The Mueller Report–Volume I

April 26, 2019

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Special Counsel Robert S. Mueller, III. Report on the Investigation into Russian Interference in the 2016 Presidential Election. The Washington Post. New York: Scribner, 2019.

Last week, the Department of Justice released a redacted version of the Mueller report on Russian interference in the 2016 election. The first volume addresses the activities of the Russians themselves and the question of whether the Trump Campaign conspired with them. The second volume addresses the behavior of Donald Trump and the question of whether it constituted obstruction of justice.

The two volumes reach very different conclusions. The first volume says that the evidence is insufficient to establish a conspiracy. The second volume says that substantial evidence exists to support obstruction, but that the Special Counsel cannot indict or even formally accuse the President of obstruction due to legal restrictions. I will address the latter issue in the next post.

Summary of Volume I

The Special Counsel concluded that while the Russians definitely interfered in the election, and while there were links between the Russian government and the Trump Campaign, the investigation could not establish any conspiracy to provide benefits to Russia in return for helping Trump get elected. Both sides expected to benefit, but they didn’t explicitly agree to do so. Here is the report’s summary:

As set forth in detail in this report, the Special Counsel’s investigation established that Russia interfered in the 2016 presidential election principally through two operations. First, a Russian entity carried out a social media campaign that favored presidential candidate Donald J. Trump and disparaged presidential candidate Hillary Clinton. Second, a Russian intelligence service conducted computer-intrusion operations against entities, employees, and volunteers working on the Clinton Campaign and then released stolen documents. The investigation also identified numerous links between the Russian government and the Trump Campaign. Although the investigation established that the Russian government perceived it would benefit from a Trump presidency and worked to secure that outcome, and that the Campaign expected it would benefit electorally from information stolen and released through Russian efforts, the investigation did not establish that members of the Trump Campaign conspired or coordinated with the Russian government in its election interference activities.

The Special Counsel qualified this conclusion in a couple of ways. The first is the traditional legal point that failing to prove something happened is not the same as proving it didn’t happen. “A statement that the investigation did not establish particular facts does not mean there was no evidence of those facts.” The second concerns the lack of cooperation the investigation received from certain key witnesses. “The investigation established that several individuals affiliated with the Trump Campaign lied to the Office [of Special Counsel], and to Congress, about their interactions with Russian-affiliated individuals and related matters. Those lies materially impaired the investigation….”

Coordination or co-branding?

As I thought about the possibility of election interference without a conspiracy, I realized how easy it is to accomplish such a thing in today’s political world. With today’s electronic communications, anyone can participate in an election campaign from a distance, even computer users in another country.

The Citizens United case in 2010 gave us a preview of what could happen, when the Supreme Court made a distinction between directly contributing to a campaign and just communicating positively or negatively about a candidate. The Court said that the latter is just constitutionally protected free speech, no matter how much money a corporation may spend on it. The “speech” at issue in that case was a film critical of–guess who–Hillary Clinton, which was aired just before the 2008 primary elections. The ruling led to the creation of many superpacs whose spending is largely unregulated because they are theoretically independent of the campaigns they support. With such entities hiding behind innocuous names like–well–Citizens United, what’s to stop more sinister organizations from participating too, even if their main objective is spreading disinformation, confusion and conflict?

Another problem is that the rapid pace of technological and cultural change has muddied our political waters and created new opportunities for political branding. For example, the Democratic Party used to be the party of labor, with labor unions as their organizational backbone. With manufacturing on the decline, and ethnic minorities and women on the ascendancy, many working-class voters have become uncertain in their loyalties. Also, politicians who care about the working class haven’t been sure what policies would actually help them. Party loyalty has declined; independent and disaffected voters abound; and opportunities exist for political outsiders to create new brands of politics.

The Trump brand

With voters not knowing what to think, and new media giving a voice to anyone who wants to tell them, a candidate like Donald Trump is well suited to the times. He is a man with no political experience and no consistent party affiliation, but someone very adept at self-branding. In recent years, he has been better at selling his brand name than actually building successful enterprises. By 2009, six of his hotels and casinos had gone bankrupt, and most banks were no longer willing to lend to him. Nevertheless, he continued building his image with the help of his reality TV show. He licensed his name to other developers, structuring the deals so that he made money whether or not the investors did. The Trump Campaign itself may have been a similar kind of operation, intended primarily to enhance the brand even if he lost the election (as many have reported he expected).

Trump’s political appeal rests mainly on a vague promise to “make America great again.” That seems to imply taking the country back to the good old mid-20th-century days when US manufacturing was the envy of the world, and American culture had yet to be transformed by civil rights legislation, 2nd-wave feminism, abortion rights, gay rights, environmental protection, and immigration reform that opened the country to non-European migrants.

His political proposals seem largely fanciful: building a wall between Mexico and the US that Mexico will pay for, dramatically upgrading infrastructure while cutting tax revenue, making great trade deals that will restore American manufacturing, addressing energy needs by relying more on fossil fuels, and replacing Obamacare with better health care at lower cost. Specific plans to accomplish these things rarely materialize, but he does go ahead and tear down what we have, such as environmental protections, laws governing asylum seekers, and the individual mandate in Obamacare, to name a few. Meanwhile, he deals with arguably the most serious crisis of our time–climate change–by declaring it a hoax and withdrawing from the international agreement to do anything about it.

If running for office is mainly a branding exercise divorced from reality, then a propaganda campaign in cyberspace is the perfect tool, whether it is coordinated with the candidate or not. You don’t need a quid-pro-quo; you just need to be on the same page. Flatter the candidate and trash the opposition.

The Russian brand

During the Cold War, the Soviet Union was clearly branded in the minds of most Americans. They were the godless communists, the totalitarian state, the aggressors imposing their system on other countries and threatening America with nuclear weapons.

The fall of the Soviet Union and the arrival of nominal democracy muddied those waters too. But after a short period of detente, along came Putin with his new oligarchy of crony capitalists and his new dreams of political expansion. In particular, Russia’s seizure of Crimea from Ukraine seriously damaged the Russian brand once more.

In the 2016 election, the Russians saw a choice between one candidate who as Secretary of State had been highly critical of Russia, and another who as a businessman had been trying to do business in Russia for a long time. Trump was also an admirer of authoritarian leaders in general and Putin in particular; or at least he was willing to cozy up to him in order to profit from the association. The investigation concluded that Trump continued to pursue a deal to build a Trump Tower in Moscow long into his election campaign, although he denied to the public that he had any connections, deals or prospective deals in Russia. His personal lawyer Michael Cohen also lied about the project to Congress, although the investigation did not establish that Trump had personally asked him to.

The Russians no doubt believed that they could refurbish their own brand by supporting Trump’s. But what did Trump do for them?

Trump’s support for Russia

While the report did not find direct collaboration between the Trump Campaign and Russia, it did find evidence of Trump’s moral support and approval of Russian activities.

Donald Trump Jr., Jared Kushner and Paul Manafort met in Trump Tower with Russians who offered to give them information damaging to Hillary Clinton, and who were seeking relief from Russian sanctions. In that instance, they were disappointed with what was offered and apparently did not pursue the matter further.

The Campaign was much happier with the damaging information obtained by Russian hackers and published through WikiLeaks. But even before that, “the Trump Campaign was planning a press strategy, a communications campaign, and messaging based on the possible release of Clinton emails by WikiLeaks.” Trump was very interested in obtaining emails deleted from Clinton’s private server (which may just have been private messages unrelated to official business). He publicly challenged the Russians to find them (“Russia, if you’re listening…”), and also tasked his subordinates with getting them one way or another. Conspiracy, maybe not, but common purpose, definitely. And some suspicions linger: Donald Trump Jr. was known to be in communication with WikiLeaks, which published some of the stolen data just hours after the Access Hollywood tape surfaced, in which Trump boasted of sexually aggressive behavior.

When the Russian hacking was exposed, Trump covered for the Russians by accepting Putin’s denials and declaring the entire investigation to be a hoax.

The Trump Campaign also gave some support to Russian claims in Ukraine. “During platform committee meetings immediately before the [Republican] Convention, J. D. Gordon, a senior Campaign advisor on policy and national security, diluted a proposed amendment to the Republican Party platform expressing support for providing ‘lethal’ assistance to Ukraine in response to Russian aggression.”

Paul Manafort, who was campaign chairman before his Russian connections were exposed, was a master of political branding worthy of Trump. He had worked for the pro-Russian regime in Ukraine, and also for the Russian oligarch Oleg Deripaska. “Deripaska used Manafort to install friendly political officials in countries where Deripaska had business interests.” Manafort was recommended to Trump by Roger Stone, who was both Trump’s long-time confidante and Manafort’s long-time partner, leaving us to wonder if Trump could have been in the dark about Manafort’s ties to Russia. Both before and after he worked for the campaign, Manafort communicated with his former employee, Konstantin Kilimnik, a Russian believed by the FBI to have ties with Russian intelligence, and for some unknown reason shared campaign polling data with him. Kilimnik was also pushing “a peace plan for Ukraine that Manafort acknowledged to the Special Counsel’s Office was a ‘backdoor’ way for Russia to control part of eastern Ukraine.” Because of Manafort’s evasiveness, the investigation was unable to determine how much the campaign or the President knew about the plan.

“And while Manafort denied that he spoke to members of the Trump Campaign or the new Administration about the peace plan, he lied to the Office and the grand jury about the peace plan and his meetings with Kilimnik, and his unreliability on this subject was among the reasons that the district judge found that he breached his cooperation agreement.

After the Obama administration imposed new sanctions on Russia in response to its election interference, Michael Flynn, who would become Trump’s national security adviser, contacted the Russian ambassador with the knowledge of members of the Trump transition team. He discussed the sanctions and discouraged the Russians from responding in kind.

When “Russian President Vladimir Putin announced that Russia would not take retaliatory measures in response to the sanctions at that time and would instead ‘plan . . . further steps to restore Russian-US relations based on the policies of the Trump Administration,’ …the President-Elect tweeted, ‘Great move on delay (by V. Putin) – I always knew he was very smart!'” Trump said that he had not directed Flynn to discuss sanctions with the ambassador, but then added, “it certainly would have been okay with me if he did. I would have directed him to do it if I thought he wasn’t doing it. I didn’t direct him, but I would have directed him because that’s his job.”

With or without a conspiracy, Donald Trump and Vladimir Putin have a co-branding relationship in which each boosts the image of the other, while tearing down their common enemy, Hillary Clinton. They are like two buddies in cyberspace who “like” each other even if they don’t directly interact. And by the way, when they did interact in Helsinki, Trump took the unprecedented step of meeting in private and keeping their conversations secret.

 


Our Loveless Politics

March 8, 2019

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Donald Trump’s marathon address at the Conservative Political Action Conference (CPAC) really brought it home to me: Our president is a narcissistic celebrity who craves the adulation of crowds in order to fill an emotional void. As David Brooks put it recently:

I often wonder who didn’t love Donald Trump. I often wonder who left an affection void that he has tried to fill by winning attention, which is not the same thing….

In turning himself into a brand he’s turned himself into a human shell, so brittle and gilded that there is no place for people close to him to attach. His desperate attempts to be loved have made him unable to receive love.

Imagine what your own life would be like if you had no love in it, if you were just using people and being used. Trump, personifying the worst elements in our culture, is like a providentially sent gong meant to wake us up and direct us toward a better path.

I don’t actually want to engage in too much psychoanalysis. I’m a sociologist, not a psychiatrist, and psychoanalysis from a distance is a questionable enterprise anyway.

But assuming that the numerous critiques along these lines have some validity, I want to ask a more political question. What does it say about the Republican base that they overwhelmingly support a president with such deficiencies?

Over the years, Trump has vacillated between the Democratic and Republican parties, having no deeper party affiliation than he has political or moral convictions. But I would argue that only the Republican party could nominate him and elect him president, although he did need some Democratic and independent votes to get him to his electoral college victory.

The emotional divide

Why don’t I believe that the Democrats could elect a Trump? For starters, today’s Democrats are the party that actually cares about the well-being of people and of nature. They are the party of human rights, and the dignity of labor, and aid to the poor, and universal health insurance, and protection of the environment. It became obvious to most Democrats early on that Donald Trump doesn’t give a hoot about such things. Democrats insist that their candidates share their deepest aspirations. That’s why it’s often been said that Democratic voters “fall in love,” while Republicans just “fall in line.” Democrats are the party of heart, which Republicans caricature when they attack them as “bleeding hearts,” military “doves”, advocates for the “nanny state,” or “soft on crime.”

No party is above criticism, of course, and the history of the Democratic party is replete with many forms of cruelty or corruption. One only has to think of racism in the Democratic “solid South” or machine politics in the big cities. Nevertheless, Democrats deserve a lot of credit for embracing recent idealistic movements such as civil rights, gender equality, environmentalism, consumer protection, and LGBTQ rights, as well as continuing their support for the struggling labor movement.

If in this era, Democrats have become the party of love and justice, what does that make Republicans, the party of hate and injustice? That would be unfair. At their best, Republicans have advocated a kind of “tough love,” challenging individuals to pull their own weight, earn whatever rewards they receive, and make it without expecting too much of government. If the playing field were level and the rewards forthcoming for those who worked hard, that wouldn’t be so bad.

But toward the end of the last century, the Republican party discovered that it could get votes by encouraging and supporting resistance to the new social movements. That has led Republicans to do some mean-spirited things, such as gut the Voting Rights Act and pass legislation designed to make it harder for the poor and minorities to vote. Around the same time, the mid-twentieth-century economic boom gave way to a period of slower economic growth and rising inequality. Under conditions of globalization and technological change, many businesses found that they could prosper while eliminating or exporting good jobs. A winning strategy for Republicans has been to protect economic elites from high taxes and regulation, while stoking popular fears of change. They warn that the immigrants and minorities are coming for your jobs; the government wants to raise your taxes; liberals want to take away your religious freedom (to discriminate against gay people); and so forth. Even before Trump, Republicans were encouraging a kind of zero-sum thinking that is the enemy of the American Dream. If the minorities, or liberated women, or environmentalists win, you lose.

A darker politics

Ronald Reagan was no liberal, but he at least had an optimistic vision of America. If everyone would pull their weight and rely less on government, we could all prosper together. Trump has completed the Republican transition to a darker, more pessimistic politics. He bases his appeal much more overtly on anger and hatred, carefully channeling it toward groups that are trying to overcome historical obstacles to advancement. He pretends to identify with the complaints of ordinary working people while continuing the policies that protect the wealthy, as well as advancing his own family’s economic interests at home and abroad.

Trump’s relationship with his adoring crowds is the latest incarnation of the odd relationship between the donor class and the Republican base. It is essentially a relationship between wealthy people who are indifferent to the plight of ordinary workers, and working-class whites fearful of cultural and economic change. I’m sure that the latter get some kind of emotional high when they’re chanting “Lock her up!” or “Build the wall!” But that is not the same as having leaders who really care about you and are designing policies to address your real problems. And surely there cannot be too much love lost between a politician who flouts the Ten Commandments and the evangelical Christians who are among the most reliable Republican voters. That’s a shallow transactional relationship if there ever was one.

No, today’s Republican coalition seems at most a loveless marriage of convenience for which a loveless president is well suited. How long can this marriage last?


Who Ya Callin’ Racist?

March 1, 2019

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Among Michael Cohen’s many accusations against President Trump at Wednesday’s House Oversight Committee hearing was an accusation of racism. He based this on Trump’s longstanding pattern of racist remarks, such as his claim that African Americans don’t vote for him because they’re “too stupid.” We have heard similar remarks in public. During the 2016 election campaign, House Speaker Paul Ryan called it a “textbook definition of a racist comment” when Trump said he couldn’t get a fair hearing in a civil case because the judge was of Mexican descent.

We already knew, of course, that Trump took the lead in spreading the unfounded rumor that Barack Obama was an illegitimate president born outside the United States. Most Americans have no difficulty seeing birtherism as a racially motivated campaign. Trump’s refusal to criticize white supremacist groups demonstrating in Charlottesville was another red flag, since passive acceptance of other people’s racism is part of the problem.

At the hearing, Republicans asked few questions and made little attempt to defend Trump on most of the charges, such as paying hush money and lying about it, or pursuing a huge real estate deal in Russia during the campaign and lying about it. The Republicans found themselves in the position of arguing that Cohen couldn’t be believed because of past lies, while supporting a president who told many of the same lies.

One Republican, however, Mark Meadows of North Carolina, took it upon himself to defend the president against the charge of racism. Trump cannot be a racist, you see, because here we have Lynne Patton, Trump’s African-American employee and family friend, who would never work for a racist. This prompted Michigan Democrat Rashida Tlaib to say that the “fact that someone would actually use a prop, a black woman, in this chamber, in this committee, is alone racist in itself.” This in turn produced an outraged reaction from Congressman Meadows, who demanded that Tlaib’s comments be stricken from the record.

Critics of racism do have a dilemma when confronting what they see as racist behavior, as well as feeble, clueless defenses of that behavior. It is part of the more general dilemma we face when reacting to bad behavior of any kind. We want to be judicious and open-minded in our response, leaving open the possibility that a particular act does not fully define a person. Faced with a thoughtlessly selfish act on the part of a child, a wise parent prefers to convey the message “You’re better than that” instead of “You’re an awful person.” Ironically, the entire debate over Cohen’s testimony depended on whether Cohen was rising above his former self or continuing a pattern of bad behavior. It was the Republicans who refused to give Cohen the benefit of any doubt, while expecting African Americans to give whites accused of racism the benefit of every doubt.

And so instead of an honest discussion of particular behaviors, we get exchanges of moral outrage: “Who ya callin’ a racist?” vs. “Why are you acting like one?” Meadows insisted that “there is not a racial bone in my body,” but the media quickly discovered that he too had called for voters to “send Barack Obama back to Kenya or wherever he’s from.” I hope he is better than that, but that doesn’t excuse his racial insensitivity when he displays it.

I’m glad that Mark Meadows and Rashida Tlaib hugged and made up yesterday. Wouldn’t it be even better if they–or any of us–could have a honest discussion of the attitudes and behaviors that have kept minorities and women in their place? And in the context of congressional oversight, can’t we have an honest examination of the president’s attitudes and behaviors toward people of color, unencumbered by outraged reactions against any accusation of racism?

 

 


Automation and New Tasks

February 22, 2019

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Daron Acemoglu and Pascual Restrepo, “Automation and New Tasks: The Implications of the Task Content of Production for Labor Demand.” Prepared for Journal of Economic Perspectives, November 6, 2018.

This paper really helped me think more systematically about the impact of automation on the demand for labor, something I’ve been thinking a lot about lately. My last post on the subject, which also featured a paper by Acemoglu and Restrepo, is here.

Technology and labor demand

One of the key issues is how to reconcile the recent concern that robotics will destroy too many good jobs with the traditional optimism of economists about the effects of technology. Throughout most of U.S. history, new technologies like farm machinery or industrial assembly lines have not stood in the way of economy-wide gains in labor demand, as reflected in real wages per capita. And yet, too many workers today are experiencing unemployment or wage loss because of automation. How do we sort this out in a way that enables us to anticipate where we may be headed and formulate sensible policy responses?

Acemoglu and Restrepo conceptualize the labor demand of an industry as a product of “value added” and “labor share”:

Labor demand = Value added x Labor share

Value added is an industry’s addition to economic output and income. Labor share is the portion of that added value that is received by labor. Labor demand is the resulting wages per capita.

The authors say that economists have primarily conceptualized technological progress as “factor-augmenting.” That is, new technologies increase the productivity of labor or machinery or both. More productive factors of production mean more value added. Assuming that labor’s share doesn’t decline, labor demand as reflected in real wages ought to increase. “Factor augmenting technologies affect labor demand mostly via the productivity effect and have a small impact on the labor share of an industry.” That was the experience, for example, of manufacturing industries in the mid-20th century.

However, an analysis that focuses on value added while holding labor share constant is not complete. Technological change can also effect how much labor is needed in a particular process of production, and how much of the income from that process goes to workers.

The task content of production

The authors’ key concept is the task content of production, which involves the allocation of tasks between labor and capital (the latter including machines and software). Focusing on the potential of new technologies to add value “often misses the major implications of technological changes that directly alter the allocation of tasks to factors.”

What makes the implications of automation hard to assess is that it has contradictory effects on labor demand–a productivity effect and a displacement effect. By raising productivity and increasing value added, it increases the potential income to be distributed to the human workers who remain. But by replacing labor with machinery, it reduces labor’s share of income. Whether wages actually rise or fall depends on the relative strength of the two effects.

To complicate things further, displaced labor does not necessarily go missing from an industry, let alone the economy as a whole. The introduction of new tasks for humans to do has a reinstatement effect that raises the labor share of production and therefore labor demand. (Personally, I’m not too fond of the term “reinstatement”, since it sounds as if workers are getting their old jobs back, which is not at all what is intended. I would prefer the term “redeployment”.) But whatever term is used, the point is important. As machines take over familiar tasks, humans can move into new economic activities where they have some advantage over machines, especially because of their general intelligence, flexibility and creativity. This has been true in the past, and how much it remains true in the robotic age is an important question for the future of work.

Labor demand in a multi-sector economy

When the authors move from discussing individual industries to discussing the entire economy, they introduce an additional effect on labor demand, the composition effect. This occurs when labor moves from one economic sector to another, and the sectors differ in labor demand. If workers move out of a sector where wages and labor’s share of added value are falling, and into a sector where they are higher, that contributes positively to labor demand.

The classic example of this process is the mechanization of agriculture, “which started in the first half of the 19th century with the cotton gin and continued with horse-powered reapers, harvesters and plows later in the century and with tractors and combine harvesters in the 20th century.” That process displaced massive amounts of farm labor and reduced labor’s share of agricultural activity and income. Much of that displaced labor went into manufacturing. Manufacturing was mechanizing too, but it maintained labor demand by increasing output and creating new manufacturing tasks. “The composition and reinstatement effects explain why, despite the mechanization of a sector making up a third of the economy [agriculture in 1850], labor demand increased and the share of labor in national income remained stable during this period.”

Labor demand 1947-1987

For two recent periods, Acemoglu and Restrepo analyze changes in labor demand, measuring the relative contributions of the effects they have discussed. They chart developments in six industries: agriculture, mining, manufacturing, construction, transportation and services.

The postwar era of 1947-1987 was a period of strong labor demand and rising real wages, which grew at an average rate of 2.4% per year.

Nothing comparable to the displacement of labor by the mechanization of agriculture occurred during this time. The only industries to suffer a loss of labor share were the relatively small industries of mining and transportation.

There was some displacement of labor due to automation in the large manufacturing industry, but it was offset by the creation of new manufacturing jobs, such as managerial and clerical jobs in corporate bureaucracies, as well as jobs in the expanding service industries. “[T]here was plenty of automation, especially in manufacturing, but this was accompanied with the introduction of new tasks (or other changes increasing the task content of production in favor of labor) in both manufacturing and the rest of the economy that offset the adverse labor demand consequences of automation.”

With displacements due to automation balanced by reinstatements due to the creation of new tasks, labor’s share of output and income remained steady. The increase in actual real wages that occurred is accounted for almost entirely by the other effect that supports labor demand, higher productivity. New technologies added value, and labor got its share of that added value in the form of higher real wages.

If technological change always worked that way, we wouldn’t be so worried about the future. But there was trouble ahead. In their data for those years, we can already see labor’s share within manufacturing peaking around 1980 and starting downward.

Labor demand 1987-2017

In this more recent period, wage growth was slower, averaging only 1.3% per year.

Labor demand suffered in both ways suggested by the same formula:

Labor demand = Value added x Labor share

Value added increased more slowly because of slower growth in productivity. In addition, labor’s share of value added declined in manufacturing, construction and mining. That was because labor displacement due to automation accelerated, while labor reinstatement due to new task creation slowed down.

Deeper explanations for these trends are harder to agree on. One puzzle is why the accelerating automation hasn’t done more to raise productivity. The authors point out that productivity gains from automation depend on the actual superiority of machines over humans for a given task. A rush to automate because a company gets caught up in a wave of technological enthusiasm or receives a tax break on new equipment may not be that helpful.

This analysis clarifies that automation will reduce labor demand when the productivity effect is not very large. Contrary to a common presumption in popular debates, it is not the “brilliant” automation technologies but those that are “so-so” and generate only small productivity improvements that will reduce labor demand. This is because the positive productivity effect of so-so technologies is not sufficient to offset the decline in labor demand due to displacement.

Favoring machines over human workers may also result in a lack of investment in education and training:

…[T]here may be a mismatch between the available skills of the workforce and the needs for new technologies, which could further reduce productivity gains from automation and hamper the introduction of new tasks—because the lack of requisite skills reduces the efficiency with which new technologies can be deployed.

The future of work

By considering a variety of things affecting labor demand, Acemoglu and Restrepo avoid a simple preoccupation with a positive factor like the productivity effect or a negative factor like the displacement effect. “Our evidence and conceptual approach support neither the claims that the end of human work is imminent nor the presumption that technological change will always and everywhere be favorable to labor.” It will be the balance of the various effects that will matter.

The authors don’t make specific policy recommendations, but some very general prescriptions follow from their analysis. We shouldn’t be afraid to automate tasks where machines have a clear advantage, since the gains in value added are too good to pass up. But we should also enhance the value of human labor, both by giving the workers who remain in automating industries their share of the gains, and also by investing in the education and training workers need to perform new tasks that humans can do better than machines. Where private employers don’t find it profitable to nurture and reward human labor, government must play a strong role for the general good.

As it stands now, too much displaced labor is crowding into low-skill, low-tech, low-wage work. That is a waste of both our human and technological resources. A jobless future where robots work, their owners get rich, and most people live off public assistance is also a dismal prospect. If we are to have a hi-tech economy, let it be one where the average worker can reap the benefits in creative work, good pay, and rewarding leisure.


Are We “Eating the Family Cow”?

January 25, 2019

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Peter Temin, “Finance in Economic Growth: Eating the Family Cow.” Institute for New Economic Thinking, Working Paper No. 86, December 17, 2018.

If you rely on the family cow for its milk (or income from selling the milk), it’s best not to eat the cow. That’s a commonsense basis for the economic idea that future income depends on capital assets. Taking it a step further, long-term economic growth depends on expanding capital assets.

In a manufacturing economy, seeing that expansion is fairly easy. We can see automobile manufacturers building more assembly lines and making more cars. The transition to a service economy has clouded our vision somewhat. Temin describes the new reality: “Agriculture, mining, construction and manufacturing occupied only one-quarter of the labor force in 1990 and fell below one-seventh in 2016. The rest of the labor force is working in services.”

In the service economy, expanding capital assets involves more than buying buildings or equipment. It involves such intangibles as financial assets, knowledge and intellectual property. But our national accounting system does not yet reflect that. The Bureau of Economic Analysis, which produces the National Income and Product Accounts (NIPA), acknowledges the problem: “While all countries account for investment in tangible assets in their gross domestic product (GDP) statistics, no country currently includes a comprehensive estimate of business investment in intangible assets in their official accounts.”

Temin says that this puts economists in the position of tackling 21st-century issues with data designed for the 20th century. “Students are told that the economy has de-industrialized, but they have not been made aware how the growing share of services makes the measurement of macroeconomic variables increasingly difficult.”

This might not be so much of a problem if intangible assets were expanding nicely right along with tangible assets. But Temin doesn’t think they are. His concern is that we may actually be consuming rather than expanding our most important intangible assets, putting our future economic growth at risk, but our national accounting system is not equipped to detect the problem:

Existing NIPA data fail to describe the future path of growth in our new economy because they lack output data on financial, human and social capital investments. They fail to show that the United States is consuming its capital stock now and will suffer later, rather like killing the family cow to have a steak dinner.

Investment in standard accounting

In standard national accounting, Investment (I) is one of the components of GDP, along with Consumption (C), Government spending (G) and Net Exports (NX). It is defined narrowly, however, as spending on plants, equipment and new inventory by firms, and real estate investments by households. It only includes real assets, not financial assets or human capital.

But aren’t you making an investment when you use surplus income to buy assets like stocks and bonds in a retirement account? We certainly do call it investing because the general idea is the same. Like a piece of machinery, a financial asset is a form of wealth that can produce future income. But unlike the machine, your retirement account is not necessarily making anything to add to the Gross Domestic Product. Your financial acquisitions are accounted for on the income side of the economy, as a form of Saving (S). Of course, if the company that issues stocks or bonds uses the money it receives to build a factory, then that does become an investment for purposes of the national accounts. That distinction makes sense, at least within the framework of a manufacturing economy.

Another exclusion from investment is education, although we may think of it as an investment in human capital. In standard accounting, an educational expense is part of Consumption (C) if made by a household, and part of Government spending (G) if made by a government.

The challenge of accounting for intangible investments

While many economists find it reasonable to talk about intangible investments, incorporating them into the national accounting is not easy. Not only are they inherently hard to measure, but sometimes they may seem downright illusory. We can walk into a factory and see what it produces, but how do we distinguish a service from a disservice, or a productive financial asset from a “toxic asset”? This section will focus on financial assets, but similar valuation problems emerge with other intangible assets as well.

If you are just saving for retirement, that “investment” may be reasonably distinguished from those that contribute to future production. On the other hand, that distinction may be harder to justify for a financial firm that acquires financial assets in the normal course of business.

Consider a bank that makes a profit by accepting deposits at low interest rates and making loans at higher rates. It is providing financial services such as facilitating home buying. If it uses some of its profits to expand its operations, surely it is expanding its income-producing assets and thus investing. In standard accounting, only the purchase of tangible assets such as new branch offices would count as investing, but shouldn’t the strengthening of its capital position also count? Doesn’t that also enable it to provide more services and generate more income?

Some economists have found it useful to expand the concepts of capital and investment to include all forms of wealth. That’s what Piketty was doing when he studied how the rich get richer. He concluded that a higher rate of return on capital relative to the rate of economic growth is associated with greater inequality. But that broad a definition of capital doesn’t work for all purposes. Some forms of wealth are clearly not capital in the sense of a “factor of production.” Collectibles like gold coins or art works don’t produce anything, and they may not even appreciate. Some financial assets fluctuate wildly in market value, and so their potential to generate income is hard to evaluate. If we are interested in productive financial assets, they are easier to talk about than to measure.

Perhaps the biggest problem involves assets so overvalued as to be dangerous. That was a huge problem leading up to the 2008 financial crisis. Lenders were making too many risky mortgage loans and selling them off to other financial institutions, which then packaged them as overrated investments to be bought by unsuspecting customers. Building more car factories obviously produces more goods for car buyers, but financial acquisitions don’t always provide more services for financial clients or income for owners. Temin quotes Simon Kuznets, who remarked in 1937, “It would be of great value to have national income estimates that would remove from the total the elements which. . .represent dis-service rather than service. Such estimates would subtract from the present national income. . .a great many of the expenses involved in financial and speculative activities.” Financial wheeling and dealing in the mortgage industry did a disservice to all kinds of people, from the borrowers who were encouraged to buy homes they couldn’t afford and then got foreclosed on, to the insurers who insured the overvalued bundles of mortgages and the investors who bought them. When the future income from the overvalued assets turned out to be illusory, the asset values collapsed and fortunes were lost.

The country has experienced a dramatic expansion of financial services, but we have no straightforward way of measuring the output of services, the increase in productive capital, or the contribution to long-term economic growth. Temin is among the skeptics who doubt that the accumulation of financial capital is doing as much for us as we think.

Investment in America: Tangible capital assets

We turn now to the question of how well the United States is investing in its economic future. We’ll start with investment in tangible capital assets as revealed by standard accounting, and then turn to the more challenging question of intangibles.

Temin refers to private fixed investments as “Keynesian” because of the roots of that concept in Keynesian macroeconomics. He says that “no one disputes the low level of Keynesian investment in recent years.” Here I’m also going to quote myself, since I commented on this investment situation in my recent post on “Forty Years of Reaganomics“:

Another goal of Reaganomics was to increase saving and private sector investment. Tax cuts would give people more money to save as well as consume, and strong consumer demand would encourage the investment of those savings in business expansion. Economic growth should remain strong, since the rising investment component of GDP would offset the falling government component.
. . . .
I do not see in the macroeconomic indicators a surge of saving or investment since 1980. Before then, saving was running at about 19-22% of national income, while investment was in the range of 16-18% of GDP. Reaganomics got off to an auspicious start, with saving up to almost 23% and investment up to 20% by the end of Reagan’s first term. But since then, saving and investment have generally been no higher than they were before. Saving is now at 19% of GNI, and investment is at 17% [of GDP].

The results are even more disappointing if one considers the tangible investments that are made by government and accounted for within government spending. The U.S. continues to neglect its aging infrastructure, allowing its roads, bridges and transit systems to deteriorate. Failure to mitigate the effects of climate change will damage our infrastructure as well, creating a further drag on economic growth.

Investment in America: Financial capital assets

If we could consider intangible assets along with other forms of productive capital, would that brighten or darken our picture of investment and future growth? Temin believes that we are reducing rather than increasing our stock of productive intangible assets. Here we are not so much investing as disinvesting.

In public finance, tax cuts have damaged the federal government’s financial position, creating a larger liability in the form of the national debt. That will probably inhibit the government’s future ability to contribute to GDP with spending on public goods and services.

In private finance, expansion of the financial services industry appears to be producing diminishing returns. Temin cites cross-national research showing that a growing financial sector contributes to economic growth only up to a point, but tends to reduce growth once it becomes too large. This implies that too little of that sector’s capital is being put to productive use.

Temin’s prime example of the wasteful use of capital is private equity firms:

Private equity firms have grown in recent decades to raise capital from wealthy individuals and institutions to make risky investments that promise high returns. Private equity firms buy companies and use high leverage to make these high returns. The debts, which have fixed interest payments, provide high returns on the capital invested by rich investors since all the profits go to them. And if the company fails, the debts default and investors walk away without loss. Society picks up the tab.

Brian Alexander’s Glass House told the story of the destructive effects of private equity firms on the economy of Lancaster, Ohio. I concluded my review of the book by linking the wasteful use of capital with economic inequality:

The wealthy minority have a lot of capital available to invest. But very weak income growth for the majority limits their ability to spend on new products. Under those conditions, it is not surprising that a lot of capital would go to buy existing enterprises rather than create new ones; nor is it surprising that cost-cutting rather than expansion of production would be a favored route to profit. If this strategy works to make the 1% richer despite hollowing out the middle class, that only reinforces the inequality and sluggish growth, creating a vicious cycle.

Temin’s conclusion is similar: “Recent research finds that finance has grown to the point where it no longer continues to benefit the entire economy, but it instead increases the incomes of the richest Americans at the expense of everyone else.”

Investment in America: Human and social capital

Research on human capital has focused primarily on education.

Macroeconomic thinkers say that education is the key to national success in the world where developing countries like China and Japan challenge the United States’ economic leadership. Letting our human capital decay may be the most important problem for future generations.

Here the picture is also discouraging: States have been cutting support for public universities; teacher pay has been declining relative to other jobs; and “the first education budget of the new administration in 2017. . .cut over ten billion dollars from federal education initiatives. . . .”

With regard to social capital, Temin thinks of it as “a new name for the old idea of community. . . .” Like other intangible assets, “no way has been found to include it in GDP.” But strong communities support economic productivity in many subtle ways. People with strong support groups make better, more productive workers.

An example of how social policy can strengthen or weaken community is the rate of incarceration. Locking criminals up protects the community, but locking too many people up for doing too little undermines community. “Young, poor and dominantly minority men and (to a lesser extent) women cycle through jails, prisons and then back into the community. They disrupt families, weaken social networks and other forms of social support, putting children at risk and promoting delinquency.”

Temin also cites Pearlstein and Wu’s critique of the brand of capitalism promoted by business schools and the business community in recent years. The pursuit of economic efficiency to the exclusion of other goals can also weaken community “by undermining trust and discouraging socially cooperative behavior.”

Temin states his general conclusion this way:

The evidence shown here reveals that we are investing less than before in Keynesian investment of private fixed assets and dis-investing other forms of capital. Financial investment is negative due to rapidly rising government debt and private financial investments that redistribute income toward the top end of the income distribution. Investments in human and social capital–both outside the BEA’s methodology–clearly are negative.

This is a bold thesis. However, the very fact that current accounting practices do not allow us to measure intangible investment with any precision limits our ability to test it. Temin relies on selected studies using unconventional data and impressionistic evidence to make his case, and I think his argument has merit. But economists have their work cut out for them if they are to achieve a comprehensive and realistic assessment of the nation’s investments in its economic future.