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Thinking and Deciding

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50 THE STUDY OF THINKING<br />

Incentives<br />

Experimental economists typically put people in real situations, in which payoffs depend<br />

on subjects’ responses. They argue that asking people what they would do is<br />

less useful than observing what people actually do. Studies that compare hypothetical<br />

<strong>and</strong> real choices that involve money typically find small differences — which<br />

may result from differential attention to certain features of the real situation — but<br />

the same effects (Beattie <strong>and</strong> Loomes, 1997; Camerer, 1995; Irwin et al., 1992). In<br />

no case has anyone ever found an effect for hypothetical choices that is not found for<br />

real choices, or vice versa.<br />

Some of the worry about hypothetical choices is that they are too far removed<br />

from reality. Two points can be made in reply. First, in some cases, we are interested<br />

in how people think rather than just in what they do. This is not an idle interest,<br />

because knowing how people think can help us persuade them to think <strong>and</strong> act differently,<br />

if they should. Economists call such persuasion “cheap talk,” but much of<br />

child rearing <strong>and</strong> education takes exactly this form.<br />

Second, the argument about unreality is true, but it is true of experiments that<br />

use real money too. Demonstrations of any effect in the laboratory are not enough<br />

to show that the effect is important in the real world. For example, take the case<br />

of the outcome bias described earlier, in which we judge decision makers according<br />

to their good or bad luck rather than the quality of their decision making. This<br />

bias could cause us to hold people responsible for events they could not control. In<br />

order to find out whether it is really important, though, we need to go beyond the<br />

laboratory <strong>and</strong> look for examples where this might have happened in the real world.<br />

Discovery of such cases does not settle the issue either. In the real world, we lack<br />

the control of extraneous variables that is possible only in the laboratory. But both<br />

kinds of demonstrations together can give us sufficient confidence to act, if action is<br />

otherwise warranted.<br />

Development of normative models<br />

The study of thinking, as we have seen, involves the comparison of actual judgments<br />

<strong>and</strong> decisions to some normative st<strong>and</strong>ard. We cannot determine this st<strong>and</strong>ard by<br />

observing what people do, through gathering descriptive information. The point is<br />

to evaluate our judgments <strong>and</strong> decisions, to see if they can be improved. We cannot<br />

do this if we adopt a st<strong>and</strong>ard of evaluation that we know in advance will tell us that<br />

nothing is wrong.<br />

Where, then, do normative models come from? This is a hard question, but it has<br />

some possible answers. One answer is implicit in the discussion of within-subject<br />

versus between-subject experiments. Normative st<strong>and</strong>ards are whatever people take<br />

them to be. If you think that luck should not affect your judgments of someone else’s<br />

decision-making ability, <strong>and</strong> if luck does affect your judgment, then you are inconsistent<br />

with your own st<strong>and</strong>ard. This is a minimal definition of normative models.

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