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Thinking and Deciding

Thinking and Deciding

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THE MEASUREMENT OF UTILITY 331<br />

When we decide how much money to spend on the prevention of blindness, for<br />

example, it may not be correct to consider the fact that blind people will change their<br />

goals to adapt to their h<strong>and</strong>icap. We may do better to honor the goals of the people<br />

who have not yet become blind, before adaptation. Arguably, these are the people<br />

who matter. We should, however, make sure that, when they evaluate blindness, they<br />

consider the pressure to change their goals as part of what blindness means. This<br />

consideration can make blindness seem less bad, because of the adaptation of goals,<br />

but worse because of the need to change the goals. This need may itself be undesired.<br />

If the question is cure rather than prevention, then the people affected are those<br />

with the condition. If their goals are rationally chosen, then we should honor them.<br />

We may find ourselves placing a higher value on the prevention of a condition than<br />

on its cure, because those with the condition have rationally adapted to it. This need<br />

not be as crazy as it sounds. If, however, the adaptation is irrational, a sour-grapes<br />

effect, then we should ignore it <strong>and</strong> treat both groups equally, those who do not have<br />

the condition yet <strong>and</strong> those who have it.<br />

Other methods involving matching <strong>and</strong> comparison<br />

The time tradeoff <strong>and</strong> person tradeoff methods ask the subject to equate two situations<br />

so that they match. The subject does this by changing the amount of time or<br />

the number of people in one of the two situations. In the time tradeoff method, we<br />

assume that utility per time is constant, so we assume that the total utility is the product<br />

of the duration times the utility per unit time. Likewise, in the person tradeoff,<br />

we multiply utility per person by the number of people in each situation.<br />

We can do this in other ways, even when the units in the two situations are different,<br />

so long as there are units. We can compare any two dimensions of situations<br />

by matching the quantity of one of them that has has just as much utility as a given<br />

quantity of the other. For example, we could compare two medical treatments of an<br />

infection in terms of their cost <strong>and</strong> speed of recovery (in days). We could ask how<br />

many days is equivalent to a cost of $50.<br />

We do not need to assume that the utility of days or dollars is constant. We can<br />

specify the numbers involved. Let us, for the moment, assume that the utility of<br />

dollars is linear (within the range of interest) but the utility of days is not. Suppose,<br />

for example, that you are sick <strong>and</strong> missing work. You can afford a day or two, but<br />

after that things get increasingly difficult. So the utility difference between 2 <strong>and</strong> 3<br />

days recovery time is greater than that between 1 <strong>and</strong> 2. The question then might be<br />

to match the following two situations:<br />

A. 2 days recover time, for $50.<br />

B. 1 day recovery time, for $X.<br />

If you said $70, we would infer that the difference between 2 days <strong>and</strong> 1 day has a<br />

utility equal to that of $20. We could ask the same question using 3 days <strong>and</strong> 2 days,<br />

<strong>and</strong> you might give a larger number of dollars, say $80. If we defined the utility of

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