This excerpt from An Invitation to Cognitive Science - 2nd Edition - Vol. 3. Edward E. Smith and Daniel N. Osherson, editors. © 1995 The MIT Press. is provided in screen-viewable form for personal use only by members of MIT CogNet. Unauthorized use or dissemination of this information is expressly forbidden. If you have any questions about this material, please contact [email protected]. Chapter3 DecisionMaking EldarShaftrandAmosTversky 3.1 Introduction Decisionsabout what to buy, whom to vote for, or where to live, shape many aspectsof our lives. The study of decision making is an interdisciplinary , and psychology, enterpriseinvolving economics, political science as well as statistics and philosophy. One can distinguish two approaches to the analysisof decisionmaking, the normative and the descriptive. The normative approach, which underliesmuch of economicanalysis, assumes a rational decision maker, who has well-defined preferencesthat do not depend on the particular description of the options or on the specific methods for eliciting preference. This conception, which has come to be known as the rational theory of choice, is based primarily on a priori considerationsrather than on experimentalobservation. As a consequence , it has a better claim as a normative accountof how decisionsought to be madethan as a descriptive theory of how decisionsare actually made. The descriptive approach to individual decision making is based on of choice behavior. The empirical observation and experimental studies ' s choices are often at odds that evidence indicates people experimental with the assumptionsof the rational theory, and suggestssome empirical ' generalizationsthat characterizepeoples choices. In this chapter we describesome selectedfindings and discussseveralpsychological principles that underlie the decision-making process. In the next section we address ' the psychological evaluation of gains and losses, and consider peoples attitudes toward risk. Section 3.3 demonstratesthat alternative descriptions of a decision problem can give rise to predictably different choices. Section3.4 addresses the asymmetry between the Evaluationof gains and . Section 3.5 demonstrateshow alternative losses, known as lossaversion of this chapterwassupportedby US PublicHealthServiceGrantNo. l -R29Preparation MH4688Sfrom the NationalInstituteof MentalHealth, by GrantNo. SBR-9408684from . It was Foundation the NationalScience , andby a grant from the RussellSageFoundation completedwhile the authorswereFellowsat the Institutefor AdvancedStudiesand the Centerfor RationalityandInteractiveDecisionTheoryof The HebrewUniversity. 78 Shanrand Tversky methods of eliciting people's preferencesgive rise to inconsistent decisions . In section 3.6 we addressthe role of conflict and show how preference among options is altered by the addition of new alternatives. The tension between descriptive and normative conceptions of decision making is addressedin the concluding section. (Further discussionof the relation between normative and descriptive analyses is provided in chapters2 and 6.) 3.2 Risk and Value Many decisionsin the real world (suchas investment, gambling, insurance) are risky in the sensethat their outcomesare not known with certainty. To make such decisions, one has to consider two factors, the desirability of the potential outcomesand their probability of occurrence . Indeed, decision theory is concernedwith the question of how these factors are, or should be, combined. Consider a choice between a risky prospect that offers a SO percent chanceto win $200 (and a SOpercent chance to win nothing) and the alternative of receiving $100 for sure. Most people prefer the sure gain over the gamble, although the two prospects have the same expected value. The expectedvalue of a gamble is a weighted averagewhere each possible outcome is weighted by its probability of occurrence. The expected value of the gamble above is .50 x $200 + .50 x 0 = $100. A preferencefor a sure outcome over a risky prospect that has higher or ; a preferencefor a risky prospect equal expectedvalue is called risk averse over a sure outcome that has higher or equal expected value is called risk seeking . As illustrated above, people tend to be risk aversewhen choosing between prospectswith positive outcomes. This tendency toward risk aversion can be explainedby appealingto the notion of diminishing sensitivity. Just as the impact of a candle is greater when it is brought into a dark room than into a room that is well lit , so the impact of an additional $100 is greater when it is added to a gain of $100 than when it is added to a gain of $800. This principle was first formalized by Daniel Bernoulli and Gabriel Cramer, who proposed early in the eighteenth century that subjectivevalue, or utility , is a concavefunction of money, as illustrated in figure 3.1. (A function is concaveif a line joining any two points on the curve lies entirely below the curve.) Notice that according to such a function the utility difference, u($200) - u($100), is greater than the utility difference, u($900) - u($800), though the dollar differencesare the same. Bernoulli and Cramerproposedthat a personhas a concaveutility function that captureshis or her subjectivevalue for money, and that prefer- Decision Making 79 Subjective Value 100 200 800 900 $ Figure 3.1 Subjective Value 100 200 $ Figure 3.2 encesshouldbe describedusing expectedutility insteadof expectedvalue. According to expectedutility , the worth of a gambleoffering a SOpercent chanceto win $200 (and a SOpercent chanceto win nothing) is .50 x u($200), where u is the person's utility function. (Assume that u(O) = 0.) As can be seen from Agure 3.2, it follows from such a function that the subjectivevalue attachedto a gain of $100 is more than so percent of the value attachedto a gain of $200, which entailspreferencefor the sure$100 gain and, hence, risk aversion. Expectedutility theory and the assumption of risk aversion playa central role in the standard economic analysis of choicebetweenrisky prospects. Let us turn now to choice involving losses. Supposeyou are forced to choosebetween a prospect that offers a SOpercent chanceto lose $200 (and a SOpercent chanceto lose nothing) and the alternative of losing $100 for sure. In this problem, most people reject the sureloss of $100 and prefer to take an even chanceat losing $200 or nothing. Notice that, as in the choice above involving gains, the prospectshave the sameexpected 80 Sham and Tversky $ -200 - 100 Subjective Value Figure 3.3 value. This preferencefor a risky prospect over a sure outcome that has the same expected value is an instance of risk seeking. Evidently, risk aversiondoesnot always hold, in contrast to traditional economicanalysis. In fact, except for prospects that involve very small probabilities, risk aversion is generally observed in choices involving gains, whereas risk seekingtends to hold in choicesinvolving losses. The combination of risk aversion for gains and risk seeking for losses can be explainedby assumingthat diminishing sensitivity appliesto negative as well as to positive outcomes. Consequently, the subjective value function for losses is convex, as depicted in figure 3.3. (A function is convex if a line joining any two points on the curve lies entirely above the curve.) According to such a function, the worth of a gamble that offers a SOpercent chanceto lose $200 is greater (that is, less negative) than that of a sure loss of $100. That is, .50 x u( - $200) > u( - $100). This result implies a risk-seekingpreferencefor the gamble over the sureloss. By conjoining figures 3.2 and 3.3, we obtain an S-shapedvalue function that is concavefor gains and convex for losses, as illustrated in figure 3.4. This function forms part of a descriptive analysis of choice, known as ProspectTheory, which accountsfor observed regularities in risky choice (Kahnemanand Tversky 1979; Tversky and Kahneman1992). The value function of Prospect Theory has three important properties: (1) it is defined on gains and lossesrather than total wealth, (2) it is steeperfor losses than for gains, and (3) it is concavefor gains and convex for losses. The first property states that people normally treat outcomes as gains and lossesdefined relative to a neutral referencepoint, rather than in terms of total wealth, as we shall illustrate. The secondproperty, calledlossaversion , statesthat lossesgenerally loom larger than correspondinggains. Thus, a loss of $X is more aversivethan a gain of $X is attractive, which is implied by a function that is steeper for losses than for gains, that is, where u($X) < - u( - $X), as in figure 3.4. Value Decision Making 81 LossesGains Figure 3.4 The third property of the value function implies the risk attitudes described earlier: risk aversion in the domain of gains and risk seekingin the domain of losses. Although there is a presumptionthat people are entitled to their own valuesand eachof the attitudes above seemsunobjectionable on its own, the combination of the two leads to unacceptableconsequences , as we shall show. 3.3 FramingEffects Consider the following problems (Tversky and Kahneman 1986). The numbers in brackets indicate the percentageof respondentswho chose eachoption . (The number of respondentsin eachproblem is denoted N.) Problem1 (N = 126) Assumeyourself richer by $300 than you are today. You have to choosebetween . a sure gain of $100 [72%] . a 50% chanceto gain $200 and a 50% chanceto gain [28%] nothing Problem2 (N = 128) Assumeyourself richer by $500 than you are today. You have to choosebetween 82 ShafirandTversky . a sureloss of $100 . a 50% chanceto lose nothing and a 50% chanceto lose $200 [36%] [64%] In accord with the value function above, most subjects presented with problem 1, which is framed as a choice between gains, are risk averse, whereasmost subjects presentedwith problem 2, which is framed as a choice between losses, are risk seeking. However, the two problems are essentiallyidentical: When the initial payment of $300 or $500 is addedto the respectiveoutcomes, both problemsamount to a choicebetween $400 for sure and an even chanceat $300 or $500. The different responsesto problems 1 and 2 show that subjectsdid not combine the initial payment with the choice outcomesas required by normative analysis. As a consequence , the samechoiceproblem framedin alternativeways led to systematically different choices. This result is called a framing effect . The combination of risk aversion for gains and risk seeking for losses implied by the value function of figure 3.4 can also lead to violations of dominance, which is perhapsthe simplest and most compelling principle nf rational choice. The dominance principle states that if option B is better than option A on one attribute and at least as good as A on all the rest, then B should be chosen over A . For example, given a choice between A : 25% chanceto win $240 and 75% chanceto lose $760 B: 25% chanceto win $250 and 75% chanceto lose $750 the dominanceprinciple requiresthat the decisionmakerprefer option B to option A , becauseB offers the samechancesof winning more than A and of losing less. Consider, in contrast, the following two choices, one involving gains and the other involving losses (Tversky and Kahneman 1981): Problem3 (N = 150) Imagine that you face the following pair of concurrent decisions. First examineboth decisions, then indicate the options you prefer. Decision (i). Choosebetween C: a suregain of $240. D: 25% chanceto gain $1,000 and 75% chanceto gain nothing Decision (ii ). Choosebetween E: a sureloss of $750 F: 75% chanceto lose $1,000 and 25% chanceto lose nothing [84%] [16%] [13%] [87%] Decision Making 83 Notice that the expected value of optionD is .25 x $1,000 = $250, whereas the expected value of option F is .75 x - $1,000 = - $750. Hence, as the data show, the majority choice in decision (i) is risk averse, and the majority choice in decision (ii ) is risk seeking, as predicted by the value function. As it turns out, 73 percentof the subjectschosea combination of the two most popular options, C and F, and only 3 percent of the subjectschosea combination of the two least popular prospects, D and E. Simplecalculation, however, shows that the combinationof C and F yields prospectA above, whereasthe combination of D and E yields prospect B (see problem 3.1). Thus, a great majority of subjectsviolated dominance and selectedan inferior combination of prospects. In contrast, when subjects were presentedwith a direct choice between A and B, everybody naturally chosethe dominant option B. Thus, the principle of dominanceis obeyed when its application is transparent, but is often violated when it is not. In particular, the demonstration above shows that the tendency to evaluateprospectsin isolation, combined with the common risk attitudes capturedby figure 3.4, can lead to the selectionof a dominatedoption . The effects of &aming and the characteristicsof the value function are not limited to monetary outcomes, as demonstrated by the following choices between health policies involving human life (Tversky and Kahneman1981): Problem4 (N = 152) Imagine that the United Statesis preparing for the outbreak of an unusual Asian disease , which is expected to kill 600 people. Two alternative programs to combat the diseasehave been proposed. Assumethat the exact scientificestimatesof the consequences of the are as follows: programs If ProgramA is adopted, 200 people will be saved. [72%] If Program B is adopted, there is 1/ 3 probability that 600 people will be saved, and 2/ 3 probability that no people will be saved. [28%] Notice that both programs have the sameexpected value in terms of " " human lives. Becausesaving people is perceivedas a gain, the majority of subjectsmade the risk-aversechoiceof saving 200 people for sure over the chanceof saving either 600 people or no one. A second group of subjectswas given the same cover story with these descriptions of the alternativeprograms: Problem5 (N = 155) If Program Cisadopted , 400 people will die. [22%] 84 Shafirand Tversky If ProgramD is adopted, there is 1/ 3 probability that nobody will die, and 2/ 3 probability that 600 people will die. [78%] Here the outcomesof the two programsare describedin terms of lives lost. Accordingly, the majority of subjectsmade the risk-seeking choice, avoiding the sure loss of 400 lives in favor of the chanceto saveeither all 600 or no one. Subjectsagain exhibited the familiar pattern of risk aversion in the domain of gains and risk seekingin losses. However, problems4 and 5 present the sameoptions. In particular, programs A and B are identical, respectively, to programsC and D. They differ only in that the former are framed in terms of number of lives saved, whereasthe latter are framed in terms of lives lost. An essentialelementin the rational theory of choiceis the requirement, known as descriptioninvariance , that equivalent representationsof a choice should the same . That is, an individual' s preference yield problem preferences betweenoptions should not dependon the mannerin which they are described, provided the descriptions convey the same information. The majority preferencesexpressedin problems 4 and 5, however, violate the principle of description invariance and show that framing the same problem in terms of gains or in terms of lossesgives rise to predictably different choices. Framing effects are pervasive and are often observed even when the samerelpondents answer both versions of a problem. Furthermore, they are found in the choicesof both naive and sophisticatedrespondents. For example, experiencedphysiciansmademarkedly different choicesbetween two alternative treatmentsfor lung cancer- surgery and radiation therapy dependingon whether the outcomesof thesetreatmentswere described in terms of mortality rates or in terms of survival rates (seeproblem 3.2). Surprisingly, the physicianswere just as susceptibleto the effect of framing as were graduatestudentsor clinic patients (McNeil , Pauker, Sox, and Tversky 1982). The effectivenessof framing manipulationssuggeststhat people tend to adopt the frame presented in a problem and evaluate the outcomes in terms of that frame. Thus, depending on whether a problem is described in terms of gains or losses, people are likely to exhibit risk-averse or risk-seekingbehaviors. An interesting classof framing effectsarisesin the evaluationsof economictransactionsthat occur in times of inflation. In one study (Sham, Diamond, and Tversky 1994), subjectswere asked to imagine that they worked for a company that produced computers in Singapore, and had to sign a contract for the local sale of new computers in that country. The computers, currently selling for $1,000 apiece, were to be delivered and paid for a year later. By that time, due to inflation, all prices, including production costs and computer prices, were expected to Decision Making 85 increaseby about 20 percent. Subjectshad to choosebetween contract A : selling the computers a year later for the predeterminedprice of $1,200 (that is, 20 percent higher than the current price), and contract B: selling the computersa year later for the going price at that time. For one group of subjectsthe options were describedrelative to the predeterminedprice of $1,200. In this frame, contract A appearsrisklessbecausethe computers are guaranteed to sell for $1,200 no matter what, whereas contract B ' appearsrisky becausethe computers future price will be less than $1,200 if inflation is low , and more than $1,200 if inflation is high. A second with the same alternatives described group of subjects were presented relative to the computers' expectedfuture price. Here, contract B appears risklessbecausethe computerswill be sold next year for their actual price then, regardlessof the rate of inflation. Contract A, on the other hand, appearsrisky: the computersare to be sold for $1,200, which may be more than they are worth if inflation is lower than the anticipated 20 percent, and lessthan they are worth if inflation exceeds20 percent. Becauseof loss aversion, the contract that appearedrisklessin each frame was relatively more attractive than the one that appearedrisky. Thus, contract A was chosenmore often in the former case, when it was framed as riskless, than in the latter, when it was framed as risky. 3.4 Loss Aversion ' One of the basic observations regarding people s reaction to outcomes is that losses appear larger than corresponding gains . This asymmetry in the evaluation of positive and negative outcomes is called loss aversion. Loss aversion gives rise to a value function that is steeper in the negative than in the positive domain , as in figure 3.4. An immediate implication of loss aversion is that people will not accept an even chance to win or lose $X, because the loss of $X is more aversive than the gain of $X is attractive . Indeed, people are generally willing to accept an even -chance prospect only when the gain is substantially greater than the loss. Many people , for example , reject a so so chance to win $200 or lose $ 100, even though the gain is twice as large as the loss (Tversky and Shafir 1992a). The example above illustrates loss aversion in decisions involving risky prospects . The principle of loss aversion applies with equal force to riskless choice, between options that can be obtained for certain (T versky and Kahneman 1991 ). It entails that the loss of utility associated with giving up a good that is in our possession is generally greater than the utility gain associated with obtaining that good . An instructive demonstration of this effect is provided in an experiment involving the selling of mugs (Kahneman, Knetsch , and Thaler 1990). A class is divided into two groups . Some 86 Shafir and Tversky , are given a decoratedmug that they can keep, participants, called sellers and are askedto indicate the lowest price for which they would be willing to sell the mug. A secondgroup, called choosers , are askedto indicate the amount of money that they would find as attractive as the mug. Subjects in both groups are told that, after they state their price, an official market price $X will be revealedand that eachsubject will end up with a mug if his or her asking price exceeds$X, or with $X if it is more than the ' subjects askingprice. Notice that the choosersand the sellers are facing precisely the same decisionproblem: they will all end up with either some money or a mug, and in effect need to decidehow much money they will be willing to take in place of the mug. Hence, standardeconomicanalysispredicts identical asking prices for the two groups. The two groups, however, evaluatethe mug from different perspectives:the chooserscomparereceiving a mug to receiving a sum of money, whereasthe sellerscompareretaining the mug to giving up the mug in exchangefor money. Thus, the mug is evaluated as a potential gain by the choosersand as a loss by the sellers. Consequently , loss aversion, the notion that lossesloom larger than corresponding gains, predicts that the sellers will price the mug higher than the choosers. This prediction was confirmed by the data: the median price of the sellers($7.12) was more than twice as large as the medianprice for the choosers($3.12). The differencebetween these prices reflects an endowment effect, which was produced, instantaneouslyit seems , by endowing individuals with a mug. A closely related manifestationof loss aversion is a general reluctance to trade, which is illustrated in the following study ( Knetsch1989). Subjects were divided into two groups: half the subjectswere given a decorated mug, and the others were given a large bar of Swisschocolate. Later, eachsubjectwas shown the alternativegift , and offered the opportunity to trade the gift they had receivedfor the other. Becausethe initial allocation of gifts was arbitrary and the transaction was costless, economic theory predicts that about half the subjectsshould exchangetheir gifts. On the other hand, if lossesloom larger than gains, then most participantswill be reluctant to give up the gift in their possession(a loss) in order to obtain the other (a gain). Indeed, only 10 percent of the participants chose to trade their gifts. This result contrastssharply with the so percentpredicted by the standardeconomicanalysis, in which the value of a good does not ' changewhen it becomespart of one s endowment. More generally, loss aversion entails a strong tendency to maintain the status quo, becausethe disadvantagesof departing from it loom larger than the advantagesof its alternative. This phenomenonhas been demonstrated in severalexperiments(Samuelson and Zeckhauser1988). For example " , subjectswere given this problem: You have inherited a large sum Decision Making 87 of money from your great uncle. You are consideringdifferent portfolios. Your choicesare to invest in (1) a moderate-risk company, (2) a high-risk " company, (3) treasury bills, (4) municipal bonds. Four groups of subjects were presentedwith the sameproblem, but with one of the four options designated" as the status quo. One version, for example, included the statement: A significantportion of the portfolio you inherited is invested " in a moderate-risk company. The data show that designatinga particular option as the status quo greatly increasedthe tendency to chooseit (even though transactioncosts were said to be insignificant). Although all four groups chose among the sameoptions, subjectstended to stick with the option in which they were already invested. ' A striking framing effect that relies on peoples tendency to maintain the status quo has been observed in the context of real-world insurance decisions. New Jerseyand Pennsylvaniahave recently introduced the option of a limited right to sue, which entitles automobile drivers to lower insurancerates. The two statesdiffer, however, in what they offer consumers as the default option. New Jerseymotorists have to acquire the full right to sue(transactioncostsare minimal: one need only sign), whereasin Pennsylvaniathe full right to sue is the default. When offered the choice, only about 20 percentof New Jerseydrivers choseto acquirethe full right to sue, but approximately 7S percent of Pennsylvaniadrivers chose to retain it. The differencein adoption rates due to the different frameshad financialrepercussionsthat are estimatedat around $200 million (Johnson, Hershey, Meszaros, and Kunreuther 1993). Recall that loss aversion gives rise to a value function with a steeper slope in the negative than in the positive domain. Beyond the reluctance to depart from the status quo, this result implies that the samedifference between two options will be given greater weight when it is viewed as a difference between two disadvantages , or losses (relative to a reference , or point) than when it is viewed as a differencebetween two advantages gains. This prediction is demonstratedin a study in which subjectscompare a combination of a small gain and a small loss with a combination of a larger gain and a larger loss ( Tverskyand Kahneman1991). Subjectsare askedto supposethat they are looking for employmentwhile their present training job is ending. They are askedto considertwo alternativejobs that are like their present job in all respectsexcept for the amount of social contact and the daily commuting time. The relevant information is summarized in the table below. Subjectsare divided into two groups: one group is told that they presently hold job A , the second group is told they presentlyhold job B. Both groups are then askedto choosebetweenjob X and job Y. Becausetheir current jobs are said to be ending, maintaining the statusquo is not an option. 88 Shafirand Tversky PresentJobA JobX JobY PresentJobB SocialContact Daily TmvelTime isolated for long stretches limited contact with others moderately sociable much pleasantsocial interaction 10 min. 20 min. 6Omin. SOmin. Notice that both X and Y are better than A and worse than B with respect to social contact, and both are worse than A and better than B in terms of commuting time. According to standard economic analysis, the choice between X and Y should not depend on the decision maker's current referencepoint . On the other hand, if subjectstreat their presentjob as a referencepoint and if disadvantagesrelative to this referencepoint loom , then subjects are more likely to larger than corresponding advantages choosethe job with the smallerdisadvantagerelative to their current job . Thus, subjects who currently hold job A are expected to favor job X, whereassubjectswho currently hold job B are expected to favor job Y. The data confirm this expectation: more than two -thirds of subjectsin each group chosethe predicted option. Loss aversion, or the asymmetry between the evaluation of gains and losses, emergesas an important empirical generalizationthat has implications for a wide range of decisions. It promotes stability rather than change by inducing people to maintain their current position. A lossaverseindividual at position X would be reluctant to switch to positionY , even though, were she at positionY , she would be reluctant to switch to X. Along theselines, the reluctanceto changeinducedby loss aversion can hinder the negotiated resolution of disputes. If each side to a dispute evaluatesthe opponent' s concessionsas gains and its own concessionsas losses, then agreementwill be hard to reach becauseeach side will perceive itself as relinquishingmore than it standsto gain. A skillful mediator facilitate may agreementby framing concessionsasbargaining chips rather than as losses. 3.5 Eliciting Preference Preferencescan be elicited by different methods. People can be asked to indicate which option they prefer; alternatively, they can be askedto price eachoption by stating the amount of money that is as valuableto them as that option. A standard assumption, known as procedureinvariance , demands that logically equivalent elicitation proceduresshould give rise to the samepreferenceorder. Thus, if one option is chosenover another, it is also expected to be priced higher. Procedureinvariance is essentialfor . For example, interpreting both psychological and physical measurement Decision Making 89 the ordering of physical objects with respect to masscan be established either by placing each object separatelyon a scale, or by placing both objects on two sidesof a pan balance. Procedureinvariancerequiresthat the two methodsyield the sameordering, within the limit of measurement error. Analogously, the rational theory of choice assumesthat an individual hasa well-deAnedpreferenceorder that can be elicited either by choice or by pricing. Thesealternativemethods of elicitation, in turn, should give rise to the sameordering of options. 3.5.1 Compatibility Effects Despite its appealas an abstractprinciple, people sometimesviolate procedure invariance. For example, people often chooseone bet over another, but price the second bet above the first. In one study, subjects were presentedwith two prospectsof similar expectedvalue. One prospect, the H bet, offered a high probability to win a relatively small payoff (for example, 8 chancesin 9 to win $4) whereasthe other prospect, the L bet, offered a low probability to win a larger payoff (for example, a 1 in 9 chanceto win $40). When askedto choosebetween theseprospects, most subjects chose the H bet over the L bet. Subjectswere also asked, on another occasion, to price eachprospectby indicating the smallestamount of money for which they would be willing to sell this prospect. Here, most subjectsassigneda higher price to the L bet than to the H bet. One recent study that used this pair of bets observedthat 71 percent of the subjects chose the H bet, and 67 percent priced Labove H (Tversky, Slovic, and reversal Kahneman 1990). This phenomenon, called preference , has been observedin numerousexperimentsusing a variety of prospectsand incentive . It has also been observedamong professionalgamblersin a schemes LasVegas casino(Slovic and Lichtenstein1983). What is the causeof preferencereversal? Why do peopleassigna higher monetary value to the low -probability bet, but choosethe high-probability bet more often? It appearsthat the major causeof preferencereversalis a differential weighting of probability and payoff in choice and pricing, induced by the required response. In particular, experimental evidence indicates that an attribute of an option is given more weight when it is compatiblewith the responseformat than when it is not (Tversky, Sattath, and Slovic 1988). This account suggeststhat becausethe price that the subject assignsto a bet is expressedin dollars, the payoffs of the bet, which are also expressedin dollars, will be weighted more heavily in , the L bet (which has the higher pricing than in choice. As a consequence in more is evaluated favorably pricing than in choice, which can payoff) . This accounthas been supported by the to reversals rise give preference observationthat the incidenceof preferencereversalswas greatly reduced 90 Shafir and Tversky for bets involving nonmonetary outcomes, suchas a free dinner at a local restaurant, where the outcomes and the subjects' prices are no longer expressedin the same units and are therefore less compatible (Slovic, Griffin, and Tversky 1990). The compatibility hypothesis does not depend on the presenceof risk. Indeed, it predicts a similar discrepancybetween choice and pridng in the context of risklessoptions that have a monetary component. Consider a long-term prospect L, which pays $2,500 five years from now, and a short-term prospectS, which pays $1,600 in one and a half years. Subjects were invited to choosebetween L and S and to price both prospectsby stating the smallest immediate cash payment for which they would be willing to exchangeeachprospect ( Tversky, Slovic, and Kahneman1990). Becausethe payoffs and the prices again are expressedin the sameunits, compatibility suggests that the long-term prospect (offering the higher payoff) will be overvaluedin pridng relative to choice. In accordwith this hypothesis, subjectschosethe short-term prospect 74 percent of the time but priced the long-term prospect above the short-term prospect 75 percent of the time. These observations indicate that different methods of elicitation (for example, choiceand pridng ) caninducedifferent weightings of attributes that in turn give rise to preferencereversals. 3.5.2 Relative Prominence Another psychological mechanismthat leads to violations of procedure invariance involves the notion of relative prominence. In many cases , people agree that one attribute (for instance, safety) is more important than another (such as cost). Although the interpretation of such claims is not entirely clear, there is evidencethat the attribute that is judged more important looms larger in choice than in pricing ( Tversky, Sattath, and Slovic 1988). This is the prominencehypothesis . To illustrate this notion, considertwo programs designedto reducethe number of fatalities due to traffic accidents, characterizedby the expectedreduction in the number of casualtiesand an estimatedcost. Becausehumanlives are regardedas more important than money, the prominencehypothesis predicts that this dimension will be given more weight in choice than in pricing. When given a choice between programsX and Y below, the great majority of respondents favored X, the more expensiveprogram that savesmore lives. ProgramX ProgramY &peded numberof casualties Cost 500 570 SssmillionS 12million However , when the cost of one of the programs is removed and subjects are asked to detennine the missing cost so as to make the two Decision Making 91 programs equally attractive, nearly all subjectsassign values that imply a preferencefor Y , the less expensive program that saves fewer lives. For example, when the cost of program X is removed, the median estimate of the missing cost that renders the two programs equally attractive is $40 million. This choice implies that at $55 million, program X should not be chosen overprogramY , contrary to the aforementioned choice. Thus, the prominent attribute (saving lives) dominatesthe choice but not the pricing. This discrepancysuggeststhat different public policies will be supported depending on whether people are asked which policy they prefer or how much, in their opinion, each policy ought to cost. Further applications of the prominencehypothesis were reported in a ' study of peoples responseto environmental problems (Kahnemanand Ritov 1993). Several pairs of issues were selected, where one issue involves human health or safety and the other protection of the environment . Each issue includes a brief statement of a problem, along with a suggestedform of intervention, as illustrated. Problem : Skin cancer &om sun exposure is common among farm workers. Intervention : Supportee medicalcheckupsfor threatenedgroups. Problem : SeveralAustralian mammalspeciesare nearly wiped out by hunters. Intervention : Contribute to a fund to provide safebreeding areasfor thesespecies. One group of subjectswas askedto choosewhich of the two interventions they would rather support; a secondgroup of subjectswas presented with one issueat a time and askedto determine the largest amount they would be willing to pay for the respectiveintervention. Becausethe treatment of cancerin human beings is generally viewed as more important than the protection of Australian mammals, the prominence hypothesis predicts that the former will receive greater support in direct choice than in independent evaluation. This prediction was confirmed. When asked to evaluate each intervention separately, subjects, who might have been moved by theseanimals' plight , were willing to pay more, on average, for safe breeding of Australian mammals than for &ee checkups for skin cancer. When facedwith a direct choice between these options, however, most subjectsfavored &ee checkupsfor humans over safe breeding for mammals. Thus, people may evaluateone alternativemore positively than another when each is evaluated independently, but then reverse their evaluation when the alternativesare directly compared, which accentuates the prominent attribute. 92 3.5.3 ShaRf andTversky Weighing Pros and Cons Considerhaving to chooseone of two options or, alternatively, having to reject one of two options. Under the assumptionof procedureinvariance, the two tasks are interchangeable . In binary choice it should not matter whether people are askedwhich option they prefer, or which they would reject: if people prefer the first they should reject the second, and vice versa. In line with the notion of compatibility, however, we may expect that the positive features of options (their pros) will loom larger when choosing, whereas the negative features of options (their cons) will be weighted more heavily when rejecting. It is natural to select an option becauseof its positive features, and to reject an option becauseof its negative features. This accountleadsto the following prediction: Imagine two options, an " enriched" , with many positive and many negative features, and an option " " impoverished option, with few positive and few negative features. If positive features are weighed more heavily when choosing than when rejecting and negative featuresare weighed more heavily when rejecting than when choosing, then an enriched option could be both chosenand rejectedmore &equently than an impoverishedoption. Consider, for example , the following problem, which was presentedto subjectsin two versions that differed only in the bracketedquestions(Shafir 1993). Half the subjectsreceivedone version, the other half receivedthe other. Problem6 (N = 170) Imaginethat you serveon the jury of an only -child sole-custody case following a relatively messy divorce. The facts of the case are complicatedby ambiguouseconomic, social, and emotional considerations , and you decide to base your decision entirely on the following few observations. [ To which parent would you award sole custody of the child? / To which parent would you deny sole custody of the child?] ParentA averageincome averagehealth average - working- hours reasonablerapport with the child relatively stable sodallife ParentB above-averageincome very close relationship with the child extremely active sodallife lots of work -related travel minor health problems Award Deny [36%] [45%] [64%] [55%] Decision Making 93 ParentA , the impoverishedoption, is quite plain- with no striking positive or negative features. There are no particularly compelling reasonsto award or deny this parent custody of the child. Parent 5, the enriched option, on the other hand, has good reasons to be awarded custody (a very closerelationshipwith the child and a good income), but also good reasonsto be denied sole custody (health problemsand extensiveabsences due to travel). To the right of the options are the percentagesof subjects who choseto award and to deny custody to eachof the parents. Parent5 is the majority choice both for being awarded custody of the child and for being denied it , presumablybecausethis parent provides more compelling reasonsboth to be awarded as well as denied child custody. As a result, the child is significantly more likely to end up with parent 5 when we ask whom to award custody to than when we contemplatewhom to deny. This discrepancyrepresentsanother violation of procedure invarLance , in which two logically equivalent tasks give rise to predictably different choices. 3.6 Choice under Conflict The rational theory of choice assumes that each alternative has a utility or subjective value for the decision maker. Given a set of options , the decision maker selects the alternative with the highest value. This principle of value maximization is routinely assumed in analyzing consumer choice. It implies that the preference between options cannot be reversed by the addition of new alternatives . If you prefer salmon to steak, for example, you should not select steak &om a larger menu that includes salmon, unless, of course, other entrees provide some information about the quality of the steak or the salmon. Thus , a non prefer red option cannot be made " by introducing new alternatives . Consequently , the market preferred " share of an option (that is, the proportion of people who select it ) cannot be increased when new options are added. In particular , the proportion of people who choose the option to defer decision should not increase when additional alternatives become available. Despite the simplicity' and intuitive appeal of the principle above , there is evidence that people s preference between two options can depend on the presence or absence of a third alternative . The introduction of a third option can make the decision easier or harder to resolve and thus can affect preference and increase the tendency to defer choice. The making of decisions often creates conflict : we are not sure how to trade off one attribute relative to another or which option would benefit us most . When people are offered a single attractive option , there is little conflict and choice is easy; however , when two or more attractive options are available , each 94 Shafirand Tversky with its advantagesand disadvantages , people often experienceconflict, which may compel them to delay decision, maintain the statusquo, or seek additional information. The economist Thomas Schelling tells of an occasionon which he had decided to buy an encyclopediafor his children, and was presentedat a bookstore with two attractive options. Finding it difficult to choose between them, he endedup buying neither, although had only one encyclopedia been available, he would have happily bought it. More generally, there are situations in which people prefer each of the available alternatives over the status quo but do not have a compelling reasonforchoosing among the alternatives and, as a result, defer the decision, perhaps indeAnitely. This phenomenonis demonstratedby this pair of problems, which were presentedto two groups of students( Tverskyand Shafir 1992b). Problem7 (N = 121), Low Conflict Supposeyou are consideringbuying a compactdisc (CD) player, and have not yet decidedwhat model to buy. You passby a store that is having a one- day clearancesale. They offer a popular SONY player for just $99, well below the list price. Do you? [66%] y . buy the SONY player z. wait until you learn more about the various models [34%] Problem8 (N = 124), High Conflict Supposeyou are consideringbuying a compactdisc (CD) player, and have not yet decidedwhat model to buy. You passby a store that is having a one-day clearancesale. They offer a popular SONY player for just $99, and a top-of-the-line AIWA player for just $169, both well below the list price. Do you? x. buy the AIWA player y . buy the SONY player z. wait until you learn more about the various models [27%] [27%] [46%] The results indicate that people are more likely to buy a CD player in the former, low conflict, condition than in the latter, high conflict, situation. Both products- the AIW A and the SONY- seem attractive, both are well priced, and both are on a one-day sale. The decisionmaker needsto determine whether she is better off with a cheaper, popular product, or with a more expensiveand sophisticatedone. This conflict is not easy to resolve, and compelsmany subjectsto put off the purchaseuntil they learn more about the various products. On the other hand, when the SONY alone is available, there are compelling argumentsfor its purchase: it is a popular player, it is very well priced, and it is on salefor one day only . In Decision Making 9S this situation, a greater majority of subjects decide to opt for the CD player rather than delay the purchase. Adding a competing alternative in the precedingexampleincreasedthe tendency to delay decision. Adding an option can also have the opposite effect, as illustrated in this problem, in which the original AIW A player was replacedby an inferior model. Problem9 (N = 62), Dominance Supposeyou are consideringbuying a compactdisc (CD) player, and have not yet decidedwhat model to buy. You passby a store that is having a one-day clearancesale. They offer a popular SONY player for just $99, well below the list price, and an inferior AIW A player for the regular list price of $105. Do you? x' . buy the AIWA player [.3%] . the SONY 7.3 [ %] y buy player z. wait until you learn more about the various models [24%] In this version, the AIW A player is dominatedby the SONY: it is inferior in quality and costs more. Thus, the presenceof the AIWA does not detract from the reasonsfor buying the SONY, it actually supplements them: the SONY is well priced, it is on sale for one day only, and it is clearly better than its competitor. As a result, in the presenceof the inferior AIW A , the SONY is chosenmore often. More generally, adding a dominatedalternativetends to increasethe market shareof the dominating option (Huber, Payne, and Puto 1982), contrary to the prediction of value maximization. In the scenarioabove, the addedoptions (the superior CD player in one caseand the inferior player in the other) may have conveyed some information about the consumer's chancesof finding a better deal. This interpretation does not apply to the following demonstrations, in which there is no opportunity to learn about the options, and the decision cannot be delayed. One group of subjects(N = 106) was offered a choice between $6 and an elegant Cross pen. The pen was selectedby .36 percent of the subjects, and the remaining 64 percent chose the cash. A second group (N = 115) was given a choice among three options: $6 in cash, the same Cross pen, and a second pen that was distinctly less attractive. Only 2 percent of the subjectschose the less attractive pen, but its presence increasedthe percentageof subjectswho chose the Cross pen from .36 percent to 46 percent (Simonsonand Tversky 1992). Studentsof marketing recount many instancesof the phenomenonabove in the marketplace. A common tactic usedto induceconsumersto purchasea given product is to introduce an inferior option that rendersthe product in question more attractive. For example, Williams-Sonoma, a mail-order and retail business 96 Shafir and Tversky located in San Francisco , used to offer a bread-baking appliancepriced at $275. They then added a secondbread-baking appliance, very similar to the first except that it was larger but could not bake whole-wheat bread. The new item was priced at $429, more than 50 percent higher than the original appliance. Not surprisingly, Williams-Sonomadid not sell many units of the new item, but the salesof the less-expensiveappliancealmost doubled. The effect of added alternatives is not limited to decisions made by consumers. In one study (Redelmeierand Shafir 1995), 287 experienced physicians were presented with a description of a hypothetical patient suffering from chronic hip pain and about to be referred to orthopedics. Half the physicians were presentedwith a choice of whether or not to assign this patient a particular medication (Motrin ); the other half were presented with two alternative medications (Motrin and Feldene). The proportion of physicianswho refrained from assigning any new medication was 53 percentin the former group and 72 percentin the latter. Thus, the availability of a second medication reduced the tendency to assign either. Evidently, the difficulty of deciding which of the two medications was preferableled many physiciansto avoid medicationaltogether. The experimental evidence shows that, contrary to the principle of value maximization, the availability of additional alternativescan increase conflict and lead the decisionmaker to maintain the status quo, avoid the decision, or postpone it indefinitely. It is difficult to overestimate the significanceof the tendency to delay decision. Many things never get done, not becauseone has chosennot to do them, but becausethe person has chosennot to do them now. The following demonstration illustrates this point . Studentswere offered $5 for answering and returning an assigned questionnaireby a given date. One group was given 5 days to completethe questionnaire,a secondgroup was given 3 weeks, and a third group was given no definite deadline. The correspondingrates of return were 60 percent, 42 percent, and 25 percent. Thus, the more time students had to complete the task, the less likely they were to do it. Just as adding a seconddrug reducesthe tendency to administermedication, so too can extending time reducethe likelihood of completing an assignment. 3.7 Discussion In this chapterwe have applieda numberof psychologicalprinciplesto the analysis of individual decision making. We have invoked the notion of to derive the shapeof the value function, which diminishing sensitivity ' reflectspeoples evaluation of gains and losses. This function accountsfor common observations of risk aversion in the domain of gains and risk Decision Making 97 seeking in the domain of losses. Because the same outcomes can sometimes be described either as gains or as losses, alternative framings of a decision problem can give rise to predict ably different choices. We have also considered the principle of loss aversion , according to which losses have a greater impact than the corresponding gains . Loss aversion accounts for a wide range of findings , notably the reluctance to depart from the status quo . Additional psychological principles were introduced to account for elicitation effects. We suggested that different attributes of options are weighted differently in choice and in pricing , and we invoked the notions of compatibility and prominence to explain the discrepancy between these procedures . Finally , we have appealed to considerations of conflict , or choice difficulty , to explain some effects of the addition of options and the tendency to defer decision . The psychological principles discussed in this chapter do not form a unified theory , comparable to the rational theory of choice. However , they help explain a wide range of empirical findings that are incompatible with the rational theory . Recall that this theory assumes consistent preferences that satisfy description and procedure invariance . In contrast , the experimental evidence suggests that preferences are actually constructed , not merely revealed , in the elicitation process, and that these constructions depend on the framing of the problem , the method of elicitation , and the available set of options . We have suggested that the rational theory of choice provides a better ' account of people s normative intuitions than of their actual behavior . When confronted with the fact that their choices violate dominance or descript i Qninvariance , people typically wish to modify their behavior to ' conform with these principles of rationality . Evidently , people s choices are often at variance with their own normative intuitions . The tension between normative and descriptive theories of choice is analogous to the tension between normative and descriptive theories of ethics. A normative ethical account is concerned with the principles that underlie moral judgments . A descriptive ethical account , on the other hand, is concerned with actual human conduct . Both enterprises are essentially empirical ; the first ' addresses people s intuitions , whereas the second focuses on their actual behavior . The two analyses, of course, are interrelated but they do not coincide . For example , people generally agree that one should abstain from lying and contribute to worthy causes, despite the fact they do not always do so. Similarly , people tend to accept the normative force of dominance and description invariance , even though these are often violated in their actual choices. Although the distinction between the normative and descriptive accounts is obvious in the study of ethics, it is somewhat controversial in the study of decision making . This difference may be due to the 98 Shamand Tversky fact that it is easier to understand violations of ethical norms that stem from self-interest or lack of self- control , than violations of rational norms that stem from the nature of cognitive operations . Suggestions for Further Reading Elementaryintroductionsto the field of behavioraldecisiontheory includeBazerman (1992), Dawes(1988), Hogarth(1987), and Yates(1990). von Winterfeldtand Edwards , coveringan areaknownas (1986) is an introductionwith moreof an appliedperspective . Thaler(1992) focuseson the role of behavioraltheory in interpreting decisionanalysis . Shafir numerouseconomicanomalies , Simonson , andTversky(1993) considerthe role of . For collectionsof primaryarticlesrelatingbehavioral reasonsin the makingof decisions decisiontheory to variousdomainsof inquiry, rangingfrom economicsand the law to andphilosophy , andTversky , seeArkesandHammond(1986), andBell, Raiffa engineering , Bettman , and (1988). Recentreviewsof the field areprovidedby Camerer(1995), Payne , andFischhoff(forthcoming ). Johnson(1992), andSlovic, Lichtenstein Problems 3.1 Show that the majority choice of options C and F in problem 3 is dominated by the unpopular combination of options D and E. 3.2 Consider this statistical information about the outcomes of two treatments for lung cancer- surgery and radiation therapy: Surgery: Of 100 people having surgery, 90 live through the postoperative period, 68 are alive at the end of the first year, and 34 are alive at the end of five years. Radiation therapy: Of 100 people having radiation therapy, all live through the treatment, 77 are alive at the end of one year, and 22 are alive at the end of five years. Notice that the statistics above are presentedin terms of survival rates. Now frame the statistical information about the outcomesabove in terms of mortality rates. ( Thus, if 68 of 100 are alive at the end of one year, that means32 die by the end of one year, and so on) ' Do you have an intuition about whether people s preferencebetween the treatments may differ between the survival and mortality frames, and in what direction? Questions for Further Thought 3.1 It is suggestedin the chapterthat althoughthe distinctionbetweennormativeand descriptiveaccountsis obviousin the studyof ethics, it remainscontroversialin the study of decisionmaking.Why do you think that maybe? 3.2 Lossaversionis shownto generatea strongtendencyto maintainthestatusquo. This leadspeopleto maintainthe statusquo it sometimes is calledthe "statusquobias," because . Canyou think of situationsin in situationswhereotherwiseit wouldnot havebeenchosen your life, or in that of someonecloseto you, that mayhaveexhibiteda statusquobias? References . New York: anddecision Arkes, H. R., and K. R. Hammond , eds. (1986). Judgment making . Press CambridgeUniversity . 2nded. 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