6. According to the FBI’s Uniform Crime Reports, approximately 1 in 379 cars was
stolen in the United States in 2014. Beth owns a car worth $20,000 and is con-
sidering purchasing an insurance policy to protect herself from car theft. For
the following questions, assume that the chance of car theft is the same in all
regions and across all car models.
a. What should the premium for a fair insurance policy have been in 2014 for a
policy that replaces Beth’s car if it is stolen? (Hint: In your calculation, round
up to three decimal places.)
b. Suppose an insurance company charges 0.6% of the car’s value for a policy
that pays for replacing a stolen car. How much will the policy cost Beth?
c. Will Beth purchase the insurance in part b if she is risk-neutral?
6. a. The premium for a fair insurance policy is equal to the expected value of
Beth’s claim. Since the probability of having her car stolen is 1/379 = 0.003, the
expected value of Beth’s claim is 0.003 × $20,000 = $60.
b. The premium for this insurance policy is 0.006 × $20,000 = $120.
7. Hugh’s income is currently $5,000. His utility function is shown in the accompa-
nying table.
Income Total utility (utils)
$0 0
1,000 100
2,000 140
3,000 166
4,000 185
a. Calculate Hugh’s marginal utility of income. What is his attitude toward risk?
b. Hugh is thinking about gambling in a casino. With a probability of 0.5 he
will lose $3,000, and with a probability of 0.5 he will win $5,000. What is
the expected value of Hugh’s income? What is Hugh’s expected utility? Will
he decide to gamble? (Suppose that he gets no extra utility from going to the
casino.)
c. Suppose that the “spread” (how much he can win versus how much he can
lose) of the gamble narrows, so that with a probability of 0.5 Hugh will lose
$1,000, and with a probability of 0.5 he will win $3,000. What is the expected
value of Hugh’s income? What is his expected utility? Is this gamble better for
him than the gamble in part b? Will he decide to gamble?