By Mark Whitehouse
Wall Street Journal, 30 November 2010
Physicist Doyne Farmer thinks we should analyze the economy the way we do epidemics and traffic.
Psychoanalyst David Tuckett believes the key to markets' gyrations can be found in the works of Sigmund Freud.
Economist Roman Frydman thinks we can never forecast the economy with any accuracy.
Disparate as their ideas may seem, all three are grappling with a riddle that they hope will catalyze a revolution in economics: How can we understand a world that has proven far more complex than the most advanced economic models assumed?
The question is far from academic. For decades, most economists, including the world's most powerful central bankers, have supposed that people are rational enough, and the working of markets smooth enough, that the whole economy can be reduced to a handful of equations. They assemble the equations into mathematical models that attempt to mimic the behavior of the economy. From Washington to Frankfurt to Tokyo, the models inform crucial decisions about everything from the right level of interest rates to how to regulate banks.
In the wake of a financial crisis and punishing recession that the models failed to capture, a growing number of economists are beginning to question the intellectual foundations on which the models are built. Researchers, some of whom spent years on the academic margins, are offering up a barrage of ideas that they hope could form the building blocks of a new paradigm.
In the wake of a financial crisis and punishing recession that the models failed to capture, a growing number of economists are beginning to question the intellectual foundations on which the models are built. Researchers, some of whom spent years on the academic margins, are offering up a barrage of ideas that they hope could form the building blocks of a new paradigm.
"We're in the 'let a thousand flowers bloom' stage," says Robert Johnson, president of the Institute for New Economic Thinking, launched last year with $50 million from financier George Soros, a big donor to liberal causes who has long been a vocal critic of mainstream economics. The institute so far has approved funding for more than 27 projects, including efforts by Messrs. Farmer and Tuckett aimed at developing new ways to model the economy.
Some of academia's most authoritative figures say the new ideas are out of the mainstream for a good reason: They're still very far from producing a model that demonstrably improves on the status quo.
"I guess I'll wait until I see these models and what they can and cannot do," says Robert Lucas, an economist at the University of Chicago who won the Nobel Prize for his work on "rational expectations," the concept at the very heart of modern orthodoxy.
New York University's Mark Gertler, who with now-Federal Reserve Chairman Ben Bernanke did ground-breaking work in the 1980s on how financial troubles can trip up the economy, says economists already have many of the tools they need to fix the current models.
"It strikes me as not productive to say that all we have done is a complete waste," he says. "The profession is extremely competitive. If you have a better idea, it's going to win out."
Today's models emerged from a revolution of their own. In the 1970s, economists were struggling to figure out how policy moves, such as raising taxes or cutting interest rates, could change how people behave. They were also eager to subject their own reasoning to the unforgiving judge of mathematical logic.
So they populated their models with rational people who can calculate the value of various possible moves and choose the optimal path. A person deciding whether to buy a car, for example, would take into account the potential return on investing the money, the probability that car prices will rise, and the chances that an increase in tax rates will cut into her disposable income.
By translating peoples' preferences into equations, and finding the point at which they meet those of firms and other players, the models forecast an exact trajectory for the economy. That feature makes them very attractive to economists, who can plug in a change in interest rates and see precisely how the move might affect an entire country's output for the next few years.
The problem, says Mr. Farmer, is that the models bear too little relation to reality. People aren't quite as rational as models assume, he says. Advocates of traditional economics acknowledge that not all decisions are driven by pure reason.
Mr. Farmer sees a perhaps greater flaw in the models' mathematical structure. A typical "dynamic stochastic general equilibrium" model—so called for its efforts to incorporate time and random change—consists of anywhere from a few to dozens of interlinked equations, which must agree before the model can spit out a solution. If the equations get too complex, or if there are too many elements, the models have a hard time finding the point at which all the players' preferences meet.
To keep things simple, economists leave out large chunks of reality. Before the crisis, most models didn't have banks, defaults or capital markets, a fact that proved problematic when the financial crisis hit. They tend to include only households, firms, central banks and the government. They also commonly use a single equation to represent each player, impairing the models' ability to explain the unexpected outcomes that can emerge when millions of different people interact.
"You are limited by what you can solve," says Mr. Farmer. "It puts the whole enterprise in a straitjacket."
His proposal: Create a richly complex, computer-based simulation of the economy like those scientists use to model weather patterns, epidemics and traffic. Given enough computing power, such "agent-based" models can include millions of individual players, who don't have to be rational or agree with one another. Instead of equations that must be solved, the players have open-ended rules of behavior, such as, "If I've just turned 55 and I'm feeling blue, I'll buy a sports car."
A leading expert on complex systems at the Santa Fe Institute, a nonprofit think tank, the 58-year-old Mr.Farmer has spent much of his life trying to figure out how to predict the future.
In the 1970s, he and a group of graduate students from the University of California at Santa Cruz managed to outsmart Las Vegas casinos, developing software and portable computers that clocked the velocity of the ball and rotor on roulette wheels. Later, he made a small fortune as a partner in Prediction Company, which applied some of what he learned at the roulette table to financial markets and was ultimately sold to the Swiss bank UBS AG.
Some policy makers believe the agent-based approach to modeling the economy has promise. "I think the whole profession is much more open to these new approaches than it has been at any time in the past 20 years," says Simon Potter, director of economic research at the Federal Reserve Bank of New York.
The tough part is coming up with rules that bear some relation to reality. To that end, Mr. Farmer and three economists—Robert Axtell of George Mason University, John Geanakoplos of Yale University and Peter Howitt of Brown University—are hoping to involve dozens of experts on the behavior of consumers, investors and firms in a massive model-building project. Inputs could include everything from historical data to interviews.
"It's going to be a very hard job that will require a lot of time and persistence," says Mr. Farmer. He estimates that a proper agent-based model could take many years to build, but would cost a tiny fraction of the $1 billion a year the government spends on the National Weather Service. "This is not something you can do in your kitchen."
Writing better rules for human behavior will require researchers to dig deeper into the human psyche, says Mr. Tuckett, a professor at University College London. Specifically, he's looking into how unconscious needs and fears can cause big swings in financial markets.
The field of economics has already borrowed from psychology to help explain the sometimes irrational behavior of people and markets. Psychologist Daniel Kahneman shared a Nobel Prize in 2002 for his work identifying the ways in which humans systematically overestimate or underestimate risk.
Mr. Tuckett goes one leap further. Extensive interviews with money managers have led him to posit that because certain financial instruments are so volatile and hard to value, they trigger humans' tendency to fantasize. Borrowing language from Sigmund Freud, he calls such financial assets "phantastic objects," which people see alternately as capable of fulfilling their dreams of wealth and power or utterly worthless and repulsive.
Economic models, argues Mr. Tuckett, need to account for the way peoples' behavior changes with the psychological context. When they're in fantasy mode, they'll place astronomical values on anything from Dutch tulips to dot-com stocks to complex mortgage securities. When they realize the folly of their ways, they'll focus only on the flaws. He hopes to create a survey of investors' state of mind, which could be used as an input for an agent-based model such as the one Mr. Farmer is developing.
The 63-year-old psychoanalyst, who is working with Manchester Business School finance professor Richard Taffler to develop a new field of "emotional finance," says it could be a long time before his ideas reach the mainstream.
"Economists have been terrified of psychology," says Mr. Tuckett. "They believe that if they take it on board, they'll have to go interviewing people and will never be able to make generalizations."
Mr. Frydman, a professor at New York University, is accustomed to the role of an outsider. The 62-year-old economist says that even as a graduate student in the 1970s at Columbia University, he didn't buy into the concept of rational expectations—a stance that has left him to pursue a career on the academic margins for more than three decades.
The main flaw in the dominant models, he says, is the same feature that makes them so attractive to policy makers: Their ability to make precise predictions. To generate their predictions, the models assume that people, firms and other players always make decisions in the same way. The players must also share the same beliefs about the exact probabilities of various outcomes, such as a rise in car prices or tax rates.
"It's like socialist planning," says Mr. Frydman. "If we really knew that much, we could have Communism and God knows what." Capitalism works better than other systems, he says, because it lets people disagree about the future and profit from their insights—rational behavior that models don't accommodate.
Mr. Frydman doesn't offer a better way to make predictions. Rather, he believes economists and policy makers must come to terms with the limits of their knowledge.
Consider the housing market. If prices far exceed historical averages, as they did in 2006, we can know there's an elevated risk of a crash. What we can't know, says Mr. Frydman, is when that crash will occur, how exactly consumers will respond, or how much a given decrease in interest rates might help.
In Mr. Frydman's view, the best that policy makers can do is try to limit extreme swings. A central bank might, for example, set indicative parameters for the prices of assets such as stocks, bonds and houses. If prices exceed those parameters, potential buyers will be forewarned that they're taking on added risk of a big loss—and might even think twice about doing so.
Developed with economist Michael Goldberg of the University of New Hampshire, Mr. Frydman's concept of "imperfect knowledge economics" has some influential admirers, including Nobel Prize-winning economist Edmund Phelps of Columbia University.
The ideas of Messrs. Farmer, Tuckett and Frydman are just a few of the myriad being hatched around the globe.
Many economists think the next big idea will more likely come from the ranks of younger Ph.D candidates, who are producing reams of work examining the financial crisis. Established academics—such as Mr. Gertler, Nobuhiro Kiyotaki of Princeton, Marcus Brunnermeier of Princeton, Michael Woodford of Columbia and Robert Hall of Stanford—are making progress on including banks, financial markets and even a bit of irrationality in traditional models.
Mr. Farmer says he thinks the traditional models will always be useful for certain types of analysis, but isn't optimistic they'll provide the whole solution. "Economic forecasts have never been very good, and it's not clear that if we stick with the methods we're pursuing we'll do any better," he says. "We need to try something new."
J. Doyne Farmer
Mr. Farmer, a leading expert in complex systems at the Santa Fe Institute, wants to develop a computer-based simulation of the economy like those scientists use to model weather patterns, epidemics and traffic. He thinks such simulations could be more useful than the mathematical economic-forecasting models currently used by the world's most powerful central banks. The 58-year-old Mr. Farmer has long been interested in predicting the future. Back in the 1970s, he and a group of graduate students from the University of California at Santa Cruz devised a way to beat roulette using wearable computers that clocked the velocity of the balls and rotors. He later made a small fortune as a partner in Prediction Company, which applied some of what he learned at the roulette table to financial markets.
Roman Frydman
Mr. Frydman, an economics professor at New York University, believes exact economic forecasts are futile. Under his concept of "Imperfect Knowledge Economics," which he has developed together with Michael Goldberg of the University of New Hampshire, policy makers must recognize the limits of their knowledge. They can, for example, know that if stock valuations far exceed historical averages, there's an elevated risk of a crash. But they can't know exactly how much a given decrease in interest rates might help if and when the crash happens. He believes the best policy makers can do is try to limit extreme swings in financial markets and the economy. They can, for example, step in to curb credit in boom times, or set indicative parameters for the prices of assets such as stocks, bonds or houses.
David Tuckett
Mr. Tuckett, a psychoanalyst at University College London, believes Freudian analysis may hold the key to understanding the gyrations of financial markets. Together with Richard Taffler of Manchester Business School, he is trying to develop a new field of "emotional finance," which studies how investors' behavior changes with their state of mind. Borrowing language from Sigmund Freud, he defines certain financial assets as "phantastic objects," which people see alternately as capable of fulfilling their dreams of wealth and power or utterly worthless and repulsive. He hopes to create a survey of investors' state of mind that economists could use to improve their forecasts.
Three years ago, when the bidding to host the World Cups of 2018 and 2022 was just getting going, a lobbyist explained to me how the decisions would be made. Over lunch at the International Football Arena in Zurich – a cosy annual gathering of the game’s power brokers – he led me on to the terrace for a quiet word. There, he emphasised that what “the world” thought about the various bidding countries wouldn’t matter much. Instead, the only voters were “24 old men”. He meant the members of Fifa’s executive committee (Exco), who will choose the hosts for 2018 and 2022 in Zurich this Thursday. The lobbyist and his partner, he added, “know those 24 men better than anyone. We know their strengths, we know their weaknesses.”
That lobbyist has since switched to work for a different bidding country. And the number of old men has dropped to 22, after Fifa, the global football authority, suspended two Exco members. One, Amos Adamu of Nigeria, had allegedly asked undercover newspaper reporters for money in exchange for his vote, and another, Tahiti’s Reynald Temarii, was accused of breaching Fifa’s rules on loyalty and confidentiality in the same sting. In short, someone found their weaknesses. Both men have said they will appeal.
Yet the lobbyist’s point stands. The campaign to host these World Cups is much like a conclave of cardinals choosing a pope. It’s a campaign waged mostly behind firmly closed doors, and the very secrecy of the process, and the desperation of the nine bidders to win, invites corruption. Despite the secrecy, we do know many of the considerations that will sway these 22 men. That allows us to guess which two bidders will be dancing on the streets of Zurich come December 2.
Fifa plans to choose a European host for 2018, and a non-European one for 2022. One of Exco’s considerations, obviously, is the quality of bids. The 22 men will want to know which hosts can stage a competent World Cup. However, South Africa’s World Cup this year put that issue to bed somewhat. The developing country did a fine job: nice stadiums, pretty good infrastructure, and Fifa doesn’t care about the white elephants now rotting in the sun. If South Africa could do it, the Exco members will reason, then every bidder this time probably could too. The only bidder that emerged from Fifa’s evaluation reports looking bruised was Qatar. The tiny desert state, the report suggested, has neither the climate nor the space for the perfect World Cup. But the American and Dutch-Belgian bids also suffered for not giving Fifa enough government guarantees. Fifa likes to be granted the right to do what it likes in a host country.
However, the quality of bid is just one consideration among many. Fifa also likes using World Cups to open new markets, to fill in the “white spots” on football’s map. This is where Russia looks good. It has less infrastructure in place than any other European bidder, but unlike its rivals it is an emerging football market. For 2022, Qatar, Australia and the US can make the same claim. Japan and South Korea might have too, except that they co-hosted a World Cup just eight years ago, and so they hardly look “new”. When bidders and lobbyists gossip in hotel bars, they usually dismiss the Japanese and Korean bids (as well as the Dutch-Belgian one for 2018) as near no-hopers.
RED CARDS
Amos Adamu
The former head of the Nigerian FA, Adamu is alleged to have accepted an offer of £500,000 in return for his vote. His suitors turned out to be Sunday Times reporters. Adamu plans to appeal against his suspension
Reynald Temarii
Oceania lost its voice on Exco when Temarii was caught in the same sting as Adamu. Temarii claims Blatter has exonerated him of any wrongdoing, and says he now plans to sue the Sunday Times for defamation
The great new football market, of course, is China. The country isn’t bidding now, but Sepp Blatter, Fifa’s president, is keen for it to host a World Cup, and that fact could shape the vote for 2022. Simply put: if an Asian country gets 2022, then China might have to wait until 2034 before the World Cup could return to Asia. That could induce Fifa to give 2022 to the US, so that China could have 2026. In July, Wei Di, head of China’s Football Association, duly said: “We are considering 2026.” That angered the Asian bidders for 2022, and Chinese officials appear to have reassured them behind closed doors that China didn’t really want 2026. Significantly though, China hasn’t climbed down in public. Quite likely, Wei Di’s remarks were a signal to Fifa to bear China in mind for 2026. If so, and if Exco listens, it’s good news for the US.Lord Triesman
The head of the English FA quit in May, after the Mail on Sunday claimed he told a former aide that Spain would end its bid to host the 2018 World Cup if rival bidder Russia helped Spain to bribe referees at this year’s tournament
Only the purest of Exco members – Michel Platini, for instance – will vote strictly on quality of bid and the prospect of new markets. Others will be swayed by more political, but equally legitimate, concerns. Most Exco members want something for their votes: often, a vote for their own country. Mohamed bin Hammam, the Qatari Exco member, put this frankly at last month’s Leaders in Football conference in London. “I will be naturally looking to the interests of Qatar,” he said. “All the bidders are telling me, ‘Okay, if you vote for me I will vote for you.’ That must not be surprising to anybody.” He admitted he wouldn’t necessarily vote for the “best” bid, but one that served Qatar’s interests.
The voting process – choosing two hosts on one day – practically invites deal-making between voters. Explicit deals are illegal – “You vote for me for 2018, and I’ll vote for you for 2022” – but tacit ones will happen.
That points to another consideration for many Exco members: friendship. “Friend” is their word for “longstanding ally”. The three South American voters will surely support their “friend” Spain, for instance. By contrast, the Dutch-Belgians and the English are short of “friends” in football.
Lobbying can win you friends. Russia has the best lobbyist of any bid: Premier Vladimir Putin. He has been buttonholing some very powerful people, inside and beyond Fifa, to talk about 2018. Putin helped clinch the winter Olympics of 2014 for the Russian city Sochi, and will attempt the same in Zurich next week.
All these considerations might sound tacky, but they are reasonably above-board. However, more venal considerations matter too. As the lobbyist told me, many Exco members are old: some won’t be alive in 2022, and may not care much whether the tournament is a roaring success or not, while others may see this as their last chance to extract big favours. Now the world is courting them. From December 3 they will be nonentities. They want something out of this vote.
That something might simply be a nice trip. Many countries have offered Exco members very comfortable visits to inspect their facilities. That is quite legitimate, but a five-star trip can be a voting incentive in itself. Other Exco members want something for their football federations. That’s why some bidding countries have sent their national teams to play friendlies in improbable places – places that happen to have Exco members. One Exco voter asked a bidding country to pay for a team coach for his national side. Again, a perfectly legal inducement: it’s called “promoting football development”.
As neither bidders nor Exco members like to say much about these sorts of favours, we are left to guess how common they are. Interestingly, when a British Sunday newspaper pretended to offer both Temarii and Adamu money for their votes, both men mentioned having received offers from other bidders – in Temarii’s case, worth several million dollars. The scandal spooked Fifa and all the bidders. Claudio Sulser, head of Fifa’s ethics committee, says: “The damage to Fifa is great.” Recently, bidders have been so scared of getting caught in new scandals that hardly anyone has dared say anything in public. The bid leaders have become diplomats rather than salesmen. That has made the race yet more secretive.
Secrecy will shroud even the day itself. The 22 men will hand their votes in sealed envelopes to consultants from KPMG. After each round, the candidates with the fewest votes will be eliminated, until one country gets a majority. Afterwards, all Exco members will be able to tell all bidders that they voted for them, and nobody will know for sure.
None of the 22 men, not even Sepp Blatter, knows who will win. Yet the best current guesses of the lobbyists and bidders around the coffee tables are Russia for 2018 and the US for 2022. (True, William Hill has Qatar as runaway favourite for 2022, but the bookmaker explains that very few punters have bet on the 2022 race, and so a couple of large-ish bets on Qatar would be enough to skew the odds.) When it’s all done, Fifa can go away and reform the voting process so that the whole thing is a bit less secretive and embarrassing when it next chooses a host, by which time many of today’s Exco members will be long past caring.