Thursday, January 26, 2017

Lane Kenworthy: Why the surge in income inequality

    Income inequality is more severe in the United States than in any other affluent longstanding-democratic country, and it has increased sharply in the past generation. The rise in inequality is mainly a story of growing separation between households in the top 1 percent and those in the "bottom" 99 percent. Income inequality within the lower 99 percent increased in the 1980s and 1990s, but since then it hasn't changed much.

    A common measure of top-end income inequality is the share of income that goes to the top 1 percent of households. According to the World Wealth and Income Database (Alvaredo et al. 2016), the top 1 percent's share of pretax income increased from 18 percent in 1913, the first year of available data, to 24 percent in 1928. It then fell sharply during the Great Depression and World War II to 13 percent in 1945. Between 1945 and the end of the 1970s it continued to decrease, slowly but steadily, reaching 10 percent in 1979. By 2014 it had jumped to 21 percent. For the period since 1979, the Congressional Budget Office (2016) has compiled estimates of the top 1 percent's share of posttax income (that is, with tax payments subtracted from income), and the upward trend is similar.

    The United States isn't the only rich democratic nation to have experienced rising top-end income inequality since the late 1970s. The top 1 percent's income share has risen sharply in the United Kingdom, Canada, Ireland, and South Korea too, though not quite as rapidly as in the U.S. Many other nations have had more modest increases. Some, such as Denmark, France, Japan, the Netherlands, Spain, and Switzerland, have seen little or no increase.

    A significant part of our surge in top-end inequality owes to a subset of the top 1 percent. There are about 120 million households in the United States, so the top 1 percent are approximately 1.2 million. According to the World Wealth and Income Database, among the 600,000 or so that constitute the lower half of the top 1 percent, average pretax income roughly doubled between 1979 and 2014, from $275,000 to $500,000. Among the 12,000 households that make up the top 0.01 percent, average income quadrupled during those years, from $7 million to $29 million.

    Of income earners in the top 1 percent, about one in three are executives, managers, or supervisors, and one in ten are in financial professions. These two groups account for about half of the income share of the top 1 percent and nearly two-thirds of the increase in that share since the late 1970s (Bakija, Cole, and Heim 2012). Unlike in the 1920s, most of their income comes from compensation—salaries, bonuses, fees, stock options, stock awards, golden parachutes—rather than from assets they own (Saez 2015).

    The rise in the top 1 percent's income share is one of the most striking developments in the United States in the past generation. It raises obvious questions of justice, particularly in an era of economic insecurity and slow income growth for many ordinary Americans. In addition, according to Richard Wilkinson and Kate Pickett's The Spirit Level, Joseph Stiglitz's The Price of Inequality, and Göran Therborn's The Killing Fields of Inequality, high levels or sharp increases in income inequality may have harmful effects on other things we value, such as economic growth, health, happiness, and democracy.

    What has caused the surge in top-end income inequality? Is it a product of changes in the economy? Or, as Paul Krugman's The Conscience of a Liberal and Jacob Hacker and Paul Pierson's Winner-Take-All Politics contend, have the key shifts been in America's politics and policies?

    Explanations of rising income inequality often begin with education. In The Race between Education and Technology, Claudia Goldin and Lawrence Katz describe how educational attainment in the United States increased steadily from the late 1800s through the 1960s. But then the pace of advance slowed, and as it did, the "college pay premium"—the ratio of the earnings of persons with a four-year college degree to the earnings of those without—began to rise.

    Goldin and Katz aim to explain developments in income inequality within the bottom 99 percent, and patterns of educational attainment are surely helpful for that purpose. But they can't tell us much about why the top 1 percent's incomes have separated from everyone else in recent decades becauseAmericans in the top 1 percent aren't better educated than those just below them.

    That also holds for some other factors commonly invoked in explanations of rising income inequality. High earners more commonly couple with other high earners today than in former generations, but this doesn't distinguish the top 1 percent from the rest of the top 10 or 20 percent of households. Manufacturing employment has declined, the statutory minimum wage has been flat, and unskilled immigration has risen sharply, but these are more likely to have contributed to rising inequality between the middle and the bottom than between the top and everyone else.

    In the 1950s, the consumers for America's most popular sports team, the New York Yankees, were primarily people who lived in New York and purchased tickets to see the team play in person. Today, top teams in many sports can be watched by people all over the world via television. The TV contracts, along with sales of team jerseys, hats, and other paraphernalia, have massively increased those teams' revenues. The same is true for movies, pop music, and fiction books. This in turn has led to huge pay increases for recognizable sports and entertainment stars. People in Shanghai and Sao Paulo are more likely to watch a professional basketball game or a Hollywood movie if LeBron James or Tom Hanks is in it. Technological advance, globalization, and name recognition have produced large increases in revenues, and this translates into big payoffs for superstars.

    A related logic applies to the financial sector. Computerization and modern communications technology have enabled a big expansion in the volume of trades, as well as creation of new financial tools and instruments (leveraged buyouts, junk bonds, home equity loans, subprime mortgages, derivatives, collateralized debt obligations, credit default swaps). These in turn have increased the volume of fees earned by large financial firms, which has made it possible for these companies to handsomely reward their top creators, analysts, deal makers, and traders. At the summit, a superstar investor can set up a hedge fund, attract tens of billions of dollars of investment, and charge a yearly management fee of, say, 3 percent of the fund's asset value ($30 million for a fund with assets of $10 billion) in addition to pocketing a share of the returns.

    Yet beyond sports, entertainment, and finance, growth in product market size probably can't account for much of the rise in top-end income inequality. Technological improvements—large shipping containers, lighter and stronger packaging materials, computerized logistics management, the internet, and more—have helped to globalize markets, boosting their size significantly. But they've also brought heightened competition. American companies now face foreign competitors not only abroad but also here in the domestic market. Barriers to entry by new competitors have fallen too, as venture capital firms ease access to financing and the information and communications revolution enhances the ability of start-ups to join and utilize global supply chains. As Robert Reich notes in Supercapitalism, the rate at which firms disappeared from the Fortune 500 accelerated sharply in the 1970s and 1980s.

    Also problematic for the product market size explanation of rising top-end income inequality is the fact that many successful American companies enjoyed soaring revenues in the early post-World War II decades, before the technology-spurred globalization of product markets. At Coca-Cola, for instance, revenues rose from $2 billion in 1955 to $13 billion in 1979, then to $26 billion in 2005. The story is similar for General Motors, Procter and Gamble, and many others. Yet compensation increases for CEOs (chief executive officers) and other high-level executives were modest during the former period, then huge during the latter.

    In the mid-to-late 1970s, higher-ups in large American firms began to change their perceptions of the core mission of the firm, of whom its most valuable members are, and of how to compensate them. This shift had a number of elements.

    During the "golden age" of post-World War II capitalism, boards of directors of large publicly owned corporations saw the firm's mission as increasing market share, revenues, and profits. Profits were invested in research or equipment, passed on to employees in the form of wage increases and new hires, or distributed to shareholders as dividends. Beginning in the late 1970s, this orientation was replaced by the notion that the principal aim should be to maximize "shareholder value" by increasing the firm's stock price. The shift was spurred by Michael Jensen and William Meckling's "Theory of the Firm" article, published in 1976 and widely embraced in business schools, and by the growing importance of large institutional investors such as pension funds and mutual funds.

    Wanting to maximize gains for shareholders doesn't automatically entail offering large compensation to high-level executives, but it just so happened that around the same time corporate boards began to view top executives, and in particular the CEO, as the key to lifting the firm's share price. There were a number of reasons for this.

    Globalization increased the number of competitors large American companies faced, making the firm's environment seem more precarious and unstable. Competition also rose significantly in industries with purely domestic firms. In retail sales, for instance, Sears, JC Penney, and countless small "mom and pop" stores around the country were now confronted by Walmart, a hyperefficient and rapidly expanding behemoth.

    Firms also faced a new and growing threat of external takeover. As Reich points out in Saving Capitalism, whereas in the 1970s there were just a dozen hostile takeovers of American firms valued at more than $1 billion, in the 1980s there were 150. Corporate executives now had to worry not only about running the company effectively, battling competitors, and boosting revenues and market share. They also had to fend off takeover attempts. This is no simple task, and board members, many of whom are themselves high-level executives, tend to be sympathetic to the challenge. The takeover threat eased a bit in the 1990s but then took off again in the 2000s as private equity firms, hedge funds, and shareholder activists initiated a new round of buyouts and mergers.

    The 1980s also ushered in a new appreciation of the influence of leaders. Lee Iacocca, the former Ford executive, was CEO of Chrysler as it emerged from bankruptcy in the late 1970s to become profitable and competitive in the 1980s. Though this may have owed largely to the fact that Chrysler had stumbled onto what was to become a hugely popular new type of car, the minivan, the company's success accentuated the emerging cult of the superstar CEO. Other successful CEOs—Bill Gates at Microsoft, Steve Jobs at Apple, Lou Gerstner at IBM—seemed further proof that the key to driving up the firm's share price is having the right person at the helm.

    Prior to the 1980s it was common for large American firms to hire for top executive positions mainly from within. This meant budding executives had a financial incentive to stay put, and it meant they had limited ability to decamp if they wished to. In the 1980s that norm evaporated, probably pushed along by a similar development in sports (baseball free agency began in 1976) and entertainment. The ability of top executives to move among firms increased their leverage in negotiating salaries, bonuses, and stock options.

    As firms increasingly hired CEOs and other high-level executives from a pool that included outsiders, and as large compensation packages became the norm, boards of directors turned to compensation consultants for information about whom to hire and how much to pay them. This has created a benchmarking and leapfrogging process whereby newly hired executives insist on compensation slightly above most of their peers, some are granted this demand, and the norm shifts steadily upward (DiPrete, Eirich, and Pittinsky 2010).

    An additional piece of the corporate governance story is the coziness between top executives and the boards of directors who decide on their compensation packages. Many members of these boards are in effect handpicked by the CEO and then approved by shareholders who have little information and limited interest in the details of a company's governance. Some board members are executives within the firm itself, and others are top executives at other publicly owned companies. They thus have a direct interest in seeing executive compensation levels rise. In addition, some know each other personally and hence are more likely to vote for a generous pay package.

    In 1993, the Clinton administration and Congress ruled that a publicly traded corporation can deduct executive compensation from its taxable income only if that compensation is tied to the firm's performance. As a result, more and more of executive compensation began to come in the form of stock options—shares in the firm that can be sold after a specified number of years. As the stock market soared, the payoff from stock options turned out to be enormous (Murphy 2013).

    Executives also discovered a way to help temporarily boost their company's stock price when it came time to cash in their stock options: stock buybacks. Purchasing shares of the firm's own stock drives up the price of the stock. It also increases the firm's earnings per share (by reducing the denominator), a metric investment analysts use in judging a firm's performance. Between 2003 and 2012, firms listed on the Standard & Poor's (S&P) 500 index used, on average, 54 percent of their earnings to buy back their own stock (Lazonick 2014).

    Because the corporate governance explanation has a number of components, it is difficult to quantify in a way that allows statistical testing. The explanation works well in terms of timing in the U.S. case; most of its components are coincident with the rise in executive compensation and in the top 1 percent's income share. It also seemingly works well in helping us understand country differences. In other rich nations, the shareholder value revolution, CEO free agency, and compensation via stock options either didn't occur at all or happened later than inthe United States. And a number of European countries have institutions—strong unions and employee election of some members of the board of directors—that are likely to obstruct sentiment among corporate boards in favor of huge executive compensation packages.

    On the other hand, compensation at thetop has risen sharply in a number of occupations—not just among executives in publicly traded firms but also among their counterparts in privately owned companies and among financial professionals, partners in large law firms, and top physicians, athletes, and entertainers (Kaplan and Rauh 2013). So corporate governance shifts can take us only part of the way in explaining the rising income share of America's top 1 percent.

    Two recent books—Joseph Stiglitz's Rewriting the Rules of the American Economy and Robert Reich's Saving Capitalism—argue that the market power of large firms accounts for a significant share of the growth in top-end income inequality in the United States. Firms with a dominant position in their product market can deter potential entrants, weaken existing competitors, and extract more revenue from customers. They then pass on the resulting above-market profits, or "rents," to their top executives.

    In Stiglitz's telling, this process began with government deregulation of key industries such as airlines and railroads in the 1970s, eventually extending to telecommunications, finance, and other industries. Economists and policy-makers embraced the notion that ensuring competition via government oversight and regulation was unnecessary, even counterproductive. Markets, according to the new perspective, would ensure ample competition if left alone, particularly in an age of rapid technological advance and globalization.

    Instead, in industry after industry, we've gotten the opposite—weaker competition, more firms with a monopoly or quasi-monopoly position, less pressure for productivity improvement, more rent-seeking. Patent and copyright protections give pharmaceutical firms and software developers exclusive access to revenues from a new innovation. Tech titans benefit when their service or platform becomes an industry standard—think Microsoft, Apple, Google, Facebook, and Amazon. According to Reich, America's large banks and other Wall Street firms have colluded to enlarge their profits by driving down the price of corporate takeover targets, influencing the setting of interest rates, engaging in insider trading, and more. Large firms also use their resources to lobby for regulations that further advantage them vis-à-vis competitors, with cable providers securing local monopoly rights being only the most visible example.

    Yet while market dominance matters for some firms, this explanation can take us only so far. We observe sharp increases in the compensation of CEOs and other high-level executives across a wide range of industries. In how many of them is the power of the largest firms greater now than in the 1950s and 1960s, when there was less domestic competition and little globalization? Neither Stiglitz nor Reich addresses this question. Interestingly, the emphasis on large firm market power and monopoly position is contrary to what Reich himself described in his 2007 book, Supercapitalism, which emphasized the increase in competitive pressure faced by American firms.

    Over the past century, the financial sector's share of America's GDP has correlated fairly strongly with the top 1 percent's share of income; it was high in the 1920s, then lower for about 50 years, then high again since the late 1970s. Financial firms' revenues have grown in recent decades, and the salaries and bonuses of top financial managers, traders, and analysts have risen sharply. The amounts for some, particularly hedge fund managers, are staggering. Moreover, many large nonfinancial companies have added financial operations such as loans and credit cards on top of their core business.

    The expansion of finance has multiple causes. Globalization, the emergence of large institutional investors, advances in computing and telecommunications, the creation of new financial instruments, and reductions in regulatory constraints have allowed financial companies to draw on larger pools of funds and to channel those funds into a wider array of investments. The growing size of large financial firms has allowed them to seek more risky investments. This has been accentuated by the expectation of a government bailout should too many of those bets go sour, on the grounds that a bankruptcy by one or more such firms would create toomuch uncertainty in global financial markets. Nonfinancial companies, struggling in a more competitive global economy and facing investor demands for strong short-term profit performance, have turned to financial operations to shore up revenues and profits.

    Finance clearly has contributed to America's top-heavy increase in income inequality (Philippon and Reshef 2013Tomaskovic-Devey and Lin 2013Flaherty 2015). It too, however, is only part of the story. Financial professionals get one-seventh of the top 1 percent's income, and they account for about one-quarter of the rise in its income share (Bakija et al. 2012). The financial sector's share of income actually has been rising since the 1950s, whereas the top 1 percent's income share only began to increase around 1980. And if we look across countries, we find a number of anomalies. For instance, the Netherlands and Japan look similar to the United States in over-time trends in financial regulation, in finance's share of income or value-added, and in financial-sector wages relative to wages in nonfinancial sectors, yet they are among the rich countries in which the top 1 percent's share of income has risen the least over the past generation.

    An important but little-commented-upon part of the story of rising top-end income inequality in the United States is the rise in stock prices. The S&P 500 is a common measure of stock-market values. Over the six decades since the mid-1950s, the correlation between the inflation-adjusted value of the S&P 500 and the top 1 percent's income share is +0.92. Both were flat through the late 1970s and then shot up.

    As I noted earlier, most of the income gains for America's top 1 percent have come fromincreases in compensation rather than in capital income. Yet a lot of the movement in compensation over time is tied to the stock market. A large portion of the mammoth compensation increases for high-level executives in big firms has come in the form of stock options, which hinge on increases in the share price of the executive's firm. A key part of the rise in pay for financial professionals is linked to trading in stocks and related financial instruments, which tends to increase when stocks' values rise.

    The growth of incomes among the top 1 percent also fuels rising stock values. The rich tend to save and invest a larger portion of their income than do middle-class and poor households, so as the incomes of those at the top soar, more money will go toward purchase of stocks, increasing the demand for them and hence their price.

    When we turn to other rich nations, stock values aren't always helpful in accounting for changes in top-end income inequality. In a handful of countries, the over-time correlation is as strong as in the United States. In others, though, it is weak or nonexistent.

    Where unions exist and are sufficiently strong, they can force firms to distribute more of the profits to ordinary workers and less to top executives. Computers, robots, the ability to move to another state or country, immigration, high unemployment rates, and other developments have increased employers' leverage vis-à-vis workers, and in this context union strength is likely to be especially critical. Unions also can affect income inequality via a political channel, by pressuring policy-makers and influencing election outcomes.

    The unionization rate in the United States has declined sharply during the period of rising top-end income inequality, falling from 23 percent in 1979 to 10 percent in 2014. Then again, the drop in unionization began in the 1950s, and the decrease in the 1950s, 1960s, and 1970s was comparable to what has happened since.

    Cross-county comparison suggests that union strength has mattered for income inequality. The contrast between the United States and Canada is illustrative. Canada's unionization rate has remained fairly constant over the past generation, and the top 1 percent's income share in Canada has risen only half as much as in the U.S. Several recent quantitative studies that examine developments over the past generation in the United States alone or in the U.S. along with other affluent democracies have found unionization to be one of the best predictors of variation in top-end income inequality (Volscho and Kelley 2013Jaumotte and Buitron 2015Huber, Huo, and Stephens 2015).

    In this instance, however, the best predictor isn't an especially good predictor. The only one of these studies that provides information needed to gauge the magnitude of unions' impact has it predicting a rise in the top 1 percent's income share in the United States of 0.5 percentage points. The actual rise was 10 percentage points.

    Analyses of the impact of taxes on income inequality typically focus on how a progressive tax system reduces the share of income that goes to the rich, and accounts of the rise of top-end inequality in the United States often point to the Reagan and (George W.) Bush tax cuts as key contributors. However, the best estimates we have of the top 1 percent's posttax income share, from the Congressional Budget Office, suggest that those tax cuts didn't in fact do much to change the picture. And tax changes during the Obama presidency have brought the effective federal tax rate (taxes paid as a share of pretax income) on the top 1 percent back up to the level it was at in 1979.

    Taxes may have a larger influence on the pretax distribution of income. Two recent books—Thomas Piketty's Capital in the Twenty-First Century and Kenneth Scheve and David Stasavage's Taxing the Rich—suggest that when top statutory income tax rates are lower, people and households at the top have greater incentive to try to maximize their income. They may do so by working harder or smarter, or perhaps by grabbing more "rent."

    In the United States, the top statutory federal income tax rate and the top 1 percent's share of pretax income have indeed tended to move in opposite directions over time. In the 1920s the top tax rate decreased and the top 1 percent's income share shot up. The top tax rate rose sharply between 1929 and 1945, and the top 1 percent's income share fell sharply. From 1979 to 2007, the top tax rate decreased a good bit and the top 1 percent's income share jumped.

    However, there are notable exceptions. The 1963 Kennedy tax reform reduced the top statutory tax rate from 90 to 70 percent, yet the top 1 percent's pretax income share continued its slow, steady post-World War II decline. In the early 1990s the (first) Bush administration and the Clinton administration increased the top tax rate from 28 to 40 percent, yet the top 1 percent's income share continued its sharp post-1979 rise. Carola Frydman and Raven Molloy (2011) have looked closely at whether compensation for top executives in large U.S. firms changes in response to shifts in top statutory tax rates. Drawing on data going back to the 1940s, they find no noteworthy correlation between top tax rates and executive compensation.

    What does the experience of other countries suggest? Data are available for most of the rich longstanding democracies since the mid-1970s. In some of them—Australia, Canada, Ireland, New Zealand, Norway, Portugal, and the United Kingdom, along with the United States—we observe the predicted increase in the top 1 percent's income share when the top statutory tax rate decreases. But in others—Denmark, France, Italy, Japan, the Netherlands, Spain, and Sweden—we don't.

    All of these countries reduced top income tax rates during this period, but they differed significantly in the degree of reduction. Didthe nations with larger decreases in top tax rates experience larger increases in their top 1 percent's income share? Yes, butthe correlation isn't especially strong (Kenworthy 2016b). Particularly noteworthy is that four English-speaking countries—the United States, the United Kingdom, Canada, and Australia—are among those with the largest increase in the top 1 percent's income share even though only one of them, theUnited States, enacted very large tax-rate reductions.

    Why isn't the association stronger? Part of the reason is that hiding behind statutory tax rates are an assortment of loopholes, deductions, and "tax expenditures." These reduce the effective tax rate on persons or households with high incomes by shielding some, potentially much, of their pretax income from taxation. Warren Buffett's famous discovery that he pays a lower effective federal income tax rate than his office staff illustrates the point. Moreover, different parts of high incomes—salary, business income, capital gains—may be taxed at different rates.

    Researchers tend to search for a dominant cause. We want to identify the most important determinant, partly because finding one reduces complexity and partly because it implies a straightforward solution to the problem. Much of the research on the rise of top-end income inequality has proceeded in this vein, with analysts focusing on one or another hypothesized cause and frequently concluding that it is indeed the key contributor. I don't think any such conclusion is justified. The rise in the top 1 percent's income share since the late 1970s is a product of multiple developments—growth in product market size, shifts in corporate governance, increases in the market power of some large firms, financialization, soaring stock values, union decline, and reductions in top tax rates—no one or two or even three of which look to have been dominant or decisive.

    To some degree it's pure historical coincidence that these developments occurred around the same time. But they also reinforced and accentuated one another.

    Is the origin of these developments mostly economic or mostly political? Are they, in other words, a product of markets or a product of policy? My answer is: both. Deregulation, tax cuts at the top, the 1993 cap on deductibility of non-performance-related executive compensation, lack of support for labor unions, and other policy actions and inactions have played an important role. But so too have technological advances, the expansion of markets, changes in corporate culture, and other economic developments. And even where policy has mattered, it hasn't necessarily been decisive. Deregulation of finance is a prominent culprit in many accounts of rising income inequality, yet nearly all affluent nations had deregulated their financial sectors as much as the United States by the early 1990s, with many experiencing nothing like our surge in top-end income inequality. And unions have weakened not only here in the Unites States, but in many other affluent countries, some of which have a much less hostile legal climate.

    Just as there is no single dominant cause of the rise in top-end income inequality, there is unlikely to be a silver bullet when it comes to solutions. Here Anthony Atkinson's Inequality: What Can Be Done? is helpful, offering a menu of reasonable and practical proposals for policy steps, from higher tax rates on top incomes to guaranteed employment to more generous government benefits and much more. If fully implemented, Atkinson's slate of recommendations might well take us a significant part of the way toward reversing the past generation's shift in favor of the top 1 percent.

    How vital is it to achieve that? While hypotheses about income inequality's harmful effects on other social, economic, and political outcomes abound, supportive evidence is sparse (Kenworthy 2016a). For some of these outcomes, perhaps many, policy changes that aim to improve outcomes directly, rather than indirectly via income inequality reduction, may be a better approach. There is, arguably, a strong case for attempting to reduce top-end income inequality on fairness grounds alone. But even this is subject to caveat, for a variety of policy reforms that would enhance societal fairness, from early education to fully universal health insurance to affordable housing and college, could be achieved with little or no shift in the distribution of income. Income inequality ought to be on the list of problems in need of attention from American policy-makers, but it isn't clear that it should be at the top of the list.

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    Backgrounder: What Is a Health Savings Account?
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    Leading Republican alternatives to the Affordable Care Act (ACA) rely on Health Savings Accounts (HSAs).

    We've created a backgrounder to explain how HSAs work under current law, and why they will do little or nothing to help the uninsured afford coverage but offer high-income people lucrative tax-sheltering opportunities.


     -- via my feedly newsfeed

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    New Urban Institute state fact sheets describe the nearly 30 million adults and children who would lose coverage in each state by 2019 if the new Republican majority repeals the Affordable Care Act (ACA) — with details by income, age, employment status, race, and education.


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    Down the rabbit hole: Will Trump team try to undermine official unemployment numbers? by Julia Horowitz @juliakhorowitz





    White House press secretary Sean Spicer sidestepped a simple question about the national unemployment rate. Trump's nominee to run the Labor Department has written that the government should ditch the figure because it's "misleading."

    And Trump himself has said the unemployment rate is a hoax, even claiming once that he had "heard" it could be as high as 42%. It was a hair over 5% at the time.


    Economists find this pattern concerning. For decades, the unemployment rate has been one of the basic barometers by which America's economy is judged. While no single metric is infallible, economists say, the unemployment rate does a pretty good job.

    And they say trying to delegitimize it would be bad news.

    "I think it's very, very dangerous. The Bureau of Labor Statistics does an excellent job," said Bill Rodgers, a professor at Rutgers' Center for Workforce Development and chief economist for the Labor Department from 2000 to 2001.

    Bob Murphy, a White House economist under former President Bill Clinton who teaches at Boston College, said the process and statistical analysis that go into producing the unemployment rate are "rock solid."

    When Spicer was asked to provide the national unemployment rate at Monday's briefing, he skirted the question -- and wouldn't say an official number for the record.

    "Too often in Washington we get our heads wrapped around a number and a statistic," Spicer said. "And we ... forget the faces and the families and the businesses that are behind those numbers."

    The president, he said, is "not focused on statistics as much as he is on whether or not the American people are doing better as a whole."

    Related: Truth about Trump's claim that 94 million aren't working

    Steven Mnuchin, Trump's pick for Treasury secretary, also questioned the validity of the current measure during his confirmation hearing last week. "The average American worker has gone nowhere," he said. "The unemployment rate is not real."

    During the campaign, Trump himself inveighed against the unemployment rate with far more colorful language.

    "The 5% figure is one of the biggest hoaxes in American modern politics," Trump said during a speech in August, when unemployment was at 4.9%.

    It has fallen even further since, to 4.7% in December. In October 2009, just after the end of the Great Recession, unemployment was as high as 10%. That's one of the ways economists know just how bad the downturn was.

    Labor nominee's record of skepticism

    This skepticism will likely be compounded if fast food CEO Andrew Puzder is confirmed by the Senate to lead the Labor Department. Part of his job would be to oversee the Bureau of Labor Statistics, which publishes the unemployment rate on the first Friday of each month.

    Since 2012, Puzder has written or co-written a host of op-eds blasting the bureau's method for crunching national job numbers. He claims it exaggerated the economic recovery under former President Obama.

    "The official unemployment rate taken alone has become a very poor indicator of economic growth," Puzder wrote in a 2012 op-ed for the conservative website Human Events, though few economists look at the measure in isolation.

    Puzder's beef is that someone who stops looking for work is no longer considered part of the labor force, and therefore not reflected in the unemployment rate. He has also noted that the measurement ignores people with part-time jobs who may want full-time jobs.

    "The numbers seem inconsistent with what people are experiencing and many people are simply losing interest," Puzder co-wrote in a 2013 op-ed for conservative site Townhall.

    This, in and of itself, isn't novel criticism.

    "I think that's exactly right. It's too much to ask of any one statistic that it would tell you everything you want to know in a very complicated labor market," said Katharine Abraham, BLS commissioner between 1993 and 2001, during the Clinton administration.

    But the Labor Department publishes statistics each month that account for part-time work and discouraged workers who have stopped looking for a job. Today that figure -- one measure of underemployment -- is 9.2%. The figure hit 17.1% in October 2009.

    Puzder says the Bureau of Labor Statistics should use a different ratio: The growth in the total number of jobs over the past year divided by the growth in the population over the same time, excluding people who are institutionalized.

    The idea is to track whether job creation is keeping pace with population growth -- and it supports Puzder's conclusion that unemployment under Obama was more dismal than the official figures showed.

    According to Puzder, the growth ratio for the recovery period has been 0.96. In other words, job growth on average didn't keep up with population growth.

    "In a real recovery, the economy creates enough jobs to repair the damage done and keep up with population growth," Puzder and Michael Talent, a recent college grad who served as an economic adviser to Mitt Romney's presidential campaign, wrote in National Review in 2013 in an article headlined "Fire the BLS's Unemployment Rate."

    How the government compiles its numbers

    It would be unusual for an administration to talk down the numbers its own employees are tallying. The government has used the same basic method for calculating national unemployment -- a monthly survey -- since 1940. The BLS is transparent about its methodology, and economists put a lot of stock in it even though it doesn't paint a full picture of the economy.

    Each month, the Census Bureau contacts 60,000 sample households, carefully selected to reflect geographic, industrial and agricultural diversity. Census workers ask questions to determine whether respondents have a job, are looking for a job or are not currently seeking work. Survey responses are adjusted to reflect the country's demographics.

    People with a part-time or full-time job are considered employed, while people who are jobless, looking for a job and available for work are considered unemployed. The employed and unemployed make up the labor force. Those who have no job and are not looking for one are not considered part of the labor force.

    The unemployment rate is the number of unemployed people as a percentage of the labor force.

    Economists trust this metric -- and say knocking it down would be a big problem.

    "You don't want to throw out the baby with the bathwater," Rodgers said.

    Industry professionals say it does its job as well as any single measure could.

    "Not only has the average American come to rely on their understanding of the employment rate, but people like me have come to expect certain data streams," said Russell Price, senior economist at financial planning company Ameriprise Financial.

    Besides, they point out, the BLS already publishes data that addresses Puzder's concerns with the official unemployment rate.

    And Puzder's growth ratio has its own problems. As the Baby Boomer generation gets older, many people are leaving the workforce not because they are discouraged but because they are retiring. Puzder's statistic wouldn't reflect that.

    "If you actually adjust for demographics, it's not going to look like there's that much slack in the economy," Murphy said. In labor economics, "slack" refers in part to the people who could be working but aren't.

    In 2014, the New York Federal Reserve put out a report highlighting this concern. Turning Puzder's criticism on its head, it said that, in fact, the employment-to-population ratio is "a misleading indicator for the degree of the labor market recovery."


    --
    John Case
    Harpers Ferry, WV

    The Winners and Losers Radio Show
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    Dani Rodrik: What did NAFTA really do? [feedly] -- on Brad DeLong's defense

    What did NAFTA really do?
    http://rodrik.typepad.com/dani_rodriks_weblog/2017/01/what-did-nafta-really-do.html

    Brad De Long has written a lengthy essay that defends NAFTA (and other trade deals) from the charge that they are responsible for the loss of manufacturing jobs in the U.S. I agree with much that he says – in particular with the points that the decline in manufacturing employment has been a long-term process that predates NAFTA and the China shock and that it is driven mainly by the secular trend of labor-saving technological progress. There is no way you can hold NAFTA responsible for employment de-industrialization in the U.S. or expect that a "better" deal with Mexico will bring those jobs back.

    At the same time, the essay leaves me frustrated and uneasy. It seems to gloss over the distributional pain of NAFTA and overstate the overall gains.  

    So what does the evidence say on these issues? We have now some good academic papers that address both overall gains and distributional impacts.

    Let's start with the big picture. Remember first that many advocates of NAFTA made at the outset some wildly optimistic claims about what NAFTA was going to achieve. The most extravagant of the studies, and the one that probably was the most widely circulated, was one produced at the Peterson Institute for International Economics (then just the Institute for International Economics). This study argued that NAFTA would be a net job creator for the U.S., thanks to a projected improvement in the U.S. balance of trade. (This study is apparently no longer available on PIIE's web site, but excerpts can be found here; see p. 58 for projected impacts.)

    This argument was always a red herring: trade agreements are not supposed to create net employment; they simply reshuffle employment. NAFTA neither subtracted, nor added substantial number of jobs to the U.S. economy. At best, it made the U.S. economy more efficient by reallocating workers to jobs that are more productive.

    And certainly this happened. But the overall efficiency gains are quite small, much smaller than what the trade volume effects would lead you to believe. A recently published academic study by Lorenzo Caliendo and Fernando Parro uses all the bells-and-whistles of modern trade theory to produce the estimate that these overall gains amount to a "welfare" gain of 0.08% for the U.S. That is, eight-hundredth of 1 percent! See their Table 2 (here or here). Trade volume impacts were much larger: a doubling of U.S. imports from Mexico.

    What is equally interesting is that fully half of the miniscule 0.08% gain for US is not an efficiency gain, but actually a benefit due to terms-of-trade improvement. That is, Caliendo and Parro estimate that the world prices of what the U.S. imports fell relative to what it exports. These are not efficiency gains, but income transfers from other countries (here principally Mexico and Canada). These gains came at the expense of other countries.

    A gain, no matter how small, is still a gain. What about the distributional impacts?

    The most detailed empirical analysis of the labor-market effects of NAFTA is contained in a paper by John McLaren and Shushanik Hakobyan. They find that the aggregate effects were rather small (in line with other work), but that impacts on directly affected communities were quite severe. It is worth quoting John McLaren at length, from an interview:

    Q. According to your study, what are the key impacts of NAFTA on U.S. wages?

    For the average worker, there is not much of an impact, but for certain important pockets of workers, the lowered import barriers resulting from NAFTA do seem to have lowered wage growth well below what it would have been. This is particularly true for blue-collar workers. We did not see much of an effect on college-educated workers, and executives at the other end of the spectrum did gain some benefit from globalizing their production line.

    There is also a big geographic component. Even if you do not work in an affected industry, if you work in a town that depends on one of those industries, your wage growth was likely affected. For example, a waitress working in a town that depends heavily on apparel manufacturing might miss out on wage growth even though she does not work in an industry directly affected by trade. To me, this was one of our most striking findings.

    Q. Among impacted workers, how did wages change?

    The most affected workers were high school dropouts working in industries that depended heavily on tariff protections in place prior to NAFTA. These workers saw wage growth drop by as much as 17 percentage points relative to wage growth in unaffected industries. If you are a blue-collar worker at the end of the '90s and your wages are 17 percent lower than they could have been, that could be a disaster for your family. That was the largest impact we saw, and it is important to remember that the impact is much smaller for the average worker.

    Q. Which industries have borne the brunt of the impact?

    Industries that had a big tariff drop because of NAFTA, and that produce something Mexico tends to export, were hardest-hit in terms of wage growth. According to our data, this included many old-line manufacturing industries, such as those manufacturing apparel, textiles, footwear or structural clay products like brick and tile.

    Q. Which geographic areas were most vulnerable?

    We found the largest impacts in parts of Georgia, North Carolina, South Carolina and Indiana, with areas like Washington, D.C., Northern Virginia and Maryland among the least vulnerable locales.

    In the discussion surrounding NAFTA, you often hear about impacts in manufacturing states like Ohio and Pennsylvania. We did not pick up too much impact there, likely because we were only looking at the effects of reductions in U.S. tariffs against Mexican goods. This study did not look at the effects of reducing Mexican tariffs on products from the U.S., which, paradoxically, could cause problems for U.S. workers as manufacturers move production chains south. That is something that we are researching currently and it could explain what we are seeing in areas like Ohio and Pennsylvania.

    In other words, those high school dropouts who worked in industries protected by tariffs prior to NAFTA experienced reductions in wage growth by as much as 17 percentage points relative to wage growth in unaffected industries. I don't think anyone can argue that a 17 percentage drop is small. As McLaren and Hakobyan emphasize, these losses were then propagated throughout the localities in which these workers lived.

    So here is the overall picture that these academic studies paint for the U.S.: NAFTA produced large changes in trade volumes, tiny efficiency gains overall, and some very significant impacts on adversely affected communities.

    The consequences of NAFTA for Mexico are another topic which would require a separate post. Let me just say that the great expectations the country's policy makers had for NAFTA have not been fulfilled. Despite the country's integration into North American production chains, overall productivity has stagnated. Mexico has been one of Latin America's underperformers.

    So is Trump deluded on NAFTA's overall impact on manufacturing jobs? Absolutely, yes.

    Was he able to capitalize on the very real losses that this and other trade agreements produced in certain parts of the country in a way that Democrats were unable to? Again, yes.  


     -- via my feedly newsfeed

    Racial gaps in wages, wealth, and more: a quick recap [feedly]

    Racial gaps in wages, wealth, and more: a quick recap
    http://www.epi.org/blog/racial-gaps-in-wages-wealth-and-more-a-quick-recap/

    Recently, I had the opportunity to present some key facts on 1A, a new NPR news program, about the state of black America. Drawing heavily upon research by my colleague Valerie Wilson and her co-author William Rodgers III, I reported on the economy for black workers and the overall disparities that remain, and, in some cases, continue to worsen. Since that hour went by fast (and you might have missed it), I want to reiterate some of those points briefly here.

    Black-white wage gaps are larger today that they were 35 years ago. For both men and women who work full time, the regression adjusted racial wage gap has widened since 1979. The figure below shows that, relative to the average hourly wages of white men with the same education, experience, metro status, and region of residence, black men make 22.0 percent less, and black women make 34.2 percent less.

    Figure C

    Read more


     -- via my feedly newsfeed

    Wednesday, January 25, 2017

    EPIC Radio Podcasts:De-Stress from the Elections with the Are You Crazy Show Podcase

    John Case has sent you a link to a blog:



    Blog: EPIC Radio Podcasts
    Post: De-Stress from the Elections with the Are You Crazy Show Podcase
    Link: http://podcasts.enlightenradio.org/2017/01/de-stress-from-elections-with-are-you.html

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