Posts Tagged ‘neuroeconomics’

Paul Glimcher co-created the field of neuroeconomics a decade ago. After a first book in 2003 which imagined a  research program for neuroeconomics, his just published second book delivers the first results. Is neuroeconomics now a reality? What questions does it raise? I review the book here: http://seinecle.110mb.com/html/neuroeconomics.php (first item of the list).

PS: In the review, I did not comment on the book’s dust jacket. As can be seen above, it conveys a very gloomy impression of the topic of neuroeconomics – for a book which actually promotes it! I would be curious to know how this very wrong choice of an illustration came to be made.


Read Full Post »

NB: I also posted this blog entry earlier today on http://historyofeconomics.wordpress.com/, with marginal modifications.

I am currently reading a fascinating book, “The Cognitive Revolution in Psychology” by Bernard J. Baars (1986).

With a long introduction, it provides informative material for an outsider like me on how the cognitive turn played out in psychology, and presents a clear historical background getting back to Wundt and the early experimentalists, and the origins of the behaviorist revolution. Then it is followed by a series of interviews of participants in the cognitive revolution: from the opponents (Skinner and others) to the enthusiasts, and the followers.

On the substance, I was stroke by how much behaviorism, which is the methodological orthodoxy that was overthrown by cognitive psychology, shares features with today’s textbook economics. Both share the status of a well-guarded orthodoxy: in their interviews, psychologists remember that behaviorism in psychology was exclusive, displaying a “nothing but” attitude: variables should be related to nothing but observable behavior, which disqualified the discussion of concepts like “memory” or “representations” ! Those words were taboo in psychology at least until the mid-1950s.  Looking back, psychologists consider that the methodological rigorousness of behaviorism, which insisted that each concept be operationally defined and testable, had the effect to strip psychology from its substance: the study of cognition, consciousness,  emotions and rational behavior were discouraged, virtually banned indeed, because these concepts did not readily translate into tightly defined behavioral variables that could be observed in an experimental setting.

I could not help but be reminded of a similar taboo in today’s economics, where the formation of preferences, or how the process of choice unfolds, is declared “out of bound” right from the introductory chapters in microeconomic textbooks: only an individual’s observable behavior, as it is instantiated in the outcome of the choice it performs, is to be taken into account.

Reading this book, neuroeconomists will also be strongly reminded of Princeton economists Gul and Pesendofer’ essay published in 2008, in which they defend a “nothing but” approach to the revealed preference approach – dismissing any kind of evidence from “inside the head”, and advocating bluntly a “mindless economics”. Behaviorists (or operationalists…) of the purest ink!

The cognitive revolution in psychology crystallized around the mid-1950s, early 1960s. Forty years later, nothing of that sort happened in economics, it seems to me. With behavioral economics and neuroeconomics, maybe that economics will jump directly to the next train: the neurocognitive turn. Or will it miss that one also?

Post-script: on an approaching topic, Wade Hands has a paper forthcoming in the CJE, which is a nice read.

Read Full Post »

Opinions about neuroeconomics vary enormously – to begin with, there is little agreement about what even *counts* as neuroeconomics.

In my historical study of neuroeconomics,  I am confronted to this difficulty right from the first step. Before even analyzing it, what is neuroeconomics, the field that I am studying? There is yet no journal of neuroeconomics which would map and delineate the topic, and there is of course no single parent field from which this sub-field can be traced from.

Lost, but with a map

Mapping neuroeconomics

The Society for Neuroeconomics is a useful rallying point where neuroeconomists can be found, but there is an obvious North American bias. More, an unknown proportion of scientists attending this conference would be reluctant to be labeled neuroeconomists, if I refer to the interviews I conducted there. So?

There is always the possibility to ask “the experts”, as it is customary to do in scientometrics. That is, I would not placate any arbitrary definition of neuroeconomics on the field, but would ask some renowned neuroeconomists what they would consider classic papers in neuroeconomics, or who do they consider to be the leading figures in neuroeconomics, and then start from there.

The problem with this approach is that leading neuroeconomists are truly extremely busy people, so the sample of experts that I could tap from would be very low, and hence surely not representative of all the currents represented in neuroeconomics.

There are many other ways to define a field, all with their particular drawbacks. One is to refer to the indexing of papers performed by Thomson Reuters‘ ISI Web of Knowledge, a database which records and indexes virtually all peer-reviewed journals and their papers on the planet since 1988. If a paper is indexed with the keyword “neuroeconomics”, then it can count as neuroeconomics. Authors who published a certain number of articles indexed with the keyword “neuroeconomics” can be considered to be neuroeconomists. However, this approach is equivalent to delegating the task of defining neuroeconomics to the employees in charge of indexing the papers at Thomson Reuters: given the immensity of their task, probably not the best experts in neuroeconomics.

I am in the process of finding my own (and hopefully, consensual) solution to this arduous problem of mapping a field which has still not a stabilized identity. But from experience, it is an issue where everybody can quickly come up with their preferred procedure. So, what do you think? What would be your procedure to arrive at a definition of *who is a neuroeconomist*, and *what is a paper in neuroeconomics*?

Read Full Post »

That is big, really big.

The free-rider problem is simple. It describes those situations when a group of individuals would benefit from a common action, but each individual separately would prefer not to make any effort to make this action happen.

Like: as a group, we would like to have an environmental policy to stop global warming, but when asked how much tax I personally would be ready to pay to implement this policy, I refuse to declare that I’d be willing to pay much. Even if the amount that I would pay would be more than compensated by the benefits of an environmental policy! Simply because hey, if the environmental policy is decided by others and payed by others, once implemented it will also benefit me, so why would I bother paying for it? It is much easier to let others pay for it, and then, I’ll benefit from it anyway!


Another free rider

It is the eternal problem of the free rider: “I would like to have the benefits of the collective action, but I would prefer if the costs were payed by my neighbor.” The problem is, of course, that if everybody thinks like that, then everybody states that they would not pay much, and the budget for the collective action is never gathered. That’s too bad, because the collective good would have enhanced everybody’s welfare!

It has huge implications for tax policy, or any issue where a collective action would be required. And the difficulty faced has always been that when you ask people “how much would you be ready to pay for this collective good”, they tend to understate what they are really willing to pay – always hoping that the collective good will be build anyhow – but payed by their neighbors.

What if we could “read” in people’s mind what they would really like to pay for a collective good? This would allow to know how much people would each be ready to pay for the collective action. The collective action would then be undertaken, only if its benefits would be superior to the sum of the payments that each individual declared to be ready to make.

This is the experiment conducted by a team of CalTech neuroeconomists, just published in Science. They gathered groups of subjects, and scanned their brain while they stated the amount they were willing to pay for a given collective investment.

To be precise, this what not a simple lie-detector mechanism: the accuracy of the scan to detect the “honesty” of your choice was just 56%. But it is enough to act as a threat to participants: they will be punished with heavy taxes if they are found to be willing to pay very little for an investment which will repay them much. It acts as an incentive for participants to reveal their true preference each time they are asked about a potential collective investment!

Ian Krajbich, lead author of the study

Ian Krajbich, lead author of the study

The results of this “Neurally Informed Mechanism” as they call it are astounding: the total welfare achieved by this experiment is 93% of the ideal case, which means that free-riding has almost completely disappeared! This is a remarkable result, given that traditional experimental settings do not score better than 23%.

So, the free-rider problem, or the problem of collective action finally solved? Neuroeconomics made an interesting step in this direction. Huge!

The study raises some questions though. For example, the procedure followed shows that the participants were convinced with lengthy, technical arguments that the “not free-riding” strategy was the most advantageous one.  Those arguments were true, and the experimenters deduce that if the participants did not free-ride, it is because they understood it was in their best interest. But one can also object that they did not free-ride simply because they had been brain-washed about not free-riding: they simply trusted the experimenter and played in the fashion that was strongly suggested. If that is the case, then the 93% result is not so amazing.

This doubt is even greater when one wonders about the actual role played by the fMRI scan: crucial or not? At 56% of free-riding detection, just above fifty-fifty, one doubts whether the participants refused to free-ride because the threat of the scan detection made it the best strategy to play, or simply because they were impressed by this big machine and the intense strategical training they received from the researchers (see the supplement online material of the article, esp. the section “strategy” on pp. 42-45, which shows how much the participants were lectured about NOT free-riding. )

More about it? Antonio Rangel, an economist in the CalTech team reports on the Science article in an interviewed by James Hugues, from the Institute for Ethics and Emerging Technologies. Click here for the interview.

Read Full Post »

A nice summary with Colin Camerer, Ralph Adolphs, etc.

Thanks to Investing Pinoy for the link.

Read Full Post »

Sin suits me - Roy Booth, 1935

Sin suits me - Roy Booth, 1935

Writing the title of this post, I feel like I indulge in a delicious sin. Indeed, if there is one taboo in today’s respectable history of science, it is certainly the search for precursors, originators, “first scientist to come up with a theory”, etc. That might sound strange to you, but there are good reasons for that taboo. One of them is that the search for precursors tends to reify ideas, a bit as if ideas were objects that were invented and patented once and for all (whereas one realizes soon that they keep changing in meaning, hence there is no historical origin to a “single idea”). Another reason is that by playing the game of “who got this idea first” seriously, you would almost invariably end up with Aristotle or Adam Smith if you are an economist, and that is boring.

Anyway, I find it fun to transgress those very serious codes, and ask: who got first the idea for neuroeconomics?

Passions with Reason (Frank, 1988)

Passions with Reason (Frank, 1988)

I just finished reading Robert Frank’s Passions within Reason, a book he published in 1988. This book could be said to be the first in neuroeconomics (Roman trumpet victory sounds in the background). Robert Frank is an economist who, as far as I can tell, is now also writing a lot in the press (NYT column, etc.), and has become an intellectual figure, like a minor Paul Krugman maybe.

So, why is Passions within Reason our winner? This book makes a perfect transition between two periods of the relationship between economics and biology. The period when Darwinian evolution was the hot topic (up to the eighties), and the period we live in now where the brain is the explanation for everything biological in economics. Yes, the two topics are clearly distinct. Before the nineties, you hardly find a discussion in economics about the neurocognitive dimension of economic behavior. Conversely, in today’s neuroeconomics the discussion of the evolutionary dimension of economic behavior is tucked away in a few pages of books in neuroeconomics (just check Gazzaniga’s textbook on Cognitive Neuroscience, or the textbook in neuroeconomics by Glimcher and al., both from 2008).

And between those two periods, you have Frank’s book, which meshes the two: evolutionary explanations à la Jack Hirshleifer / Robert Trivers / Edward Wilson, and a speculative discussion of the decision-making system where “pure rationality” and “emotions” are both inputs in the brain systems which ultimately account for the behavior of the individual.

Robert H. Frank

Robert H. Frank

A real precursor then, “prescient” that the brain was the next big thing, and “unjustly ignored” until now, as it befits to a genuine pioneer. Frank just lacked an essential piece of technology to become the Adam Smith of neuroeconomics: the fMRI brain scans (note: precursors always lack something, if they had everything they would be “new Adam Smithes”). The fMRI  began to be used in social science precisely in the late 80s, and neuroeconomics as we know it today appeared with it.

Soon, I will examine another candidate for the title of best precursor to neuroeconomics: George Ainslie and his picoeconomics.

Read Full Post »

Paul Farrell, a long time ago

Paul Farrell, a long time ago

Reading a column by someone called Paul B. Farrell on Market Watch, a website related to the Wall Street Journal news group, I realized that what neuroeconomics is to me did not correspond to Farrell’s neuroeconomics. At all.

Farrell is mad at neuroeconomists who “promise that if investors, taxpayers and voters simply follow the advice of neuroeconomists, they’ll get rich”. Uh? Later in his column, Farrell gets frantic:

And they [neuroeconomists] are always one step ahead of you and whatever you think you get from their neuroeconomics books. They really are working for Wall Street insiders. What they’re doing is similar to DNA mapping, except the neuroeconomists use MRIs to map your irrational behavioral patterns, then, like a CIA intelligence team secretly monitoring the enemy, their quants develop algorithms that help Wall Street target the little guy with new “financial weapons of mass destruction” that manipulate financial markets.

I don’t know for you, but I don’t follow that too well. As an observer of neuroeconomics, what am I supposed to do with this kind of strange material? I think it educates me on two scores.

First, I have to get used to the rhetoric of online journalism, much more than I am now. Because it really seems that the hysterical tone of this column participates to its dissemination (the blog post I am currently writing is an evidence of it). Hence,  the column by Farrell is not a minor piece of primary material on neuroeconomics. The mere fact that his opinion is shouted is bound to give it some weight. Sad maybe, but the cold and impartial historian of neuroeconomics shall not be moved by that!  😉

Second, this column is a plea for including “pop neuroeconomics” in the scope of the study of the field. The frontiers are just too blurred, and the exchanges between “academic neuroeconomics” (practised in universities) and pop neuroeconomics (practised in consulting firms and published in self help books) are too significant to ignore. How significant exactly? This column gives a clue of it, but I should be much more precise when I will have read extensively in this literature in “neuroeconomics for brainy traders” and “neurofinance: get rich in three days”. Wish me luck.

The Millionaire Code

The Millionaire Code

Coda: a search on internet turns out this book cover. The vociferations of Farrell against the false promises that neuroeconomics would make to small traders appear in a much better perspective, now!

Read Full Post »

Once again, what is neuroeconomics? I would argue that 2 coming symposia organized in The Netherlands are about neuroeconomics. At least two prominent figures in neuroeconomics present talks – Allen Sanfey from the University of Arizona, and Scott Huettel from Duke University. The topic of the symposium is about decisions, reward, punishment, fairness, risk taking, … which are the bread and butter of neuroeconomics.

The Invisible Man

Yet, “neuroeconomics” is nowhere to be seen in the program. So I would argue that this is brand management in action here: depending on the audience, the place, and the strategic goal pursued in a given communication exercise, the displayed identity is molded with care. Now, the question is: what makes the brand “neuroeconomics” suitable in some circumstances, and undesirable in others? What are the reasons that make of neuroeconomics a brand to promote, or to keep invisible?

Program of the 2 symposia in decision-making (aka neuroeconomics):

(20-22 April 2009, Nijmegen, Netherlands)

Read Full Post »

mere voodoo?

Statistics in fMRI studies: mere voodoo?

“Do you think the media are partly responsible for sensationalizing the findings of social neuroscience? And how can the media do a better job of reporting on brain scanning data?

Ed Vul: In general, I would advocate a bit more skepticism on the part of reporters, with respect to all scientific findings. I think reporters generally try to write up conclusions in slightly grander terms than the scientists used originally. What they may not realize is that scientists themselves have often oversold the implications of their findings a bit. You put these things together and you can end up with really overblown coverage. (On the other hand, perhaps if this advice were followed, science columns would end up dull and unread, so perhaps I should withdraw the suggestion.).”

This is from an interview of Ed Vul, a graduate student with an inquisitive mind.

Ed Vul

Ed Vul

He has an article in press which caused big waves in the small community of social neuroscientists and neuroeconomists. In this paper, he makes a strong critique of the statistical methods used to correlate a behavioral trait with a particular brain region – which is the bread and butter of fMRI studies. For the interested readers, here is the exchange in chronological order:

Ed Vul and al., article in press: Voodoo Correlations in Social Neuroscience

Original Rebuttal by incriminated scientists (including Tania Singer, a neuroeconomist at Zurich), new version of their rebuttal – and they work on an article-length version as well.

Rejoinder by Ed Vul (to the first version of the rebuttal)

Interview of Ed Vul for Scientific American

My bet on the final issue of this debate, for what it is worth? From the quick look I had on the papers, it seems that “regression to the mean” is a central issue in this statistical debate. And ah! if there is one topic where nobody agrees on (among and between statisticians, biologists, and economists), this is this one.* So in my humble opinion, the debate is ripe for taking a turn that is very common in these cases: “It always ends in statistics“. Participants will retort with increasingly sophisticated and intractable analytical refinements, obfuscating the core issue that draw a large audience to the debate in the first place.

* See an article by Stephen Stigler on the topic

Read Full Post »

This is not everyday that a research group gets the attention of international media. That was the case a few days ago with a study published by my colleagues at the Erasmus Centre for Neuroeconomics, on social conformity, ie peer-pressure: they got CNN coverage!

Vasily Klucharev, lead author on the study of social conformity

Vasily Klucharev, lead author on the study of social conformity

You can check it out there: http://edition.cnn.com/2009/HEALTH/01/15/social.conformity.brain/#cnnSTCVideo

Or for a popular-science version, click there: http://www.sciencedaily.com/releases/2009/01/090114124109.htm

And the original article:


What accounts for such a huge reaction from the media? I tend to think that the seriousness of brain research and the sexyness of probing social issues in relation to our daily lives makes it a very efficient cocktail. It secures both the publication of the study in a top journal with a lot of exposure (its impact factor has two digits…!!), and the intelligibility of the research question to a wider audience, which makes it easy for journalists to “translate” the results into broad moral lessons. Note, by the way, how the journalists on CNN conclude the story by denying completely the results suggested by the study!

Read Full Post »

Older Posts »