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Thinking and Deciding

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NEGOTIATION 437<br />

outcomes for one party on one axis of a two-dimensional graph <strong>and</strong> the possible<br />

outcomes for the other party on the other axis. The axes can now represent utilities,<br />

or amounts of money, or any other quantities. The diagram represents a hypothetical<br />

case in which two brothers bargain over an inheritance that they must divide among<br />

themselves <strong>and</strong> that is their main wealth. The axes are the utilities. Brother A lives<br />

in a country that taxes inheritances above a certain amount.<br />

An important set of outcomes is shown as a dark line. These are “best possible”<br />

outcomes, in a certain sense: Each outcome cannot be improved upon for one party<br />

without making the situation for the other party worse. Outcomes of this sort are<br />

called Pareto optimal (after the economist Vilfredo Pareto). Pareto optimal outcomes<br />

are said to dominate all other outcomes, because they are at better in some ways <strong>and</strong><br />

worse in no ways. The set of Pareto-optimal outcomes is called the “Pareto frontier.”<br />

For any outcome not on the Pareto frontier, we can find another outcome that is better<br />

for at least one of the two parties <strong>and</strong> worse for neither. Nonoptimal outcomes cannot<br />

maximize utility, so we can say something about utility maximization, even when we<br />

cannot compare precisely the utilities of the parties.<br />

A body of theory has developed to help choose among Pareto-optimal outcomes<br />

(see Elster, 1989b, <strong>and</strong> Luce <strong>and</strong> Raiffa, 1957, ch. 6). Although utilitarian theory<br />

specifies that the outcome chosen must have the highest total utility, the parties cannot<br />

find that outcome unless they trust each other <strong>and</strong> know enough about each other<br />

to compare their utilities. (Married couples can sometimes approximate this situation,<br />

but strangers or adversaries typically cannot.) Nash (1950) suggested maximizing<br />

the product of the two utilities rather than their sum. This yields the same<br />

solution, even if one of the axes is multiplied by a constant, <strong>and</strong> it has other neat<br />

properties. It does not make the task of negotiation much easier, however.<br />

A third representation of negotiation is possible when two or more dimensions<br />

are at issue. For example, in the sale of a house, the parties often negotiate about both<br />

the price <strong>and</strong> the time when the transfer will occur. If the seller needs the money in<br />

a week to pay for a new house but the buyer is in no hurry, the speed of the sale can<br />

mean much more to the seller. Unless she gets the money right away, she will have

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