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Neuroeconomics – Hype or Hope?
By Daniel Vargas Gomez 

 
You may have perhaps heard of game-theory and behavioral economics, but 
like  many within and outside the field the term neuroeconomics seems to be a  
revolutionary one. Neuroeconomics is, briefly put, an innovative research  
program, which combines findings and modeling tools from economics, 
psychology  and neuroscience to account for human choice behavior. 
Neuroeconomics is, make no mistake about it, a discipline of its own, with 
a  growing number of professionals getting more and more involved in its  
development. Over the last few years, all over the world many leading  
universities have started their own lab or center for neuroeconomics. Now, you  
may 
be asking yourself:  
Why labs?
Labs are fundamental to neuroeconomics because the latter is interested in  
exploring decision making processes from a neurological perspective. 
Subjects’  decisions take place in a strictly controlled environment and are 
later 
 explained as the product of cohesive decision making structures, which 
would  originate in the brain. The buzz about neuroeconomics comes about 
because its  findings challenge the predictions of traditional economic thought 
about  individual behavior. By using algorithms that map environmental 
variables on to  choices, neuroeconomics promises to potentially improve our 
understanding of  “how and why” individual choices deviate from traditional 
economic theory. 
A new way of thinking economic science 
After a first glance, one may get the impression that neuroeconomics is all 
 about the one-way transfer of insights from neuroscience to economics. On 
a  closer look the story behind it is actually more complicated — and 
certainly  more interesting! With neuroeconomics, hot topics from not only 
traditional  economics, but also from other fields are critically assessed and 
strongly  challenged. Theories of human choice based on the mind/body divide, 
as 
well as  deterministic approaches to decision making, will find themselves 
part of the  heated debate that is likely to emerge from this innovative 
field.  Neuroeconomics, furthermore, calls into question the relationship 
between  economics and psychology. Whether psychology will be shoved away by 
neuroscience  is still to be seen, but its established link with economics is 
surely to be  contested. 
As with most emerging disciplines neuroeconomics is not free of criticism.  
Some renowned economists, like Ariel Rubinstein and Glenn Harrison, have 
argued  that neuroeconomics has to pace itself, in order to avoid making big 
conclusions  based on scanty data. These authors healthy dose of skepticism 
is most likely to  encourage, rather than deter enthusiasts of 
neuroeconomics. 
At the moment it is yet to be seen how neuroeconomics can indeed impact the 
 field as a whole, but if it did, it is likely to be loud bang.  
Will financial floor traders, for instance, be reduced to predictable  
decision making machines? Or, could the decision making process of CEO’s  
involved in a merger become less of a black-box of rationality and more of an  
impulsive flow of feeling and gut?
These are, among many others, the type of questions that could make or 
break  neuroeconomics. It remains for now an open question, whether its efforts 
will  indeed represent a hope for the economies of tomorrow, or mere hype 
for the  outsider economists of today. 
Chronicle of Higher Education 
September 24, 2012 
The Marketplace in Your Brain
Neuroscientists have found brain cells that compute value. Why  are 
economists ignoring them?
   
By Josh Fischman

In 2003, amid the coastal greenery of the Winnetu  Oceanside Resort, on 
Martha's Vineyard, a group of about 20 scholars gathered to  kick-start a new 
discipline. They fell, broadly, into two groups:  neuroscientists and 
economists. What they came to talk about was a collaboration  between the two 
fields, which a few researchers had started to call  "neuroeconomics." Insights 
about brain anatomy, combined with economic models of  neurons in action, 
could produce new insights into how people make decisions  about money and 
life. 
A photo taken during one of those sun-dappled days captures the group posed 
 and smiling around a giant chess set on the resort lawn. Pawns were about 
two  feet tall, kings and queens about four feet. Informally, the 
neuroscientists  began to play the black pieces. The economists began to play 
white. 
Today, nearly a decade later, a few black pawns have moved down the board.  
But the white pieces have stayed put. "I would say that neuroeconomics is 
about  90 percent neuroscience and 10 percent economists," says Colin F. 
Camerer, a  professor of behavioral finance and economics at the California 
Institute of  Technology and one of the prime movers in the new field. "We've 
taken a lot of  mathematical models from economics to help describe what we 
see happening in the  brain. But economists have been a lot slower to use any 
of our ideas." 
On Camerer's side, there has been a good deal of action. Neuroeconomics 
came  into being around the turn of this century, growing out of a critique of 
the  basic idea in economics that people are driven by rational attempts to 
maximize  their own happiness. A new breed of behavioral economists had 
noted that in  reality, individual definitions of "maximize" and "happiness" 
seemed to vary.  Neuroeconomists added the idea that, by mapping parts of the 
brain doing the  maximizing and the happiness-defining, they could better 
account for those  actions. 
Through experiments, researchers have shown that when people reject a low,  
unfairly priced offer, a part of the brain associated with disgust kicks 
in, but  that when they view the offer as fair, a brain region linked to 
reasoning seems  more active. Researchers have also tackled the puzzle of 
"overbidding," when  people pay too much for something. An area called the 
striatum, associated with  rewards, is more active when people bid high in an 
auction because they fear  losing an item, but is not as active when they think 
they have a good chance of  winning. So fear of losing may be key to things 
like overvalued stocks. 
Other research has shown that decisions to be very social and involved with 
a  group, rather than hang on the fringes, may be linked to an especially 
active  gene for dopamine, a neurotransmitter—and that the social tendency 
may be  inherited. 
This week hundreds of neuroeconomists will convene for their annual meeting 
 to hear more about this kind of work, a mark of how far the field has come 
since  that tiny gathering on Martha's Vineyard. They have secured millions 
of dollars  in research financing from the National Institutes of Health 
and the National  Science Foundation. Their papers are regularly published in 
leading journals  like Nature and Science. 
Yet economists for the most part have not been moved. Two of them, 
Princeton  University's Faruk Gul and Wolfgang Pesendorfer, argued in a paper 
called 
"The  Case for Mindless Economics" that the discipline has been doing just 
fine by  ignoring brain activity and looking only at results. David K. 
Levine, a  professor of economics at Washington University in St. Louis, puts 
it 
more  starkly: "Look, if you are trying to understand a pilot's ability to 
land a  crippled plane, it's not the patterns of his neuron firing that's 
important.  It's the experience and training that he's had, and the result of 
the landing.  Neuroeconomics hasn't offered anything that can improve on 
those measures." 
This is not exactly the confluence dreamed of by the chess players. One of  
them, Paul W. Glimcher, director of the Center for Neuroeconomics at New 
York  University and author of the standard textbook in the field, wrote in a 
2004  paper published in Science that "economics, psychology, and  
neuroscience are converging today into a single, unified discipline." Today he  
is 
more measured. "We are a very young science," he says, "and we've taken more  
from economics than we've given. I hope in the coming years you'll start to 
see  us give more back." 
And economics does need some help, according to a few practitioners like 
the  eminent Yale University economist Robert J. Shiller, who has argued that 
the  discipline isn't doing just fine. Most economic models didn't predict 
the 2008  housing crash, he pointed out in a speech at last year's Society of 
Neuroscience  meeting. Adding some understanding of how the brain reacts to 
particular kinds  of uncertainties or ambiguities in supply and demand, he 
said, might avoid this  and other costly misfires. 
Camerer, who was trained in economics—he got an M.B.A. and a Ph.D. from the 
 University of Chicago and "didn't know anything about neuroscience until  
2000"—says that assuming that economics can't be improved by knowing how the 
 brain computes value might be the most unsound prediction of all. "That's 
really  kind of a crazy bet," he says. 
Neuroscience and psychology could also do with improvement, and that's 
where  economics comes in, says Elizabeth A. Phelps. "I was initially 
skeptical," says  Phelps, a psychologist who runs a lab at the NYU 
neuroeconomics 
center. "But the  more I saw of the mathematics and its ability to tease apart 
and model  components of complex behavior, the more I realized that 
psychology hadn't been  very good at that. Economics had ways to represent 
theories 
of behavior"—the  brains of people making certain choices will react in 
certain ways—"and this  allowed us to test those theories in a rigorous way." 
Probably the easiest way to understand how  neuroeconomics might contribute 
to all these disciplines is to look at a few  experiments. One recent 
study, published this summer, searched for brain regions  associated with 
altruism and selfishness. Ernst Fehr, a professor of economics  at the 
University 
of Zurich, and one of the few economists working extensively  with 
neuroscientists, asked a group of 30 men and women to split a sum of money  
with 
another person or keep more for themselves. While each person was making  the 
decision, Fehr's team took images of his or her brain in a  
functional-magnetic-resonance-imaging machine. The fMRI scanner reveals fine  
details of brain 
anatomy and, crucially, measures how active brain regions are.  It has 
become a standard tool in this field. 
Those people who were willing to split more money had more neurons in a  
region called the right temporo-parietal junction, an area toward the back of  
the brain that has been linked to empathy. Selfish people had a smaller  
junction. Moreover, the junction became more active as unselfish people 
decided  to give more money away, Fehr and his colleagues found. It is almost 
as 
if the  region worked hardest when people were trying to overcome what might 
be a  natural—and rational—impulse toward selfishness. 
Giving people ultimatums reveals more detail about competition among brain  
regions that do different things. Ultimatum games pit greed against 
justice, and  neuroeconomists like to put people in these dilemmas. Suppose 
your 
friend has  $10, and she can split it with you any way she wants. The catch is 
that if you  reject her offer, you both get nothing. If you are both 
rational, she will offer  you a low amount, maybe even $1. That way she gets to 
keep $9 if you accept,  which you would certainly do because $1 is better than 
nothing. 
Of course, that's usually not what happens. Low offers get rejected; there  
seems to be an impulse to punish stinginess even at the expense of personal 
 gain. Jonathan D. Cohen, a neuroscientist at Princeton, went looking for 
the  seat of that impulse. He asked 19 people to play ultimatum games with 
stingy  offers. Two areas of the brain were active when people considered what 
to do.  One, near the front of the brain, is called the dorsolateral 
prefrontal cortex  and is linked to deliberative thought and calculation. The 
other, deeper in the  brain, is tied to emotions like disgust. It's called the 
insula. The stingier  the offer, the more insula activity Cohen's team saw. 
When people actually  rejected the offer, this activity peaked higher than 
did activity in the  deliberative-thought area. It appears, Cohen says, that 
two areas are competing  in some way, and that negative emotions—or the 
desire for justice—can trump  people's rational desire to get more. 
Phelps, at NYU, has used another kind of competition, bidding in an 
auction,  to cast doubt on a standard economic and psychological explanation 
for 
placing  too much value on things: stocks, houses, or products on late-night  
infomercials. That explanation usually centers on the rush you get from 
success,  or "the joy of winning." The psychologist, whose office sits eight 
stories above  an fMRI machine purchased specifically for neuroeconomics and 
related studies,  collaborated with an NYU economist, Andrew Schotter, to show 
that winning may be  the last thing on people's minds. 
The researchers had 17 people lie in the fMRI and play many rounds of a  
lottery, where winning was out of their control, and join many auctions, in  
which they could control the outcome because they had to bid against a 
partner.  In the auctions, but not the lottery, people showed exaggerated 
activity 
in the  striatum, deep in the brain, which reacts to unpleasant sensations 
as well as  rewards. The more activity, the greater the tendency to overbid. 
This was a bit of a puzzle, Phelps says, so she and her colleagues designed 
a  refinement on the auction. Now people were told they would be penalized 
$15 if  they didn't win. At other times there was no penalty. With the 
consequences of  losing front and center, people consistently bid much higher
than they did in  regular auctions. "It wasn't the joy of winning that pushed 
them," says Phelps.  "It seemed more like fear of losing, because it only 
happened when we told them  that losing at the auction could cost them. It 
wasn't something that standard  economic theory would predict." 
Michael L. Platt, director of the Duke Institute  for Brain Sciences, has 
taken neuroeconomics down to the genetics level. "We  want to see if 
tendencies to make certain decisions are not only the brain  reacting to 
particular 
situations, but also might be inherited," he says. He and  his team have 
collected data on 1,500 to 2,000 adults as they run through  various 
decision-making tasks. The scientists are analyzing the subjects' DNA  for 
variations 
in genes that produce neurotransmitters like dopamine and  serotonin, 
communications agents between many of the brain regions highlighted  in the 
other 
neuroeconomics experiments. 
In monkeys, the genes do seem to make a difference. Platt has been 
monitoring  a colony of macaques that live on an island off the coast of Puerto 
Rico. The  animals are highly social, but some are more so: Regardless of 
social 
status in  the monkey group, some take actions to put themselves at the 
center of things,  while others hang back. The Duke team has found that the 
more social ones have a  different version of the gene controlling serotonin 
function. And their  offspring make the same choices and have the same gene. 
"What we are seeing is  that decision tendencies are heritable," Platt says. 
Those findings are not bulletproof. One persistent critique of 
brain-scanning  experiments is that while scans show activity in a region, it's 
hard to 
tell if  that activity is exciting or inhibiting decision-related nerve 
impulses. So its  exact role in a decision is difficult to pin down. And while 
there are hints  that the scans can predict behavior, that hasn't been shown 
in a robust way. One  study, by Gregory S. Berns, a professor of economics 
at Emory University who was  trained as a psychiatrist, did show that brain 
activity in teenagers listening  to specific music foretold a small increase 
in national sales of particular  albums. The effect was limited but real, 
Dr. Berns notes. 
Still, this early work has attracted a fair amount of money. Making sense 
of  seemingly irrational decisions has implications for understanding why 
people do  things that are bad for them, like taking drugs or overeating. That 
has caught  the attention of the National Institutes of Health, which 
finances 21 current  research projects with "neuroeconomics" in their 
descriptions, to the tune of  $7.6-million. The agency gives out many more 
millions for 
other neurobiology  work related to decision-making: Caltech got $9-million 
this month to establish  a center in this field. The National Science 
Foundation has backed eight  neuroeconomics projects with $3.5-million in 
research 
money. 
Much of the NIH money comes from its institutes for drug addiction, mental  
health, and aging. "Most of us, to get funding, have to sell our ideas 
along  disease lines," says Phelps. "Drug addiction is an obvious area where  
understanding reward-seeking behavior is important, and our work is clearly  
related to that." 
The NIH wants to know more about choices because it's clear that many 
people  understand what's needed to stay healthy but choose not to do it, says 
Lisbeth  Nielsen, chief of the branch of individual and behavioral processes 
at the  National Institute on Aging. "We're very interested in 
decision-making and  aging," she says. "And that's not just health decisions 
but choices 
about  insurance plans or how to manage your retirement savings. Are changes 
in choices  related to the underlying neurophysiology? Or is it the 
environment? You won't  know unless you get input from different sciences, and 
that's what  neuroeconomics brings to us." 
The money is only one measure of how far the field has come. Universities  
such as NYU, Caltech, Duke, and Zurich have added research centers in the 
field  during recent years, and papers regularly come out of a host of other  
institutions........ This fall Maastricht University, in the Netherlands,  
inaugurated the first master's degree specific to the field. And at the end 
of  this month, when the Society for Neuroeconomics holds its annual meeting, 
in  Miami, the group will boast 247 members. It started with 84 members in 
2004.  There will be a few broad-ranging presentations—"A Neuroeconomic 
Theory of  Self-Control"—and many narrow ones—"Ventromedial prefrontal cortex 
and decisions  to sustain delay of gratification"—that delve deeply into the 
details of the  brain. 
"For us it's kind of a sanctuary," says Caltech's Camerer. "There are no  
economists there complaining that this isn't really economics. It's a very  
bottom-up meeting." 
Still, everyone knows those complaints exist. "I do worry that economists  
have kind of dropped out of the discussions," says Phelps. "This might 
become  'decision neuroscience' rather than neuroeconomics." 
An analysis of cross-citations by The Chronicle and the Eigenfactor  
Project, at the University of Washington, shows that the picture isn't all  
bleak. 
While journals in neuroscience and economics were not citing each other  at 
all in 1997, just before the early neuroeconomics papers were published, by 
 2010 they were talking back and forth. 
But an analysis of mainstream economics journals by Clement Levallois, a  
researcher at Erasmus University Rotterdam, in the Netherlands, is more  
pessimistic. He found about 200 articles, published over a recent 10-year  
period, that mentioned concepts in neuroscience or biology. But the terms they  
focused on were concepts like "genetics," rarely anything strongly tied to  
neuroeconomics, like specific parts of neuroanatomy that have been linked to  
decision-making, or words like "dopamine." 
The reluctance isn't surprising, says Michael Woodford, a noted monetary  
theorist and professor of economics at Columbia University. "Economics is a  
field where there is a core of ideas developed during the 19th and 20th  
centuries that people agree are important," he says. "If you want to argue that 
 something should be part of that core, the bar is going to be higher than 
in  many other fields." For neuroeconomics, he adds, "that's a promise that 
has yet  to be delivered on." 
That's from someone who is beginning to use neuroeconomics in his own  
research. Woodford studies how people rank alternatives when making choices. So 
 
he has become very interested in perception—what information the brain gets 
 about those choices. "That's the first step, happening before a decision 
is  made," he says. "I'm trying to build mathematics into models that 
accounts for  variance in people's perceptions." He's actually working on ways 
that 
 backgrounds affect perceptions of brightness, but the principle could 
apply to  how some people focus on the nicely sized bedrooms of a house that's 
for sale,  for instance, while others fixate on its tiny yard. "Standard 
economic theory  treats these things as anomalies, and we shrug it off. But 
what 
if we treated  these as phenomena that help make sense of these choices?" 
The only way to find out, he says, is to do it. And if it works, if a model 
 of a mental process improves an economist's ability to predict what people 
will  do, "then I think neuroeconomics could be very big." 

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