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Thinking and Deciding

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252 NORMATIVE THEORY OF CHOICE UNDER UNCERTAINTY<br />

Figure 10.1: Utility of a person’s total wealth, according to Bernoulli<br />

per day than with none, <strong>and</strong> better with two than with one, but if someone is already<br />

giving you five oranges per day, an additional orange would probably make no difference<br />

at all — unless you treated the orange like money <strong>and</strong> tried to trade it for<br />

something else. Money is less like this than most goods, because it is so versatile.)<br />

Bernoulli suggested that the utility of wealth, for most people, is roughly proportionate<br />

to its logarithm. 6 If this were true, the difference in utility between a total<br />

wealth of 1,000 ducats <strong>and</strong> a total wealth of 10,000 ducats would be about the same<br />

as the difference between 10,000 <strong>and</strong> 100,000. The graph in Figure 10.1 shows the<br />

relationship between utility <strong>and</strong> wealth in Bernoulli’s theory. As shown in the graph,<br />

the value of each additional ducat declines as total wealth increases. Economists<br />

call this the marginal utility of wealth, that is, the utility of wealth at the “margin”<br />

of growth in wealth. The idea of declining marginal utility (with the logarithmic<br />

function) does explain the reluctance of people to spend very much to play the St.<br />

Petersburg game. The extra utility of the high winnings from the very improbable<br />

outcomes (for example, heads on the tenth toss) is no longer high enough to compensate<br />

for their low probability.<br />

The idea of declining marginal utility can explain why people are reluctant to<br />

gamble on even bets. Very few people will accept a bet with “fair” odds. For example,<br />

few people would be willing to give up $10 for a bet in which they win $16 if a<br />

coin comes up heads <strong>and</strong> $4 if it comes up tails. Of course, $10 is the expected value<br />

of the bet, the average value if the bet were played many times. Figure 16.2 shows<br />

the utility of each outcome of this bet, assuming that the utility of each outcome is<br />

its square root. This function is marginally declining; that is, its slope decreases.<br />

Notice that the utility of $10 is 3.16 (which is √ 10), but the expected utility of the<br />

bet is 3, which is the average of the utilities of its two, equally likely, outcomes (with<br />

utilities of 2 <strong>and</strong> 4, respectively). The expected utility of the bet (3) is lower than<br />

6 Specifically, Bernoulli argued that “it is highly probable that any increase in wealth, no matter how<br />

insignificant, will always result in an increase in utility which is inversely proportionate to the quantity<br />

of goods already possessed.” This assumption yields a logarithmic function. Bernoulli gave no other<br />

justification for this function.

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