Posts Tagged ‘globalization’

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Apparently, the latest attempt to redefine the role of economists is to encourage them to be plumbers.

Maybe it’s just my age but, when I read plumbers, I immediately think of the covert Special Investigations Unit in the Nixon White House—the operation that began with attempting to stop the leak of classified information (such as the Pentagon Papers) and then branched into illegal activities while working for the Committee to Re-elect the President (including the Watergate break-in).

I don’t think that’s what MIT economist Esther Duflo (pdf) had in mind when, in her Ely Lecture to the American Economic Association meeting last month, she suggested that economists seriously engage with plumbing, “in the interest of both society and our discipline.”

As economists increasingly help governments design new policies and regulations, they take on an added responsibility to engage with the details of policy making and, in doing so, to adopt the mindset of a plumber. Plumbers try to predict as well as possible what may work in the real world, mindful that tinkering and adjusting will be necessary since our models gives us very little theoretical guidance on what (and how) details will matter.

I’ll admit, I have a lot of respect for plumbers (especially when they’re able to fix the mess I’ve made trying to repair an existing fixture or install a new one). And I do think anyone involved in designing new policies and regulations should learn more about how they are actually implemented.

But economists, especially mainstream economists (of the sort Duflo is speaking for and to), are the last people I’d call in to fix the policy plumbing. Me, I’d pay them a large sum of money to learn about how policy formulation and implementation actually works. And then I’d pay them even more not to get anywhere near the process.

I’d much prefer that others—from the people actually affected by the policies to representatives from other academic disciplines and areas (such as anthropology, labor studies, peace studies, and so on)—be the ones who actually engage with the details of policy-making.

A good example of why I would want mainstream economists to be kept as far as possible away from the process of policy and implementation is a recent piece by Laura Tyson and Susan Lund.*

Their view is that capitalist globalization has had “disruptive effects on millions of advanced-economy workers” (and, we should add, on millions of workers—peasants, wage-laborers, and others—in economies that are not so advanced) and has aggravated income inequality within countries. So far so good.

But then they assert, without evidence, that the main culprit is not how globalization has been carried out, but technological change, which “automates routine manual and cognitive tasks, while increasing demand (and wages) for highly skilled workers.”

And because they take technological change as a given (rather than a strategy on the part of employers to boost profits), they recommend that workers (who, they presume, have no say in the development and implementation of new technologies) are the ones who need to adapt.

advanced economies must help workers acquire the skills needed to fill high-quality jobs in the digital economy. Lifelong learning cannot just be a slogan; it must become a reality. Mid-career retraining must be made available not only to those who have lost their jobs to foreign competition, but also to those facing disruption from the continuing march of automation. Training programs should be able to impart new skills in a matter of months, not years, and they should be complemented by programs that support workers’ incomes during retraining, and that help them relocate for more productive work.

Now, it’s true, Tyson and Lund don’t spend any time on the plumbing of creating and implementing lifelong learning programs. But that’s not the problem. Even if they were good economic plumbers, we’d still end up with a situation in which employers set the agenda and workers are forced to have the freedom to scramble to try to keep up.

That’s the plumbing Tyson and Lund leave out of their analysis. It’s what keeps the extra value flowing from workers to their employers. And, if workers are no longer useful for creating that extra value, they’re simply flushed down the drain.

If and when mainstream economists are willing to talk about those parts of the economic system, I’ll be the first to invite them to join the plumbers’ union.

But only, until they prove they can analyze and fix the problem, as plumber apprentices.

 

*This is not to pick on Tyson and Lund. I could have chosen any one of an almost infinite number of essays on economic policy by mainstream economists I’ve read over the years. Theirs just happens to be the latest I’ve run across.

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Actually, robots do kill people.

A 21 year old external contractor was installing the robot together with a colleague when he was struck in the chest by the robot and pressed against a metal plate. He later died of his injuries, reports Chris Bryant, the FT’s Frankfurt correspondent.

While we certainly need to be aware of industrial accidents associated with robots, what we really need to be more concerned about is the relationship between the use of robotics and the metaphorical killing of workers via the elimination of their jobs.

Richard Baldwin [ht: ja], president of the Centre for Economic Policy Research and Editor-in-Chief of Vox (VoxEU.org, which he founded in June 2007), appears to agree:

Technological advances could now mean white-collar, office-based workers and professionals are at risk of losing their jobs

But, he argues, those who expect Brexit or the kinds of protectionist policies advocated by President Trump to bring back manufacturing jobs are sadly mistaken.

I think he’s right. Blaming international trade and immigration for the precarious plight of the working-class within advanced nations is wrongheaded.* Moreover, as Baldwin explains elsewhere, “We shouldn’t try and protect jobs; we should protect workers.”

However, the mistake Baldwin and other technological optimists make is to treat industrial robots (and their contemporary extensions, such as telepresence and telerobotics) in a purely instrumental fashion, as both inevitable and technically neutral. Just like the ubiquitous NRA bumper sticker: “Guns Don’t Kill People, People Kill People.”

As Bruno Latour (pdf) has explained, the NRA “cannot maintain that the gun is so neutral an object that is has no part in the act of killing.”

You are different with a gun in hand; the gun is different with you holding it. You are another subject because you hold the gun; the gun is another object because it has entered into a relationship with you. The gun is no longer the gun-in-the-armory or the gun-in-the-drawer or the gun-in-the-pocket, but the gun-in-your-hand, aimed at someone who is screaming. What is true of the subject, of the gunman, is as true of the object, of the gun that is held. A good citizen becomes a criminal, a bad guy becomes a worse guy; a silent gun becomes a fired gun, a new gun becomes a used gun, a sporting gun becomes a weapon.

And much the same is true of robotics. Employers are different when they have access to robots. They are another subject because they can reconfigure production by purchasing and installing robots; and robots are different objects when they enter into a relationship with employers, who stand opposed to their workers.

So, as it turns out, “it is neither people nor guns that kill” people. And, by the same token, it is neither employers nor robots that kill workers and their jobs. Responsibility for the action must be shared between the two—the employers who utilize robotics to increase productivity and raise profits, and the robots that are engineered, produced, and then sold for particular purposes, like transforming jobs and replacing workers.

So, yes, we shouldn’t try and protect jobs. Instead, we should protect workers. But the only way to protect workers is to create institutions for workers to be able to protect themselves. Leaving the European Union and electing Trump won’t do that. They are merely empty promises. Nor, as Baldwin presumes, will leaving robots in the hands of employers and expecting government programs to pick up the pieces.

It is still the case that most people are forced to have the freedom to attempt to sell their ability to work to a small group of employers, who have the option of using robots to replace them—across the globe—if and when they deem it profitable.

What that means is: robots and their employers do kill workers. Because of profits.

 

*And, as the United Nations Conference on Trade and Development (pdf) warns, “the increased use of robots in developed countries risks eroding the traditional labour cost advantage of developing countries.” That’s another reason to be cautious when it comes to facile predictions that the combination of globalization and robotics will be an unqualified advantage to workers in the Global South.

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Last year, as I reported the other day, I published over 800 new posts.

I’ve never done this before. However, I decided to look back over the year and choose one post for each month of 2016:

January—Liberal ideology

February—Who are the capitalists?

March—Yea, they’re angry!

April—Life among the liberal econ

May—Letting capitalism off the hook

June—Globalization, inequality, and imperialism

July—Trump and the Prosperity Gospel

August—The Mandibles and dystopian finance fiction

September—What about the white working-class?

October—Nobel economics—or why does capital hire labor?

November—Condition of the working-class in the United States

December—China syndrome

Enjoy!

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Alec Monopoly, “Flying Monopoly” (2015)

In the second installment of this series on “class before Trumponomics,” I argued that, in recent decades, while American workers have created enormous wealth, most of the increase in that wealth has been captured by their employers and a tiny group at the top—as workers have been forced to compete with one another for new kinds of jobs, with fewer protections, at lower wages, and with less security than they once expected. And the period of recovery from the Second Great Depression has done nothing to change that fundamental dynamic.

In this post, I want to focus on a more detailed analysis of the other side of the class relationship—capital.

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It should come as no surprise that one of the major changes in U.S. capital over the past few decades is the growing importance of financial activities. Since 1980, FIRE (finance, insurance, and real estate) has almost doubled, expanding from roughly 12 percent of the gross output of private industries to over 20 percent.

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And the rise in the share of corporate profits from financial activities was even more spectacular—from 10.8 percent in 1984 to a whopping 37.4 percent in 2002—and then falling during the crash, but still at a historically high 26.6 percent in 2015.

By any measure, U.S. capital became increasingly oriented toward finance beginning in the early 1980s—as traditional banks (deposit-gathering commercial banks), non-bank financial entities (especially shadow banking, such as investment banks, hedge funds, insurers and other non-bank financial institutions), and even the financial arm of industrial corporations (such as the General Motors Acceptance Corporation, now Ally Financial) absorbed and then profited by creating new claims on the surplus.

This process of “financialization” was the flip side of the decreasing labor share in the U.S. economy: On one hand, stagnant wages meant both an increasing surplus, which could be recycled via the financial sector, and a growing market for loans, as workers sought to maintain their customary level of consumption via increasing indebtedness. On the other hand, the production of commodities (both goods and services) became less important than capturing a portion of the surplus from around the world, and utilizing it via issuing loans and selling derivatives to receive even more.

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Not only did finance become increasingly internationalized, so did the U.S. economy as a whole. As a result of employers’ decisions to outsource the production of commodities that had previously been manufactured in the United States and to find external markets for the sale of other commodities (especially services), and with the assistance of the lowering of tariffs and the signing of new trade agreements, the U.S. economy was increasingly opened up from the early-1970s onward. One indicator of this globalization is the increase in the weight of international trade (the sum of exports and imports) in relation to U.S. GDP—more than tripling between 1970 (9.33 percent) to 2014 (29.1 percent).

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The third major change in U.S. capital in recent decades is a rise in the degree of corporate concentration and centralization—to such an extent even the President’s Council of Economic Advisers (pdf) has taken notice. A wave of mergers and acquisitions has made firms larger and has increased the degree of market concentration within a broad range of industries. In finance, for example, the market share of the five largest banks (measured in terms of their assets as a share of total commercial banking assets) more than doubled between 1996 and 2014—rising from 23.2 percent to 47.9 percent.

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The U.S. airline industry also experienced considerable merger and acquisition activity, especially following deregulation in 1978. The figure above (from a report by the U.S. Government Accountability Office [pdf]) provides a timeline of mergers and acquisitions for the four largest surviving domestic airlines—American, Delta, Southwest, and United—based on the number of passengers served. These four airlines accounted for approximately 85 percent of total passenger traffic in the United States in 2013.

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Another piece of evidence that concentration and centralization have increased within the U.S. economy is (following Jason Furmanthe growing gap between corporate profits and interest-rates. The fact that corporate profits (as a share of national income, the top line in the chart above) have risen while interest-rates (the nominal constant-maturity 1-year rate estimated by the Federal Reserve, less inflation defined by the Consumer Price Index, the bottom line in the chart above) indicates that the portion of profits created by oligopoly rents has grown in recent decades.*

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Together, the three main tendencies I have highlighted—financialization, internationalization, and corporate rents—indicate a fundamental change in U.S. capital since the 1980s, which has continued during the current recovery. One of the effects of those changes is a decline in the importance of manufacturing, especially in relation to FIRE, as can be seen in the chart above. Manufacturing (as measured by value added as a percentage of GDP) has declined from 22.9 percent (in 1970) to 12 percent (in 2015), while FIRE moved in the opposite direction—from 14.2 percent to 20.3 percent. Quantitatively, the two sectors have traded places, which qualitatively signifies a change in how U.S. capital manages to capture the surplus. While it still appropriates surplus from its own workers (although now more in the production and export of services than in manufacturing), it now captures the surplus, from workers inside and outside the United States, via financial activities. On top of that, the largest firms are capturing additional portions of the surplus from other, smaller corporations via oligopoly rents.

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source

What we’ve witnessed then is a fundamental transformation of U.S. capital and thus the U.S. economy, which begins to explain a whole host of recent trends—from the decrease in rates of economic growth (since capital is engaged less in investment than in other activities, such as stock buybacks, hoarding profits in the form of cash, and mergers and acquisitions) to the rise in corporate executive pay in relation to average worker pay (which has ballooned, from 29.9 in 1978 to 275.6 in 2015).

What is clear is that the decisions of U.S. capital as it changed over the course of recent decades created the conditions for the crash of 2007-08 and the unevenness of the subsequent recovery, which culminated in the victory of Donald Trump in November 2016.

 

*Another way to get at these oligopoly rents is to distinguish between the capital share and the profit share. According to Simcha Barkai (pdf), the decline in the labor share over the last 30 years was not offset by an increase in the capital share, which actually declined. But it was accompanied by an increase in the profit share, due to a rise in mark-ups.

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Mark Tansey, “Coastline Measure” (1987)

The pollsters got it wrong again, just as they did with the Brexit vote and the Colombia peace vote. In each case, they incorrectly predicted one side would win—Hillary Clinton, Remain, and yes—and many of us were taken in by the apparent certainty of the results.

I certainly was. In each case, I told family members, friends, and acquaintances it was quite possible the polls were wrong. But still, as the day approached, I found myself believing the “experts.”

It still seems, when it comes to polling, we have a great deal of difficult with uncertainty:

Berwood Yost of Franklin & Marshall College said he wants to see polling get more comfortable with uncertainty. “The incentives now favor offering a single number that looks similar to other polls instead of really trying to report on the many possible campaign elements that could affect the outcome,” Yost said. “Certainty is rewarded, it seems.”

But election results are not the only area where uncertainty remains a problematic issue. Dani Rodrik thinks mainstream economists would do a better job defending the status quo if they acknowledged their uncertainty about the effects of globalization.

This reluctance to be honest about trade has cost economists their credibility with the public. Worse still, it has fed their opponents’ narrative. Economists’ failure to provide the full picture on trade, with all of the necessary distinctions and caveats, has made it easier to tar trade, often wrongly, with all sorts of ill effects. . .

In short, had economists gone public with the caveats, uncertainties, and skepticism of the seminar room, they might have become better defenders of the world economy.

To be fair, both groups—pollsters and mainstream economists—acknowledge the existence of uncertainty. Pollsters (and especially poll-based modelers, like one of the best, Nate Silver, as I’ve discussed here and here) always say they’re recognizing and capturing uncertainty, for example, in the “error term.”

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Even Silver, whose model included a much higher probability of a Donald Trump victory than most others, expressed both defensiveness about and confidence in his forecast:

Despite what you might think, we haven’t been trying to scare anyone with these updates. The goal of a probabilistic model is not to provide deterministic predictions (“Clinton will win Wisconsin”) but instead to provide an assessment of probabilities and risks. In 2012, the risks to to Obama were lower than was commonly acknowledged, because of the low number of undecided voters and his unusually robust polling in swing states. In 2016, just the opposite is true: There are lots of undecideds, and Clinton’s polling leads are somewhat thin in swing states. Nonetheless, Clinton is probably going to win, and she could win by a big margin.

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As for the mainstream economists, while they may acknowledge exceptions to the rule that “everyone benefits” from free markets and international trade in some of their models and seminar discussions, they acknowledge no uncertainty whatsoever when it comes to celebrating the current economic system in their textbooks and public pronouncements.

So, what’s the alternative? They (and we) need to find better ways of discussing and possibly “modeling” uncertainty. Since the margins of error, different probabilities, and exceptions to the rule are ways of hedging their bets anyway, why not just discuss the range of possible outcomes and all of what is included and excluded, said and unsaid, measurable and unmeasurable, and so forth?

The election pollsters and statisticians may claim the public demands a single projection, prediction, or forecast. By the same token, the mainstream economists are no doubt afraid of letting the barbarian critics through the gates. In both cases, the effect is to narrow the range of relevant factors and the likelihood of outcomes.

One alternative is to open up the models and develop a more robust language to talk about fundamental uncertainty. “We simply don’t know what’s going to happen.” In both cases, that would mean presenting the full range of possible outcomes (including the possibility that there can be still other possibilities, which haven’t been considered) and discussing the biases built into the models themselves (based on the assumptions that have been used to construct them). Instead of the pseudo-rigor associated with deterministic predictions, we’d have a real rigor predicated on uncertainty, including the uncertainty of the modelers themselves.

Admitting that they (and therefore we) simply don’t know would be a start.

 

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Are mainstream economists responsible for electing Donald Trump?

I think they deserve a significant share of the blame. So, as it turns out, does Dani Rodrick.

My argument is that, when mainstream economists in the United States embraced and celebrated neoliberalism—both the conservative and liberal versions—they participated in creating the conditions for Trump’s victory in the U.S. presidential election. As I see it, mainstream economists adopted neoliberalism as a set of ideas (about self-governing individuals and an economic system that needs to be understood and obeyed) and a political-economic project (on behalf of corporate bosses) and ignored the enormous costs, especially those borne by the majority of workers, their families, and the communities in which they live. And it was precisely the resentments generated by neoliberalism—which were captured, however imperfectly and in a cynical manner, by Trump’s campaign (and downplayed by Hillary Clinton’s, in the campaigns against both Bernie Sanders and Trump)—that many voters took to the polls one week ago.

Rodrick’s condemnation of mainstream economists is more specific: he focuses on the role that mainstream economists served as “cheerleaders” for capitalist globalization.*

It has long been an unspoken rule of public engagement for economists that they should champion trade and not dwell too much on the fine print. This has produced a curious situation. The standard models of trade with which economists work typically yield sharp distributional effects: income losses by certain groups of producers or worker categories are the flip side of the “gains from trade.” And economists have long known that market failures – including poorly functioning labor markets, credit market imperfections, knowledge or environmental externalities, and monopolies – can interfere with reaping those gains.

They have also known that the economic benefits of trade agreements that reach beyond borders to shape domestic regulations – as with the tightening of patent rules or the harmonization of health and safety requirements – are fundamentally ambiguous.

Nonetheless, economists can be counted on to parrot the wonders of comparative advantage and free trade whenever trade agreements come up. They have consistently minimized distributional concerns, even though it is now clear that the distributional impact of, say, the North American Free Trade Agreement or China’s entry into the World Trade Organization were significant for the most directly affected communities in the United States. They have overstated the magnitude of aggregate gains from trade deals, though such gains have been relatively small since at least the 1990s. They have endorsed the propaganda portraying today’s trade deals as “free trade agreements,” even though Adam Smith and David Ricardo would turn over in their graves if they read the Trans-Pacific Partnership.

This reluctance to be honest about trade has cost economists their credibility with the public. Worse still, it has fed their opponents’ narrative. Economists’ failure to provide the full picture on trade, with all of the necessary distinctions and caveats, has made it easier to tar trade, often wrongly, with all sorts of ill effects.

Rodrick is absolutely right: mainstream economists’ own models include at least some of the losses from trade—in terms of outsourced jobs, declining wages, and rising inequality—but, in their textbooks and public interventions, they routinely ignore those uenqual costs and take the position that globalization and free trade need to be celebrated, protected, and expanded. Lest they create an opening for the “barbarians” who, inside and outside the academy, are critical of the conditions and consequences of capitalist globalization.

Those of us who have been critical of free-trade agreements and the whole panoply of policies associated with globalization and neoliberalism (e.g., here and here) understand they’re not the sole or even main cause for the deteriorating condition the U.S. working-class has found itself in recent years and decades. Neoliberalism is not just globalization, as it includes a wide range of economic and social strategies and institutions that have boosted the bargaining power of employers vis-à-vis workers—from the adoption of labor-saving technologies through the growth of the financial sector to the privatization of public services and the social safety net.

But we also can’t ignore the correlation, since the early-1970s, between globalization (measured, in the chart above, by the sum of exports and imports as a percentage of U.S. GDP, which is the green line on the right-hand axis) and inequality (measured, in the same chart, by the percentage of income, including capital gains, going to the top 1 percent, on the left-hand axis). There are lots of economists, both everyday and academic, who understand that a tiny group at the top has captured most of the benefits of trade agreements and other measures that have allowed U.S. corporations to engage in increased international trade, both importing and exporting commodities that have boosted their bottom-line. Meanwhile, many American workers—such as voters in Pennsylvania, Ohio, Michigan, and Wisconsin—have lost jobs, faced stagnating wages, and suffered as their local communities have deteriorated.

However, mainstream economists, in their zeal to push globalization forward, ignored those problems and concerns. They thus paved the way and deserve a large part of the blame for Trump’s victory.

 

*Readers need to keep in mind that, when Rodrick refers to economists, he’s actually referring only to mainstream economists (which is the only group he seems to recognize). Other, so-called heterodox economists have never been so sanguine about the effects of neoliberalism or capitalist globalization.

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The Department of Political Economy at the University of Sydney has posted the text of the talk I delivered at Gleebooks, 19 October 2016, as part of a “Class Acts in Political Economy” roundtable with Katherine Gibson and Adam David Morton.