Ralph is choosing whether to purchase health insurance. Here are the features that define his situation: He currently has $20,000 in initial wealth and faces a 2% chance of a serious illness that will cost $8,000 to cure. (He therefore simultaneously faces
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- Michael lives on an island and owns a beach house worth $400,000. Of that, $100,000 is the cost of land and $300,000 is the cost of the structure. The probability that a hurricane destroys his house is 3percent (he will still own the land). Michael can purchase hurricane insurance at the price of $2for each $100 of coverage. 1. What is Michael’s contingent consumption bundle if Michael does not purchase insuranceIf a risk‐averse individual owns a home worth $100,000, and that individual iswilling to pay a maximum of $1,000 for an annual fire insurance policy that covers theentire loss in the event of a fire, then we know that:A. There is a one percent chance that the home will be destroyed by fire inthe next yearB. There is a greater than a one percent chance that the home will bedestroyed by fire in the next yearC. There is less than a one percent chance that the home will be destroyedby fire in the next yearD. None of the above is correctSuppose Grace and Lisa are to go to dinner. Lisa is visiting Grace from outof town, and they are to meet at a local restaurant. When Lisa lived in town,they had two favorite restaurants: Bel Loc Diner and the Corner Stable. Ofcourse, Lisa’s information is out of date, but Grace knows which is betterthese days. Assume that the probability that the Bel Loc Diner is better isp > 1/2 and the probability that the Corner Stable is better is 1 - p. Naturedetermines which restaurant Grace thinks is better. Grace then sends amessage to Lisa, either “Let’s go to the Bel Loc Diner,” “Let’s go to theCorner Stable,” or “I don’t know [which is better].” Lisa receives the message, and then Grace and Lisa simultaneously decide which restaurant to go to. Payoffs are such that Grace and Lisa want to go to the same restaurant, but they prefer it to be the one that Grace thinks is better. More specifically, if, in fact, the Bel Loc Diner is better, then the payoffs from theiractions are as shown in the…
- Utility Theory You live in an area that has a possibility of incurring a massive earthquake, so you are considering buyingearthquake insurance on your home at an annual cost of $180. The probability of an earthquake damagingyour home during one year is 0.001. If this happens, you estimate that the cost of the damage (fully coveredby earthquake insurance) will be $160,000. Your total assets (including your home) are worth $250,000. A. Apply Bayes’ decision rule to determine which alternative (take the insurance or not) maximizes yourexpected assets after one year.4. You own a house worth $700,000 that is located on a river. If the river floodsmoderately, the house will be completely destroyed. Moderate flooding happensabout once every 40 years. If you build a seawall, the river would have to floodheavily to destroy your house, and such heavy flooding happens only about onceevery 150 years.a. What would be the annual premium for a flood insurance policy that offers fullinsurance? Make sure to show your work.b. For a policy that pays only 75% of the home value, what are your expected costswith and without a seawall? Make sure to show your workc. Do the different policies provide an incentive to be safer (i.e., to build theseawall)?1. Mel is thinking of going on a cruise. Mel values a cruise in nice weather at $2,000 and values a cruise in bad weather at $50. The probability of nice weather is 60 percent and the probability of bad weather is 40 percent. Trip insurance is sometimes available. If purchased, it allows travelers to delay the cruise until the weather is nice. Suppose that the price of the cruise is $1,200. If Mel is risk-neutral, then Mel should: not buy trip insurance. only buy trip insurance if it costs less than $780. only buy trip insurance if it costs less than $20. only buy trip insurance if it costs less than $50. 2. Several web sites, like Pricewatch.com, allow consumers to input the name of a product, and the site then returns a list of suppliers with their respective prices for the product. This: increases the benefit of search.. increases the free-rider problem. reduces the benefit of search. reduces the cost of search.
- #2. Hannah gets 50 utils from visiting her family for Thanksgiving. But there is a 1% chance that she will get the coronavirus from them. If she gets the coronavirus, her utility is -6000 utils. Her total utility would be -5950 (i.e. 50 – 6000). She gets 0 utils from staying healthy (total utility = 50 + 0 = 50). What is her expected utility? a. 50 utils b. -6 utils c. -10 utils d. -5999.5 utils e. -6000 utils f. None of these #3. Hannah gets 50 utils from visiting her family for Thanksgiving. But there is a 1% chance that she will get the coronavirus from them. If she gets the coronavirus, her utility is -6000 utils. Her total utility would be -5950 (i.e. 50 – 6000). She gets 0 utils from staying healthy (total utility = 50 + 0 = 50). If Hannah doesn't visit her family for Thanksgiving, then she gets -25 utils from eating turkey cold cuts alone in front of the TV. In that case, there is no risk of getting sick. What will Hannah do? a. Visit her family for Thanksgiving b. Not visit her…An individual has 40,000 in income per year. The person will get sick with probability 0.1. If he does get sick, the medical bills will total 30,000. The following tables shows the utility derived from certain amounts of income: Income Utility40,000 20037,000 19535,000 19030,000 17020,000 14010,000 100Considering the probability of illness, what is the expected utility of income without insurance? Show your work.Economics Shawn's consumption is subject to risk. With probability 0.75 he will enjoy 10000 in consumption, but with probability 0.25 he will have only 3600. His utility function for consumption is given by v(c) = Vc. -What is the expected value of Shawn's consumption? -What is his expected utility? -What is his certainty equivalent of having 10000 with probability 0.75 and 3600 with probability 0.25?
- You and a coworker are assigned a team project on which your likelihood or a promotion will be decidedon. It is now the night before the project is due and neither has yet to start it. You both want toreceive a promotion next year, but you both also want to go to your company’s holiday party that night.Each of you wants to maximize his or her own happiness (likelihood of a promotion and mingling withyour colleagues “on the company’s dime”). If you both work, you deliver an outstanding presentation.If you both go to the party, your presentation is mediocre. If one parties and the other works, yourpresentation is above average. Partying increases happiness by 25 units. Working on the project addszero units to happiness. Happiness is also affected by your chance of a promotion, which is depends on howgood your project is. An outstanding presentation gives 40 units of happiness to each of you; an aboveaverage presentation gives 30 units of happiness; a mediocre presentation gives 10 units…ease use utility of wealth function in the booK, 8-1 (see below). Certainty Utility B D 200 198 194 D' Total utility 170 of wealth C' Expected Utility A 140 10,000 15,000 19,000 20,000 Wealth FIGURE 8-1 Total Utility of Wealth and the Impact of Insurance Please explain the difference between the certainty utility line and the expected utility line b. Calculate your E(U), given an 80% change of being healthy and 20% of being sick, knowing that your income falls to $10,000 and your utility is 140 if you get sick. Calculate your E(W), given an 80% change of being healthy and 20% of being sick. d. Given that your Certainty Utility Function is U = 200Y-0.00154 and Y is your income, what is your Certainty Utility with insurance (if you are risk averse) What insurance premium will you pay to guarantee a utility of 197? Please provide a calculation.7. Suppose the only game in town involves flipping a fair coin (so Heads and Tails are equally likely), with a $x bet. If Heads comes up, the payoff is $0.9x; if Tails comes up, you lose the $x. You have $10,000, and must win at least $5,000 by tomorrow morning to pay off a debt to a mean dude. a. Compute the likelihood of winning at least $5000 by making a single bet of $10,000. b. Compute the likelihood of winning at least $1000 by playing the game 10,0000 times and betting a dollar each time. What is the likelihood of not losing money? Message learned?