Results for “age of em” 17236 found
China facts of the day
Did you know that the president of China is a scientist? President Hu Jintao was trained as a hydraulic engineer. Likewise his Premier, Wen Jiabao, is a geomechanical engineer. In fact, 8 out of China’s top 9 government officials are scientists.
Here is more, noting once again that a link does not constitute an endorsement. Hat tip goes to Science Comedian.
*The Great Stagnation* (Retrogression)
June 9 it is coming out in a physical edition, hard cover. Amazon pre-order is here. Barnes&Noble pre-order is here. The text is exactly the same as the eBook edition, although I made a minor addition to one footnote. If you’ve read Borges’s Pierre Menard, you’ll know why I regard the electronic edition as “the real book” and this volume as a kind of postmodern satire. Still, many people demanded a physical edition, sometimes for classroom use, and so now there is one.

“Google plays the yield curve”
Here is Greg Mankiw’s very interesting post, but with an open comments section:
I was fascinated a story in today’s Wall Street Journal. Apparently, Google is sitting on $37 billion in cash, but nonetheless decided to sell $3 billion worth of bonds. Why? To take advantage of low interest rates.
It is like reverse maturity transformation. The banking system borrows short and lends long. Google is borrowing long and lending short. (Or maybe I should call it reverse quantitative easing, as Google is also doing exactly the opposite of what the Fed has been doing.)
Does this make sense for Google? I have no idea, and I am ready to concede that those guys are a lot smarter (and financially successful) than I am. But there is reason to be skeptical.
The chart above shows the spread between the ten-year Treasury bond and the three-month Treasury bill. The yield spread is now high by historical standards. The empirical literature on the expectations theory of the term structure (in which I have sometimes played) suggests that this is a good time to borrow short and lend long–the opposite of what Google is doing.
Maybe this time is different, and past empirical regularities will not hold going forward. But ponder this question: If you had a friend with a paid-up house, would you suggest that he now take out a long-term mortgage in order to deposit the proceeds in a money-market fund? If not, does it make sense for Google to be doing much the same thing?
The usual explanation for this kind of apparently strange financial behavior is that shareholders wish to force the managers into accepting the scrutiny of outside capital markets; see Easterbrook 1984. That seems less plausible in the case of Google, where concentrated delegated monitoring by major shareholders remains strong. An alternative explanation is that Google has a very high option value for the cash, which more or less implies they see a lot of acquisition and investment opportunities in their not so distant future. A lot.
Assorted links
1. One way of measuring structural shifts.
2. The culture that is German, they sold condoms in the Bundestag (in German), though now no more.
3. Debt ceiling games throughout the ages.
4. Coverage from Guinea (in French); the maid is described as a nice person. And “His most recent book, Left in Dark Times: A Stand Against the New Barbarism, discusses political and cultural affairs as an ongoing battle against the inhumane.” The Germans give the most detail.
5. The inefficiency of urban sorting?
6. Lengthy 2005 interview with Milton Friedman at 93 (Charlie Rose). Fascinating.
The offshore bias in U.S. manufacturing
In the newest Journal of Economic Perspectives, Susan Houseman, Christopher Kurz, Paul Lengermann and Benjamin Mandel report:
In this paper, we show that the substitution of imported for domestically produced goods and services—often known as offshoring—can lead to overestimates of U.S. productivity growth and value added. We explore how the measurement of productivity and value added in manufacturing has been affected by the dramatic rise in imports of manufactured goods, which more than doubled from 1997 to 2007. We argue that, analogous to the widely discussed problem of outlet substitution bias in the literature on the Consumer Price Index, the price declines associated with the shift to low-cost foreign suppliers are generally not captured in existing price indexes. Just as the CPI fails to capture fully the lower prices for consumers due to the entry and expansion of big-box retailers like Wal-Mart, import price indexes and the intermediate input price indexes based on them do not capture the price drops associated with a shift to new low-cost suppliers in China and other developing countries. As a result, the real growth of imported inputs has been understated. And if input growth is understated, it follows that the growth in multifactor productivity and real value added in the manufacturing sector have been overstated. We estimate that average annual multifactor productivity growth in manufacturing was overstated by 0.1 to 0.2 percentage points and real value added growth by 0.2 to 0.5 percentage points from 1997 to 2007. Moreover, this bias may have accounted for a fifth to a half of the growth in real value added in manufacturing output excluding the computer and electronics industry.
In other words, Michael Mandel was right. An ungated version is here. In terms of income distribution, think of these rents as going to those individuals and institutions which are good at managing international supply chains. That’s a relatively small number of people. A lot of the offshoring is enabled by an innovation — the internet — which really does boost productivity but not in a way which much helps the median U.S. wage.
Three (unrelated?) points about stagnation
I’ve been wondering about a few questions.
Internalizing externalities is a common theme in economics,and it’s also called capturing the value you create. Don’t economists believe this happens — and happens increasingly — all the time? Karl Smith writes (and you can find his caveat here):
TFP growth depends on the returns to innovation not being captured by the innovator. Otherwise it becomes a return to the factor of production rather than total factor productivity.
Does TFP tend to fall once it has been high for a while? Is falling TFP, following a technological breakthrough, a sign of the market’s ability to capture value and internalize externalities? And is this another reason why we might prefer imperfectly defined intellectual property rights?
The second question concerns the Industrial Revolution. There is a large cottage industry about the origins of “the rise of the West,” and so on. I am not disputing the particular causal claims made in this literature. Still, I wonder what is being explained. Arguably the potency of the technological platform of “powerful machines plus fossil fuels” was not well understood in advance. Ex post, that it led to the “rise of the modern world” was somewhat of a technological accident. In this sense, studies of the origins of the Industrial Revolution, analytically speaking, are explaining “the Industrial Revolution” (to some extent). But the “sense-reference distinction” matters here. These studies are not so much explaining “the rise of the modern world,” which is more of a technological accident than we might wish to think.
Third, there remains the issue of unmeasured gains in real wages. Let’s try a simple thought experiment. Say I’ve been at George Mason twenty years (much less since 1973) and my real wage had never gone up (not the case). But my Dean were to say to me: “Tyler, U.S. health care has some new procedures, when you’re 73 you’ll have stents, and now can surf the internet and watch reruns of Battlestar Galactica. We’ve treated you very well!” Such a claim would not pass the laugh test and few people would accept it as applied to their own employment relation. Yet many of those same people make this same argument in the aggregate. I still think that if measured real wages for a group (or individual) have not gone up very much, over a long period of time, something is wrong. Wrong with the Dean, wrong with me, whatever, but something is wrong. Who would have predicted in 1972 that measured male median wages were going to stagnate and even possibly fall? You should be shocked by this result and indeed I am.
Who are the favorite economic thinkers, journals, and blogs?
The piece, by Daniel Klein, et.al., has this abstract:
A sample of 299 U.S. economics professors, presumably random, responded to our survey which asked favorites in the following areas: Economic thinkers (pre-twentieth century, twentieth century now deceased, living age 60 or older, living under age 60), economics journals, and economics blogs. First-place positions as favorite economist in their respective categories are Adam Smith (by far), John Maynard Keynes followed closely by Milton Friedman, Gary Becker, and Paul Krugman. For journals, the leaders are American Economic Review and Journal of Economic Perspectives. For blogs, the leaders are Greg Mankiw followed closely by Marginal Revolution (Tyler Cowen and Alex Tabarrok). The survey also asked party-voting and 17 policy-view questions, and we relate the political variables of respondents to their choice of favorites.
The favorite twentieth century economists are Keynes, Friedman, Samuelson, and Hayek, in that order. Kenneth Arrow doesn’t do as well as he should, though he comes in second, after Gary Becker, in the category, favorite living economists, sixty years or older.
As for favorite living economists, under age sixty, Paul Krugman wins by a long mile, followed by Greg Mankiw, then Acemoglu, Levitt, and David Card. I do not deserve my position at #16, but thanks if you voted for me! Scroll to p.13 for that list.
On p.14 there is a fascinating chart about the political orientations of the voters for various favorite economists. Krugman for instance is more popular among left-wing economists.
The votes for favorite journal are on p.16, no surprises there. p.17 has the favorite blogs chart. Krugman and DeLong are third and fourth, after Mankiw and MR.
It is a fascinating paper which says much about our profession.
That is all from the latest issue of Econ Journal Watch, the link to the whole issue is here. Here is a good piece about the embarrassment of Richard T. Ely.
Simple Interventions that Work
Sometimes simple interventions are the best. From research by Glewwe, Park and Zhao.
About 10% of primary school students in developing countries have poor vision, yet in virtually all of these countries very few children wear glasses….This paper presents results from the first year of a randomized trial in Western China that began in the summer of 2004. The trial involves over 19,000 students in 165 schools in two counties of Gansu province. The schools were randomly divided (at the township level) into 103 schools that received eyeglasses (for students in grades 4-6) and 62 schools that served as controls. The results from the first year indicate that, after one year, making eyeglasses available increased average test scores by 0.09 to 0.14 standard deviations (of the distribution of the test scores). For those students who accepted the glasses, average test scores increased by 0.12 to 0.22 standard deviations….
These are rather large effects; similar tests given to children in grades 5 and 6 in Gansu province show that an addition year of schooling leads to an increase of 0.4 to 0.5 standard deviations of the distribution of test scores, which implies that these impacts are equivalent to one fourth to one half of a year of schooling. Thus providing eyeglasses is a relatively low cost and easily implementable intervention that could improve the academic performance of a substantial proportion of primary (and secondary) school students in developing countries.
It’s interesting that many students/parents refused the glasses.
Hat tip to Stephen Dubner who has a good segment on this at Freakonomics Radio.
Tight labor markets
Demand for Australian commodities is running white-hot. So too are costs in the country’s remote mining towns, to the point where tiny huts or “dongas” can cost as much as a five-star hotel room and backpackers can earn $2,000 a week cleaning them….
“Here the work is very good. You can work 80 hours a week if you want. It’s good money,” said Pic Segolene, a 25-year-old French backpacker who came to Karratha to earn enough cash to fund the rest of her trip around Australia.
Segolene works about 10 hours a day, earning A$25 ($26) an hour to clean houses in this thin slice of suburbia that serves as an Indian Ocean port and a gateway to the endless and bountiful red deserts of Australia’s interior.
Her boyfriend, Eric Gehin, 31, makes A$31 an hour as a gardener.
…Karratha has an official population of 18,000, but up to 10,000 more cram into the town, about 1,300 km (780 miles) from the nearest major city, to work for the mining or gas industries.
Workers often have to stay in primitive accommodation known as “dongas,” pre-fabricated huts smaller than a shipping container, each with an overworked air conditioner to keep out desert temperatures that can soar to 40 degrees Celsius.
A “donga” can cost up to A$250 a night, about the same price as a room in a five-star hotel in Sydney, overlooking that city’s famous harbour, or in downtown Tokyo or London.
The full story is here. There are jobs in North Dakota as well, which is reporting labor shortages.
The new argument against financial innovation
It is from the not yet but soon to be famous Alp Simsek, at Harvard, and smart people tell me it is important and already influential. I will read the paper soon, here is the abstract:
While the traditional view of financial innovation emphasizes the risk sharing role of new fi nancial assets, belief disagreements about these assets naturally lead to speculation, which represents a powerful economic force in the opposite direction. This paper investigates the effect of fi nancial innovation on risks in an economy when both the risk sharing and the speculation forces are present. I consider this question in a standard CARA-Normal framework. Financial assets provide hedging services but they are also subject to speculation because traders do not necessarily agree about their payoffs. I de fine the average variance of traders net worths as a measure of financial stability for this economy, and I decompose it into two components: the uninsurable variance, de fined as the average variance that would obtain if there were no belief disagreements, and the speculative variance, de fined as the residual variance that results from speculative trades based on belief disagreements. Financial innovation always decreases the uninsurable variance because new assets increase the possibilities for risk sharing. My main result shows that financial innovation also always increases the speculative variance. This is true even if traders completely agree about the payoffs of new assets. The intuition behind this result is the hedge-more/bet-more effect: Traders use new assets to hedge their bets on existing assets, which in turn enables them to place larger bets and take on greater risks. This effect suggests that financial innovation is more likely to be destabilizing in more complete financial markets and when it concerns derivative assets.
In a dynamic setting, financial innovation always reduces the average variance in the long run because traders learn from past asset payoffs. A question emerges as to how new assets should be introduced to minimize their short run impact on the speculative variance. I show that staggering (or delaying) the introduction of new assets is not effective because it reduces traders learning simultaneously with their speculation. A viable alternative is to set temporary position limits (or taxes) on new assets.
If there was a “Fantasy Economics League,” I would go long on this guy. For the pointer I thank Tristan.
*The Next Convergence*
The authors is Michael Spence (yes, the Michael Spence and he used to be “A. Michael Spence”) and the subtitle is The Future of Economic Growth in a Multispeed World. The book’s home page is here.
I enjoyed reading this book. It is an entirely sensible take on catch-up growth, a topic which is lacking a good popular treatment and yet deserves one. I found each of the short chapters well-written and to the point. Yet I came away from the work with a strange feeling: I don’t have a good sense of why Spence wrote the book. It doesn’t flex his Nobel-quality analytic mental abilities (unlike this recent piece he wrote), nor is it a rank popularization. It doesn’t promote a “big idea” that his name will be attached to, nor is Spence moving in the Stiglitz or Krugman directions, either politically or in terms of level of pitch. I don’t understand what the book is supposed to be signaling.
I also was baffled when Spence agreed to take on a Deanship, at the peak of his economics research career. Doesn’t one do well academically, in part, to say no to meetings, and to avoid becoming a Dean? Apparently not in this case.
I have no good theory of A. Michael Spence, or for that matter of Michael Spence.
Since his seminal papers and book on signaling, there has been no more important idea in economics.
I see Michael Spence, and A. Michael Spence, as among the most interesting economists out there. They remain ciphers to me, enjoyable ciphers but ciphers nonetheless.
*The Changing Body*
The authors are Roderick Floud, Nobel Laureate Robert W. Fogel, Bernard Harris, and Sok Chul Hong, and the subtitle is Health, Nutrition, and Human Development in the Western World since 1700. Here is one key sentence:
Chronically malnourished populations of Europe universally responded to food constraints by varying body size.
You can write an important and fascinating 400-page book around that sentence, although it will not hold the attention of all readers. Here is a good summary article (1/20) on the book. Here is another excerpt:
Even if it is assumed that the daily number of calories available for work was the same in the United States in 1860 as today, the intensity of work per hour would have been well below today’s levels, since the average number of hours worked in 1860 was 1.75 times as great as today. During the mid nineteenth century, only slaves on southern gang-system plantations appear to have worked at levels of intensity per hour approaching current standards.
It is interesting to read the authors’ estimates of wage growth from 1750 to about 1820. Some estimates suggest zero growth, while a more optimistic study shows that in Great Britain real wages rose about 12.5 percent between 1770 and 1818, and that was during the Industrial Revolution or should that be “during the so-called Industrial Revolution”? Read this piece by Charles Feinstein; the standard of living for the average working class family increased by only 15 percent from the 1780s to the 1850s. Here is an ungated paper with similar results. Great Stagnation-like phenomena are not new and as Arnold Kling noted recently, theories of technological unemployment may yet make a comeback.
Here are two blue-footed boobies.
Sendhil Mullainathan to the CFPB
The Treasury Department announced the hiring of senior leadership for the Consumer Financial Protection Bureau. Among the hires: Harvard University economist Sendhil Mullainathan .
The leading behavioral economist of his generation, his research has focused on how people’s biases and weaknesses lead them to make bad economic decisions. He is also a founder, with Esther Duflo and Abhijit Banerjee, of MIT’s Jameel Poverty Action Lab.
His research has provided much of the intellectual foundation for the establishment of the CFPB, which is tasked with making “markets for consumer financial products and services work for Americans.”
Here is more.
*The Anatomy of Influence: Literature as a Way of Life*
That’s the new Harold Bloom book, which has all the strengths and weakness of Harold Bloom books (I am a fan). Excerpt:
Picasso is reputed to have said he did not care who influenced him but he did not want to influence himself.
Bloom’s books are very good for motivating rereads of classics, in this case Walter Pater, Paul Valery, Shakespeare, Hart Crane, Walt Whitman, Leopardi, and Montaigne’s essay “On Experience,” among others. Here is a weaker passage:
I recall first reading the poem when I was thirteen, thrilling to Satan and falling in love with Eve. In those years I fell regularly in love with fictive heroines and encountered Eve after a year of infatuation with Thomas Hardy’s heroines, particularly Eustacia Vye…and Marty South… I all but wept when Marty South cut off her long, beautiful hair, while I joined Milton and Satan in their lust for Eve’s wanton tresses.
Still, he is one of the greatest readers ever, this is probably his last major book, he truly believes in his project, and the point about prompting rereads makes this — whatever its flaws — better than almost anything else you can pick up.
Loser men
David Brooks (don’t forget his new book) writes:
…in 1954, about 96 percent of American men between the ages of 25 and 54 worked. Today that number is around 80 percent. One-fifth of all men in their prime working ages are not getting up and going to work. According to figures from the Organization for Economic Cooperation and Development, the United States has a smaller share of prime age men in the work force than any other G-7 nation. The number of Americans on the permanent disability rolls, meanwhile, has steadily increased. Ten years ago, 5 million Americans collected a federal disability benefit. Now 8.2 million do. That costs taxpayers $115 billion a year, or about $1,500 per household.
…There are probably more idle men now than at any time since the Great Depression, and this time the problem is mostly structural, not cyclical. These men will find it hard to attract spouses. Many will pick up habits that have a corrosive cultural influence on those around them.
The rise in disability comes across a time horizon when jobs are becoming much safer and health care is improving.
I am struck by the difference between how some economists talk about “the job market,” and how they talk about the job market in academia, which of course is the job market they know the most about.
When it comes to the job market in academia, most economists have few hesitations about blaming many of the jobless for their fate and applying extreme meritocratic views. “He spent seven years finishing.” “Her specification was not robust.” “He self-destructed in the interview.” Or, believe it or not, “We don’t even look at people from that school.”
(And as Robin Hanson noted, there is little talk of redistributing grades, Ph.d.s, enforcing mandatory co-authorship for job market papers, or redistributing other measures of academic accomplishment.)
Nonetheless there is clearly a significant cyclical component to academic unemployment, based largely on state government budgets for higher education; as of a few years ago, seventy-eight percent of students were in the state sector. If your department doesn’t have a slot, you probably can’t hire anybody, although a willingness to work for (much) less can lead to an adjunct job, even if many people won’t take one.
That cyclical component accounts for a lot of the short-run variation in hiring, but if you’re estimating the response to a demand shock, longer-term supply trends matter too and often they matter a great deal. If Ph.d. programs were stricter about enforcing standards of quality and relevance, rather than stringing along students to maintain the flow of revenue to the graduate program, the short run negative demand shocks would lead to a much less severe queuing problem. That’s simple microeconomics, and it should be macroeconomics too.
Furthermore short run negative demand shocks can reveal an unsustainable long-run trend in a new and sudden way, just as they do in financial crises.
When it comes to the jobless it is incorrect — and often hypocritical — to dismiss the common sense talk of traditional meritocratic factors, including structural problems on the supply side.
Addendum: Matt responds to Brooks, but his numbers don’t support his case. As I’ve argued before, it’s a lot “harder” to get a shift from ten to twenty percent unemployment than it is to get a shift from one to two percent. The cross-sectional distribution in unemployment, and its recent changes, are fully consistent with and indeed support the notion of major structural problems in the most vulnerable sectors, threshold-triggered by negative demand shocks. Again, it’s two blades of the scissors, not one.
