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Problem 8.4 examined a cost-sharing health insurance policy and showed that risk-averse individuals would prefer full coverage. Suppose, however, that people who buy cost-sharing policies take better care of their own health so that the loss suffered when they are ill is reduced from \(\$ 10,000\) to \(\$ 7,000 .\) Now what would be the actuarial fair price of a cost-sharing policy? Is it possible that some individuals might prefer the cost-sharing policy to complete coverage? What would determine whether an individual had such preferences? (A graphical approach to this problem should suffice.)

Short Answer

Expert verified
Answer: The factors that determine individual preferences for a cost-sharing policy over complete coverage include cost-consciousness and health awareness. The actuarial fair price of a cost-sharing policy is calculated by multiplying the probability of getting ill (p) by the reduced loss of $7,000 (p x $7,000).

Step by step solution

01

Understand the Cost-Sharing Policy

In a cost-sharing policy, the policyholder and the insurance company share the cost of a claim. In this case, we are given that people who buy cost-sharing policies take better care of their own health, reducing the potential loss from \(10,000 to \)7,000.
02

Calculate the Actuarial Fair Price for the Cost-Sharing Policy

An actuarially fair price means that the premium charged by the insurance company is equal to the expected value of the loss. Let's denote the probability of getting ill as "p". To find the actuarial fair price for a cost-sharing policy, we can use the following formula: Actuarial Fair Price = p(Loss) In this case, the loss is $7,000, so the actuarial fair price for the cost-sharing policy would be: Actuarial Fair Price = p($7,000)
03

Preference of Individuals Between Cost-Sharing Policy and Full Coverage

To determine whether some individuals might prefer the cost-sharing policy to complete coverage, we need to compare the actuarial fair prices for both policies and the reduced loss for cost-sharing policyholders. To achieve this, we can use a graphical approach by plotting the actuarial fair price and the expected loss on a graph. Remember that the probability of getting ill will determine the expected value of the loss for both policies, but for the cost-sharing policy, the reduced loss of $7,000 will also play a role in individual preferences.
04

Individual Preferences

On the graph, you will observe that some individuals might prefer the cost-sharing policy to complete coverage. Factors that determine such preferences include: 1. Cost-consciousness: Individuals who are more conscious about their insurance costs might prefer a cost-sharing policy due to its reduced loss and actuarial fair price. 2. Health awareness: People who take better care of their health or are less prone to illness might also prefer a cost-sharing policy as they will have lower expected loss. In conclusion, the actuarial fair price of a cost-sharing policy would be p times the reduced loss of $7,000. Depending on individual factors like cost-consciousness and health awareness, some people might prefer cost-sharing policies over full coverage.

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Most popular questions from this chapter

A farmer's tomato crop is wilting, and he must decide whether to water it. If he waters the tomatoes, or if it rains, the crop will yield \(\$ 1,000\) in profits; but if the tomatoes get no water, they will yield only \(\$ 500 .\) Operation of the farmer's irrigation system costs \(\$ 100 .\) The farmer seeks to maximize expected profits from tomato sales. a. If the farmer believes there is a 50 percent chance of rain, should he water? b. What is the maximum amount the farmer would pay to get information from an itinerant weather forecaster who can predict rain with 100 percent accuracy? c. How would your answer to part (b) change if the forecaster were only 75 percentaccurate?

Suppose an individual knows that the prices of a particular color TV have a uniform distribution between \(\$ 300\) and \(\$ 400\). The individual sets out to obtain price quotes by phone. a. Calculate the expected minimum price paid if this individual calls \(n\) stores for price quotes. b. Show that the expected price paid declines with \(n\), but at a diminishing rate. c. Suppose phone calls cost \(\$ 2\) in terms of time and effort. How many calls should this individual make in order to maximize his or her gain from search?

Suppose there are two types of workers, high-ability workers and low-ability workers. Workers' wages are determined by their ability- high ability workers earn \(\$ 50,000\) per year, lowability workers earn \(\$ 30,000 .\) Firms cannot measure workers' abilities but they can observe whether a worker has a high school diploma. Workers' utility depends on the difference between their wages and the costs they incur in obtaining a diploma. a. If the cost of obtaining a high school diploma is the same for high-ability and low-ability workers, can there be a separating equilibrium in this situation in which high-ability workers get high-wage jobs and low-ability workers get low wages? b. What is the maximum amount that a high-ability worker would pay to obtain a high school diploma? Why must a diploma cost more than this for a low-ability person if having a diploma is to permit employers to identify high-ability workers?

In some cases individuals may care about the date at which the uncertainty they face is resolved. Suppose, for example, that an individual knows that his or her consumption will be 10 units today \(\left(C_{1}\right)\) but that tomorrow's consumption \(\left(C_{2}\right)\) will be either 10 or \(2.5,\) depending on whether a coin comes up heads or tails. Suppose also that the individual's utility function has the simple Cobb-Douglas form \\[U\left(C_{1}, C_{2}\right)=\sqrt{C_{1} C_{2}}.\\] a. If an individual cares only about the expected value of utility, will it matter whether the coin is flipped just before day 1 or just before day 2 ? Explain. b. More generally, suppose that the individual's expected utility depends on the timing of the coin flip. Specifically, assume that \\[ \text { expected utility }=E_{1}\left[\left(E_{2}\left\\{U\left(C_{1}, C_{2}\right)\right\\}\right)^{\alpha}\right] \\] where \(E_{1}\) represents expectations taken at the start of day \(1, E_{2}\) represents expectations at the start of day \(2,\) and \(\alpha\) represents a parameter that indicates timing preferences. Show that if \(\alpha=1,\) the individual is indifferent about when the coin is flipped. c. Show that if \(\alpha=2\), the individual will prefer early resolution of the uncertainty-that is, flipping the coin at the start of day 1 d. Show that if \(\alpha=.5,\) the individual will prefer later resolution of the uncertainty (flipping at the start of day 2 ). e. Explain your results intuitively and indicate their relevance for information theory. (Note: This problem is an illustration of "resolution seeking" and "resolution-averse" behavior. See D. M. Kreps and E. L. Porteus, "Temporal Resolution of Uncertainty and Dynamic Choice Theory," Econometrica [January \(1978]: 185-200\).)

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