Book review: The Age of Turbulence: Adventures in a New World by Alan Greenspan.
The first half of this book provides a decent history of the past 40 years, with a few special insights such as descriptions of how most presidents in that period worked (he’s one of the least partisan people to have worked with most of them). The second half is a discussion of economics of rather mixed quality (both in terms of wisdom and ability to put the reader to sleep).
He comes across as a rather ordinary person whose private thoughts are little more interesting that his congressional testimony.
One of the strangest sections describes the problems he worried would result from a projected paydown of all federal government debt. He does claim to have been careful not to forget the possibility those forecasts could be mistaken. But his failure to mention ways that forecasts of Social Security deficits could be way off suggests he hasn’t learned much from that mistake.
He mentions a “conundrum” of falling long-term interest rates in 2004-2005, when he had expected that rising short-term rates would push up long-term rates. I find his main explanation rather weak (it involves technology induced job insecurity leading to lower inflation expectations). But he then goes on to describe a better explanation (but is vague about whether he believes it explains the conundrum): the massive savings increase caused largely by rapid growth in China. I suspect this is a powerful enough force that Deng Xiaoping deserves more credit than Greenspan for the results that inspired the label Maestro.
The book is often more notable for what it evades than what it says. It says nothing about his inflationary policies in 2003-2004 or his favorable comments about ARMs and how they contributed to the housing bubble.
He gives a brief explanation of how Ayn Rand converted him to an Objectivist by pointing out a flaw in his existing worldview, but he is vague about his drift away from Objectivism. His description of the 1995 government “shutdown” as a crisis is fairly strong evidence of a non-Randian worldview, but mostly he tries to avoid controversies between libertarianism and the policies of politicians he likes.
He often praises markets’ abilities to signal valuable information, yet when claiming that the invasion of Iraq was “about oil”, he neglects to mention the relevant market prices. Those prices appear to discredit his position (see Leigh, Wolfers and Zitzewitz’ paper What do Financial Markets Think of War in Iraq?).
He argues against new hedge fund regulations on the grounds that hedge funds change their positions faster than regulators can react. He is right about the regulations that he imagines, but it’s unfortunate that he stops there. The biggest financial problems involve positions that can’t be liquidated in a few weeks. It seem like it ought to be possible for accounting standards to provide better ways for institutions to communicate to their investors how leveraged they are and how sensitive their equity is to changes in important economic variables.
He argues against using econometric models to set Fed policy, citing real problems with measuring things like NAIRU and GDP, but if he was really interested in scientifically optimizing Fed policy, why didn’t he try to create models based on more relevant and timelier data (such as from the ISM?) the way he did when he had a job that depended on providing business with useful measures? Maybe he couldn’t have become Fed chairman if he had that kind of desire.
I listened to the cd version of this book because I got it as a present and listening to it while driving had essentially no cost. I wouldn’t have bought it or read the dead tree version.
Economics
I just got around to checking out a mailing list devoted to Futarchy. It looks interesting enough that I expect to post a number of messages to it over the next few weeks. But I have some concerns that is focused too much on problems associated with the final stages on the path to a pure Futarchy rather than on what I see as the more valuable goal of implementing an impure system that involves voters relying heavily on market predictions (which I see as a necessary step to take before people will seriously consider pure Futarchy).
I’m in the process of writing comments on the book Predictocracy, probably too many for one post, and I expect I’ll post some of them only on the futarchy_discuss list.
Sen. John Barrasso (R-WY) has introduced a bill to create prizes for carbon sequestration:
This is how it would work. There would be four different levels of prizes. The first level award would go to the public or private entity that could first demonstrate a design for a successful technology that could remove and permanently sequester greenhouse gases. Second, there would be a prize for a lab scale demonstration project of the technology that accomplishes the same thing. Third, there would be an award for demonstrating the technology to remove and permanently sequester greenhouse gases that is operational at a larger, working model scale. Finally, there would be an award for whoever could demonstrate the technology to remove and permanently sequester greenhouse gases on a commercially viable scale.
It sounds like many important details would be decided by a federal commission. The prizes could have many of the promises and drawbacks of Virgin Earth Challenge.
The first three levels of the prizes appear to create incentives to create designs with little regard for commercial feasibility. If those prizes are large, they might end up rewarding technologies that are too expensive to be worth using. Small prizes might have little trouble with this due to inventors not wanting to spend much money to win the prizes, but I’d still have concerns about inventors paying little attention to reliability and maintenance costs. The fourth level appears more promising.
Bureaucrats are likely to put more effort into clarifying prize rules that the Virgin Earth group did. But it’s unclear whether any approaches that a government agency is likely to recommend will do a decent job of translating the “commercially viable” goal into a clear enough set of rules that inventors will be able to predict how the prizes will be awarded.
My advice for the commission, should it be created, is that it tie the prizes to actual amounts of carbon removed from the atmosphere over some pre-specified period, or to estimates of those amounts derived from a prediction market.
(HT Jim Manzi).
The Politimetrics provides implied probabilities of Clinton or Obama winning in November if they get the nomination, derived from Intrade prices. I’m surprised that it’s been showing recently that the difference in their electabilities has been mostly zero, with occasional indications that Clinton is slightly more electable. Most other sources of information appear to suggest that Obama has more support than Clinton among independents and Republicans.
I just did a little trading to help move the market toward showing Obama as more electable by replacing my small bet against Clinton being nominated with a bet against her becoming president, but the amount I’m willing to trade was small enough that the markets moved in the opposite direction (i.e. showed increased Clinton electability).
What could cause the markets to indicate knowledge that conflicts with what I expect?
It could be that several limitations of Intrade impair market efficiency, such as not making it easy to see what those of us who have noticed the Politimetrics site see, or having margin requirements that are not conducive to exploiting inefficiencies of this nature (even if I were more confident that the market is wrong, the expected return on investment isn’t enough to persuade me to make large trades).
It could be that Obama is sufficiently unusual that there’s more uncertainty in how he will do, so that while the most likely result is that he’d get more votes than Clinton would, there’s a greater chance of a negative surprise with him.
It could be that Clinton is expected to be sufficiently vicious if she’s losing that she would hurt Obama before giving up.
But the history shown on the Politimetrics site has swings that seem unexplained by these guesses.
Book review: Poverty and Discrimination by Kevin Lang.
This book is designed to make you feel less sure of your knowledge, and it succeeds in that goal. That’s a worthy accomplishment, although it provides much less satisfaction than a book that provides a grand vision for solving problems would. At some abstract intellectual level I liked the book, but my gut feelings often told me that reading the book was unrewarding work that I shouldn’t do unless it was assigned reading for a course I needed.
The book will dissatisfy anyone who wants to view politics as a fight between good and evil. For many issues such as the minimum wage, he provides strong arguments that the effects are small enough that we should doubt whether the issue is worth fighting about.
He gives good explanations of why it’s hard to even have clear concepts of poverty and discrimination by providing examples of how seemingly trivial or unobservable differences can create results that our intuitions say are important to our moral rules.
He provides clear evidence that some discrimination still exists, and then thoroughly explains why there’s large uncertainty about how harmful it is. He presents one moderately unrealistic model in which discrimination is common but doesn’t affect wages. Then he presents a somewhat more realistic model in which a tiny bit of discrimination produces large wage differences. But those wage differences may overstate the harm done, because they’re partly due to minorities spending less on education and to women pursuing careers in lower risk occupations or careers which allow more flexibility to take time off.
There are only a handful of places where I doubted his objectivity.
He reports one study showing evidence of racial discrimination in home loans, but fails to mention any of the contrary evidence such as the Anderson and Vanderhoff paper showing higher marginal default rates for blacks.
The final few pages on policy implications seem poorly thought out compared to the rest of the book (he says that’s the least important chapter of the book). He claims that income taxes on the bottom quintile can be reduced to zero by a 10% increase on the top quintile, but that claim depends on assumptions about how reported income changes in response to tax increases. He doesn’t indicate what assumptions his claim depends on.
He claims “The high rate of incarceration in the United States and the high level of inequality are related.” He gives a plausible theory about why inequality causes the wealthy in some countries to spend a lot protecting their wealth from the poor, but provides no evidence connecting that theory to U.S. incarceration rates.
Early this week, the Federal Reserve Board lowered interest rates at an unexpected time by a surprisingly large amount.
I see three possible explanations, which I think are about equally likely.
- The Fed has evidence that the economy is slowing more than markets have realized.
- The Fed has evidence that some big financial institutions have troubles that are endangering the careers of some influential people, and is bailing out those institutions in hopes that those people will use their influence to enhance the job security of the people in charge of the Fed.
- Bernanke isn’t interested in the kind of publicity he can get by maximizing the total number of rate cuts. He realizes that a steady, predictable series of small rate cuts doesn’t stimulate the economy as well as cutting rates far enough that it isn’t easy to predict that more rate cuts will be needed (for one thing, making further rate cuts predictable creates incentives to postpone borrowing to when rates are lower). If that’s what’s happening, it’s not going to work as well as he would like this time, because the markets think the Fed is following the predictable rate cut strategy that gives them publicity for doing something at the time that the average person is most concerned about recession.
In related news, Singapore has a system which is designed to stabilize the economy rather than to provide politicians with opportunities to claim credit for doing something about the economy.
China is imposing widespread price controls and suffering power shortages which hinder production. If China were like the U.S., I’d say it’s trying to recreate the experience the U.S. had in the early 1970s. But the way Chinese politics work, the central government probably will allow local authorities to use a lot of discretion in enforcing the price controls, so the price controls will probably only produce shortages in a few industries that are dominated by large state-owned firms.
Politimetrics (associated with the Westminster Business School) has sponsored some additional Intrade contracts which will provide information about the impact of the presidential election on the country if they ever get enough liquidity. So far, there’s been no sign that much liquidity will exist.
One reason I (and presumably other traders) haven’t placed many orders is that the contracts deal with individual candidates. Since the value of the new contracts should fluctuate with the probability of the relevant candidate’s winning, and those fluctuations are currently much larger than any other factor affecting the prices, trading them would require any trader who doesn’t accept the market price to frequently monitor the prices of the underlying contracts. Nobody wants to do that unless the contracts already have significant volume.
Even if they had some liquidity, there’s a good deal of risk that the long-shot bias which appears to be common on Intrade would limit my confidence in the value of the information provided by those prices for all but the two or three candidates who are most likely to win in November (i.e. I’d probably believe what they said about Clinton relative to Obama, but I’d doubt they would be useful for voters in Republican primaries).
When it becomes clear who will win each party’s nomination, these problems will be reduced, and I’ll probably place a moderate number of orders on some of these contracts.
It should be possible to design a better user interface for decision markets of this nature so that users could place orders purely on the probable impact of a candidate’s election. Shock response futures come closer to doing that than contracts of the form “X wins and Y happens”, but can probably only indicate the direction of the impact.
I’ve created web pages at https://bayesianinvestor.com/amm/implied.html and https://bayesianinvestor.com/amm/implied4.html (which are currently being updated 4 times a day) which show implied prices (i.e. the price of the conditional contract as a percent of the price of the underlying candidate’s contract) that ought to represent what the markets think the probable effects would be if that candidate wins. Ideally traders could place orders expressed in terms of those implied prices, but that’s nontrivial to implement, and unlikely to happen unless someone pays Intrade a fair amount to create.
I’ve commented on Jed Christiansen’s blog about why I doubt the conditional contracts I’m subsidizing have had enough trading yet to produce valuable information. But the trends suggest there will be enough trading within a few weeks.
I have implemented subsidies to encourage trading of some conditional prediction market contracts that may provide useful information about the consequences of the 2008 presidential election, via a simple automated market maker (using an algorithm described near the end of http://hanson.gmu.edu/ifextropy.html). The subsidized market maker ought to provide incentives for traders to devote more thought to these contracts than they would if the liquidity was less predictable.
Intrade has agreed not to charge any trading or expiry fees on these contracts.
Some places to look for extensive description of the motivations behind these subsidies are here and here.
The contracts are:
-
Oil Futures and PRESIDENT.DEM2008 prices will move in same direction on Election Day
This will use the change in the December 2011 Light Sweet Crude Oil futures
contract from the close before the election (Monday) to the close after the election (Wednesday). A price higher than 50 should suggest that a Democratic victory will cause oil prices to be higher than they otherwise would be, while a price below 50 should suggest that a Democratic victory will cause lower oil prices.
PRESIDENT.DEM2008 refers to the Intrade contract for "Democratic Party Candidate to Win 2008 Presidential Election". -
Treasury bond interest rate futures and PRESIDENT.DEM2008 prices will move in same direction on Election Day
This will use the change in the December 2008 30-year US Treasury Bond futures contract from the close before the election (Monday) to the close after the election (Wednesday). A price higher than 50 should suggest that a Democratic victory will cause bond prices to be higher (and long term interest rates lower) than they otherwise would be, while a price below 50 should suggest that a Democratic victory will cause lower bond prices (and long term interest rates higher) . - Number of US troops in Iraq on 30 June 2010 if a Democrat is elected president in 2008
- NONDEM.PRES-TROOPS.IRAQ: Number of US troops in Iraq on 30 June 2010 if a non-Democrat is elected president in 2008
These are scaled claims whose value will range from 0 if the troop levels are zero to 100 if the troop levels are 200,000 (or more).
- Increase in US Government debt if Democrat elected president in 2008
- Increase in US Government debt if non-Democrat is elected president in 2008
Note that the change in debt is usually quite different from what
is reported as the budget deficit. The debt numbers will be taken from a
source such as the
St. Louis Fed
Series GFDEBTN, Federal Government Debt
These are scaled claims whose value will range from 0 if the debt does not increase to 100 if the debt increases by $1 trillion (or more).
Please read the detailed specifications at Intrade before trading them, as one-line descriptions are not sufficient for you to fully understand them.
For the first two of those contracts, the market maker will enter bids and asks of 38 contracts, and can lose a maximum of $5187.76 on each contract. For the other four contracts, the market maker will enter bids and asks of 115 contracts, and can lose a maximum of $7906.25 on each contract.
I will maintain a web page here devoted to these contracts.
See also this more eloquent description on Overcoming Bias.
Up to two months ago, I was not too excited by the claims of a bubble in the Chinese stock market. Maybe the stocks that trade only in China were at bubble levels, but the ones that trade in the U.S. or Hong Kong still looked like mostly good investments.
Much has changed since then. On October 17, PetroChina rose 14.5%, more than doubling in about two months. That was a one day gain in market capitalization of almost $60 billion, and a two month gain of $247 billion (doubling the market capitalization). I’ve seen similar but less dramatic rises in smaller Chinese stocks that trade in the U.S., but less on the Hong Kong stock exchange.
By comparison, the largest rises in market capitalization that I’ve been able to find in the technology stock bubble of 1999-2000 were a $50 billion one day rise in Microsoft on December 15, 1999, and a $250 billion rise (doubling) in Cisco which took four months.
I’m not saying that Chinese stocks are clearly overvalued yet, and I’m still holding some stocks in smaller Chinese companies that I don’t feel much urgency about selling. But the unusually strong and long lasting Chinese economic expansion, combined with the unusually frothy action in the stock market, are what I’d expect to be causes and symptoms of a bubble.
Bubbles in the U.S. have peaked when real interest rates rise to higher than normal levels. The Chinese government is keeping real interest rates near zero, and seems to think it can keep nominal interest rates stable and reduce inflation. That would be an unusual accomplishment under most circumstances. When combined with a stock market bubble, I suspect it could only be accomplished with drastic restrictions on economic activity, which would involve instabilities that the Chinese government has been trying to avoid by stabilizing things such as interest rates.
Without a rise in interest rates or drastic restrictions of some sort, it’s hard to see what will stop the rise in Chinese stocks. So I’m guessing we’ll see a bigger bubble than the U.S. has experienced. It’s effects will likely extend well beyond China.
Book review: A Farewell to Alms: A Brief Economic History of the World by Gregory Clark
This book provides very interesting descriptions of the Malthusian era, and a surprising explanation of how parts of the world escaped Malthusian conditions starting around 1800. The process involved centuries of wealthier people outreproducing the poor, and passing on traits/culture which were better adapted to modern living. This process almost certainly made some contribution to the industrial revolution, but I can’t find a plausible way to guess the magnitude of the contribution. Clark is not the kind of author I trust to evaluate that magnitude.
His arguments against other explanations of the industrial revolution are unconvincing. His criticisms of institutional explanations imply at most that those explanations are incomplete. But combining those explanations with a normal belief that knowledge/technology matters produces a model against which his criticisms are ineffective. (See Bryan Caplan for more detailed replies about institutional explanations).
He makes interesting claims about how differently we should think about the effects in Malthusian world of phenomena that would be obviously bad today. E.g. he thinks the black plague had good long-term effects. He made me rethink those effects, but he only convinced me that the effects weren’t as bad as commonly believed. His confidence that they were good depends on some unlikely quantitative assumptions about benefits of increased income per capita, and he seems oblivious to the numerous problems with evaluating these assumptions. His comments in the last few pages of the book about how little average happiness has changed over time leads me to doubt that his beliefs are consistent on this subject.
While many parts of the book appear at first glance to be painting a very unpleasant picture of the Malthusian era, he ends up concluding it wasn’t a particularly bad era, and he describes people as being farther from starvation than Robert Fogel indicates in The Escape from Hunger and Premature Death, 1700-2100. Their ability to reach somewhat different conclusions by looking at different sets of evidence implies that there’s more uncertainty than they admit.
He does a neat job of pointing out that economists have often overstated the comparative advantage argument against concerns that labor will be replaced by machines: horses were a clear example of laborers who suffered massive unemployment a century ago when the value of their labor dropped below the cost of their food.