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How useful is utility in practice? 121<br />

Figure 5.15 – Allais’s paradox<br />

A<br />

B<br />

X<br />

Y<br />

(a)<br />

(b)<br />

$1 million<br />

0.89<br />

0.10<br />

0.01<br />

0.9<br />

0.1<br />

0.89<br />

0.11<br />

$1 million<br />

$5 million<br />

$0<br />

$0<br />

$5 million<br />

$0<br />

$1 million<br />

Another criticism of utility relates to what is known as Allais’s paradox.<br />

To illustrate this, suppose that you were offered the choice of options A<br />

and B as shown in Figure 5.15(a). Which would you choose? Experiments<br />

suggest that most people would choose A (e.g. see Slovic and Tversky 13 ).<br />

After all, $1 million for certain is extremely attractive while option B<br />

offers only a small probability of $5 million and a chance of receiving $0.<br />

Now consider the two options X and Y which are shown in Figure<br />

5.15(b). Which of these would you choose? The most popular choice in<br />

experiments is X. With both X and Y, the chances of winning are almost<br />

the same, so it would seem to make sense to go for the option offering<br />

the biggest prize.<br />

However, if you did choose options A and X your judgments are in<br />

conflict with utility theory, as we will now show. If we let u($5 m) = 1<br />

and u($0) = 0, then selecting option A suggests that:<br />

u($1 m) is greater than 0.89 u($1 m) + 0.1 u($5 m) + 0.01 u($0 m)<br />

i.e. u($1 m) exceeds 0.89 u($1 m) + 0.1 which implies:<br />

u($1 m) exceeds 0.1/0.11

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