskilled worker gets educated with probability 80%. Calculate the conditional probability that a worker is skilled given that he has an education. (ii) The Census Bureau has estimated the following survival probabilities for men: • probability that a man lives at least 50 years: 95%; • probability that a man lives at least 60 years: 85%; • probability that a man lives at least 70 years: 65%. What is the conditional probability that a man lives at least 70 years given that he has just celebrated his 60th birthday? In your calculations keep two decimal places or use fraction. 8 9 10 8. (15 points) Consider a third -price auction of a single, indivisible object: the highest bidder gets the object and pays the third highest bid; the other bidders do not get the object and do not pay.1 Suppose that there are three bidders. (i) Give an example such that bidder 1 with value v1 does not have an incentive to bid truthfully given bids b2 and b3 (i.e., specify the values of v1 , b2 and b3 ). Explain. (ii) Give an example such that bidder 1 with value v1 does have an incentive to bid truthfully given bids b2 and b3 (i.e., specify the values of v1 , b2 and b3 ). Explain. 1 If there are ties for the highest bid, each of the highest bidders gets the object and pays the third highest bid with equal probabilities. That is, ties are resolved by a fair randomization. 11 12 13 9. (15 points) Consider an average-price auction of a single, indivisible object: the highest bidder gets the object and pays the average of all bids; the other bidders do not get the object and do not pay.2 For example, if b1 = 0.9 and b2 = 0.8, then bidder 1 wins the object and pays (0.9 + 0.8)/2 = 0.85. (The auctioneer might (naively) use this kind of auction because he wants the winning bidder to pay the “fair” price.) Suppose that there are two bidders. The private value vi of each bidder is uniformly distributed on the interval [0, 1] and is independent of one another. (i) Construct the symmetric equilibrium bidding strategy b(vi ). Hint #1: b(vi ) = Avi so your job is just to calculate the constant A. Hint #2: if bidder 1 wins by bidding b(x), then his expected payment conditional on winning is 1 1 (b(x) + E[b(v2 ) | b(v2 ) ≤ b(x)]) = (Ax + E[Av2 | v2 ≤ x]), 2 2 and E[v2 | v2 ≤ x] = x 2 by our assumption of uniform distribution. (ii) Calculate the expected payment of bidder i of value vi (the overall expected payment, weighted by the probabilities of winning and losing). 2 If there are ties for the highest bid, each of the highest bidders gets the object and pays the average bid with equal probabilities. Hint: don’t worry about ties. 14 15 16 17