Federal Income Taxes at the Highest Income Levels

There\’s an undeniable fascination with looking at the highest income levels and their tax payments. Adrian Dungan provides a glimpse in \”Individual Income Tax Shares, 2014,\” which was published in the IRS house journal Statistics of Income Bulletin (Spring 2017, pp. 12-23).

Here\’s a figure showing the share of returns and the share of income taxes paid. For example, the top 1% of income tax returns in 2014 accounted for 20.6% of all income, but 39.5% of all income tax. The top 50% of all tax returns accounted for 88.7% of all income and 97.3% of all income tax. Which in turn implies that the bottom half of all tax returns accounted for 11.3% of all income and 2.7% of all income tax.

Here\’s a figure focused on the very upper end of this distribution. About 137 million tax returns were filed in 2014. Thus, the top 1% of those returns refers to the top 1.37 million tax returns; 0.1%, the top 137,000 returns; 0.01%, the top 13,700 returns; and 0.001%, the top 1,370 returns. The bars for the top 1% show the same numbers as in the figure above. But the top 0.001% accounts for 2.1% of all income and 3.6% of all income taxes.

What are the income levels for these different groups? The top 10% kicks in at about $130,000; the top 1% is at $460,000.

At the extreme upper end, the top 0.001% of tax returns reported income of nearly $60 million in 2014.

Finally, here\’s some information on the average income tax rates paid by those in the highest brackets. A few points are worth noting here: 1) This is an average tax rate, not a marginal tax bracket–so these people are paying much higher tax rates on the marginal dollar; 2) Average taxes on those with very high incomes rose in 2012; and 3) The very highest income levels of 0.01% and 0.001% have slightly lower average tax rates, probably because these very high levels of income are likely to take the form of long-term capital gains that are taxed at a lower rate than regular income.

A few words of warning are appropriate before over-interpreting the figures here. These figures and percentages apply only to federal income tax. They do not cover the federal payroll taxes that fund Social Security and Medicare, nor do they cover state and local taxes like sales, property, and income taxes. Thus, the figures do not show overall tax burden. The higher burden of income taxes on those with high income levels, as a share of their incomes, can be thought of as counterbalancing how other major taxes like sales tax and payroll taxes weigh more heavily on those with lower incomes, as a share of their incomes.

Tax Reform With Spending and Taxes at Historical Averages

It\’s conceptual possible, if not always practically convenient, to separate tax policy into two main  pieces. One issue is the tax cut vs. tax hike debate–that is, whether the total amount being collected should be higher or lower. The other issue is whether the tax code should be adjusted in some way to alter its incentives and disincentives. As one example, the 1986 Tax Reform Act was more-or-less neutral in the amount of revenue it collected, but it altered the incentives of the tax code by combining lower marginal tax rates with a reduction in the availability of various deductions, credits, and exemptions.

In thinking about the current tax bill, first consider the question of how US tax and spending compares with to historical levels. Here\’s a figure from the Congressional Budget Office report, \”An Update to the Budget and Economic Outlook: 2017 to 2027\” (June 2017). A little-remarked fact about the present state of the federal budget is that the level of federal spending is almost exactly at
its 50-year average of 20.3%, while the level of total federal taxes is pretty much right on its historical federal average of 17.4%. Thus, the budget deficit at present is also very close to its long-run average of 2.9% of GDP.

 When looking at a government\’s debt burden over time, the most useful quick metric is the ratio of total accumulated debt/GDP. Here\’s a CBO figure from March 2017 showing this metric for the US economy over time–and projections for the next couple of decades. The common pattern over time is that the debt/GDP ratio rises sharply during wartime, and around times of extreme economic stress like the Great Depression of the 1930s and the more recent Great Recession.

But the Great Recession ended back in June 2009, and the US unemployment rate has been 5% or lower for more than two years, since September 2015. Moreover, the long-term projections from CBO suggest that existing government programs are going to exert very large pressures for higher government debt in the next couple of decades, as the boomer generation retires and health care costs continue to rise. When (and not if) the next recession arrives, it will be a good time to run larger deficits again. But the case for a tax cut to stimulate the US economy that reported a 4.1% unemployment rate in October 2017 is weak.

What about the effects of the tax bill on economic incentives?  I sometimes use the analogy that economies carrying  a tax burden are similar to a hiker carrying gear for a back-country excursion. If the hiker has a well-fitted and well-padded backpack, with the weight nicely distributed, it\’s a lot easier to hike all day. If you took the exact same camping gear and randomly attached it to hiker around their body–some on the feet, the heaviest weight on the right arm and nothing on the left arm–that same amount of weight becomes very difficult to carry. Thus, the question of tax reform is not whether the burden should be higher or lower, but rather how best to distribute a given amount of weight.

There are of course lots of estimates of how the tax bill will affect incentives, but the estimates of the Joint Committee on Taxation are especially worthy of notice. Because Republicans control Congress, that party also controls the Joint Committee on Taxation. However, many staff members of the JCT soldier on from one administration to the next, showing both some willingness to be flexible as their political guidance changes, but also showing some stubbornness in insisting on a certain level of consistency and logic in their estimates. Thus, economists who tend to align with the Democratic party like Larry Summers, Jason Furman, and Paul Krugman have all been willing to cite the JCT estimates as a reasonable basis for discussion (although I\’m sure they also disagree with these estimates in various ways). 

Here are some comments from the JCT report. \”Macroeconomic Analysis of the“Tax Cut and Jobs Act” as Ordered Reported by the Senate Committee on Finance on November 16, 2017\” (November 30, 2017):

We estimate that this proposal would increase the level of output (as measured by Gross Domestic Product) by about 0.8 percent on average over the 10- year budget window. That increase in income would increase revenues, relative to the conventional estimate of a loss of $1,414 billion … by $458 billion over that period. This budget effect would be partially offset by an increase in interest payments on the Federal debt of about $50 billion over the budget period. We expect that both an increase in GDP and resulting additional revenues would continue in the second decade after enactment, although at a lower level, as many of the provisions that are expected to increase GDP within the budget window expire before the second decade.

Thus, this estimate incorporates a moderate version of the Republican believe that the tax cut will boost growth, but even after adding such an effect, taxes are estimated to be about $1 trillion lower over 10 years. What about more specific changes to the individual income tax? The JCT report summarizes the main changes in this way:

\”The bill changes individual income tax rates, lowering the top individual income tax rate from 39.6 percent to 38.5 percent, creating an additional individual income tax rate bracket, and lowering statutory tax rates for most tax rate brackets, while changing the measure used to adjust the brackets for inflation from the present law consumer price index (“CPI-U”) to the chained consumer price index (“chained CPI”). The chained CPI grows more slowly than the CPI-U, thus resulting in people over time moving into higher rate brackets at a faster rate under the bill than under present law. The bill also reduces individual shared responsibility payments for failure to obtain qualified health insurance coverage enacted as part of the affordable care act to zero. At the same time, the proposal eliminates a number of deductions and credits from their individual taxable income while increasing others. The biggest changes include eliminating personal exemptions while increasing the standard deduction, and increasing the maximum amount of the child tax credit while increasing the income range over which individuals may claim it.\” 

Thus, while the bill does reduce taxes at high income levels, that doesn\’t seem to me the main thrust of the bill. The cost of the dramatic rise in the standard deduction and to a lesser extent in the child tax credit is very high. To me, one of the most interesting dimensions of this change is that with a much higher standard deduction, many fewer taxpayers would find it worthwhile to  itemize deductions. Thus, if or when proposals resurface a few years from now to reduce popular deductions like the one for home mortgage interest or state and local taxes, many fewer people will be using those deductions, and the political calculus around them may shift.

The bill also shifts business taxation, with a goal of reducing corporate tax rates and encouraging firms to repatriate earnings now held abroad. It\’s hard to remember amidst the political din, but these were also announced goals of the Obama administration. For example, a joint report from the Obama White House and the Department of the Treasury in April 2016 called \”The President’s Framework for BusinessTax Reform: An Update,\” included comments like: 

\”The Framework would eliminate dozens of different tax expenditures and fundamentally reform the business tax base to reduce distortions that hurt productivity and growth. It would reinvest these savings to lower the corporate tax rate to 28 percent, putting the United States in line with major competitor countries and encouraging greater investment in America. … Our tax system should not give companies an incentive to locate production overseas or engage in accounting games to shift profits abroad, eroding the U.S. tax base.\”

For comparison, here\’s the JCT description of the corporate tax changes in the Senate version of the tax reform plan:

\”In addition, the bill lowers the corporate income tax rate from 35 percent to 20 percent beginning in 2019; and, it increases the rate of bonus depreciation to 100 percent while extending it for five years, from 2018 through 2022. The bill also repeals or limits deductions for a number of business expenses, the largest of which is a 30 percent limit on interest deductibility. Finally, the bill makes significant changes to the taxation of both foreign and domestically controlled multinational entities. It would allow domestic corporations to receive a dividend from their foreign subsidiaries without incurring United States tax on the income. It also creates a new minimum tax for certain related party transactions in order to reduce the erosion of the United States corporate income tax base. In a further effort to reduce base erosion, it equalizes the tax treatment of specified high return income from foreign sales whether they are earned through a foreign corporation or a domestic corporation.\”

There are clear differences between the plans, of course. The Obama administration was talking about cutting the corporate tax rate to 28%, not 20%. In addition, the Obama plan emphasized that changes to corporate taxes should be revenue-neutral. But on other other side, the Obama proposal is a white paper, not actual legislation, which means that it had not been put through the Congressional meat-grinder where seemingly every legislator is demanding a sweet tidbit of their own devising in exchange for supporting the bill.

Assuming this tax bill moves forward and becomes law in essentially its current form, one of the most interesting aspects to keep track of will be its effect on investment. There is a widespread fear that ongoing low levels of investment are slowing US economic growth, both in the short-run and the long-term. A common solution proposed by Democratic-leaning economists has been to support a high level of infrastructure spending, and before President Trump was elected, it was common to hear arguments pointing out that if an infrastructure investment could be financed at today\’s low interest rates, and if that infrastructure investment brought a long-term payoff, it would be economically sensible to undertake the project even if it increased short-run budget deficits. In effect, the current Republican tax bill repurposes that argument into a claim that if certain tax changes call forth  sufficient private sector investment, then it is worth increased budget deficits as well.

This already overlong blog post isn\’t the place to try to sort through the merits of public-sector and private-sector investment, and whether the kind of politically-driven infrastructure spending on roads and bridges that typically bubbles up through Congress is the most productive way to build a strong base for the US economy in the 21st century. I think it might be even more useful to consider an infrastructure agenda applying to energy resources and to  data networks, and for hardening this infrastructure against physical- and cyber-attack. But focusing just on the Republican tax plan, the additional budget deficits seem certain to be very high and the promised investment benefits seem relatively small and uncertain.

Is Job Disruption Historically Low in the US Economy?

Discussions of how advances in technology, trade, and other factors lead to disruption of jobs often seems to begin with an implicit claim that it was all better in the past, when the assumption seems to be that most workers had well-paid, secure, and life-long jobs. Of course, we all know that this story isn\’t quite right. After all, about one-half of US workers were in agriculture in 1870, down to one-third by early in the 20th century, and less than 3% since the mid-1980s. About one-third of all US nonagricultural workers were in manufacturing in 1950, and that has now dropped to about 10%. These sorts of shifts suggest that job disruption and shifts in occupation have been a major force in the US economy throughout its history.

Indeed, Robert D. Atkinson and John Wu argue that the extent of job disruption was higher in the US economy in the past in \”False Alarmism: Technological Disruption and the U.S. Labor Market, 1850–2015,\” written for the Information Technology & Innovation Foundation (May 2017). They write:

\”It has recently become an article of faith that workers in advanced industrial nations face almost unprecedented levels of labor-market disruption and insecurity. … When we actually examine the last 165 years of American history, statistics show that the U.S. labor market is not experiencing particularly high levels of job churn (defined as the sum of the absolute values of jobs added in growing occupations and jobs lost in declining occupations). In fact, it’s the exact opposite: Levels of occupational churn in the United States are now at historic lows. The levels of churn in the last 20 years—a period of the dot-com crash, the financial crisis of 2007 to 2008, the subsequent Great Recession, and the emergence of new technologies that are purported to be more powerfully disruptive than anything in the past—have been just 38 percent of the levels from 1950 to 2000, and 42 percent of the levels from 1850 to 2000. …

\”Indeed, if we could go back in time and ask someone in 1900 about the pace of technological change, they would likely tell a similar story about its acceleration, citing the proliferation of amazing innovations (e.g., cars, electric lighting, the telephone, the record player). But notwithstanding iconic innovations such as electricity, the internal combustion engine, the computer, and the Internet, change is almost always more gradual than many think. Indeed, as historian Robert Friedel notes, “even the technological order seems more characterized by stability and stasis than is often recognized.” And as discussed below, that is likely to be the case regarding technology-induced labor market change.\”

The paper is packed with examples of American jobs that have boomed and then diminished over time. The number of workers on railroads boomed in the late 19th century, but fell throughout the 20th century. \”Seventy years ago, tens of thousands of young men and boys worked in bowling alleys as pinsetters, setting up the pins after the bowlers had knocked them down.\” More than 110,000 people were employed as elevator operators in 1950. The number of motion picture projectionists fell from almost 25,000 in 1970 to about 3,000 today. The number of automobile mechanics peaked at over 1.8 million in 2000, but had fallen by over 300,000 to about 1.5 million by 2010–mainly because improvements in auto quality made a lot of mechanics obsolete. \”For example, while 180,000 Americans were employed as travel agents at the turn of the millennium, with the emergence of Internet-based travel booking, just over 90,000 were employed in 2015. Likewise, there are 57 percent fewer telephone operators, 41 percent fewer data-entry clerks, and 3 percent fewer postal-mail carriers than there were in 2000, even though the volume of information transactions has grown, all because of digital automation and substitution.\”

The review isn\’t exhaustive: for example, the paper doesn\’t mention that in the late 1940s, AT&T employed more than 350,000 switchboard operators, or that the  number of telephone operators who provided phone numbers and connected calls used to be in the tens of thousands just a few decades ago.

But of course, a pile of examples isn\’t always fully persuasive; as the social scientists like to say, the plural of \”anecdotes\” is not \”data.\” But it\’s worth remembering that even in periods when the US economy is pretty much universally acknowledged to have been running on high, like the 1960s, there was considerable turnover in job categories and occupations. They write:

\”For example, in the 1950s and 1960s, many occupations grew extremely fast, even after controlling for employed worker growth. For example, in the 1960s, 885,000 janitors were added as offices expanded, 700,000 nursing aides as health-care consumption increased, and 600,000 secondary-school teachers as today’s baby boomers started to enter high school. At the same time, many occupations either declined outright or grew much more slowly than overall labor-force growth. For example, office-machine operators (except computers) fell by over 400,000; office clerks fell by 1.8 million; material moving workers fell 1.5 million; and other production workers fell by 1.9 million workers, as manufacturers increased automation.\”

Is there some way to get a systematic handle on the amount of occupational change in the US economy over time. As you might expect, the available data is limited as one goes back in time, but there is the Census. Thus, Atkinson and Wu suggest a number of measures of occupational change. For example:

\”The first measures change in each occupation relative to overall occupational change. With this method, even if an occupation doesn’t lose jobs, if it didn’t grow as fast as the overall labor market, the delta between that growth and overall labor force growth would be calculated as churn. In other words, if a particular occupation grew 4 percent in a decade but the overall number of jobs grew 10 percent, the rate of change would be negative 6 percent. Likewise, if employment in an occupation grew 15 percent in a decade, but the overall number of jobs grew 10 percent, the rate of change would be 5 percent. Absolute values were taken of negative numbers, and the sum of employment change was calculated for all occupations. This was then divided by the number of jobs at the beginning of the decade to measure the rate of churn. … 

\”The findings are clear: Rather than increasing, the rate of occupational churn in the last few decades is the lowest in American history, at least since 1850. Under method one, using the occupational categories of 1950, occupational churn peaked at over 50 percent in the decades between 1850 to 1870. (See figure 7.) But it was still above 25 percent for the decades from 1920 to 1980. In contrast, it fell to around 20 percent in the 1980s and 1990s, to just 14 percent in the 2000s, and 6 percent in the first half of the 2010s.\”

This specific measure is surely rough-and-ready, and so the authors offer some other approaches along these general lines. The same lesson keeps coming up. The dramatic shifts in agricultural jobs from the 19th century into the 20th century, the rise and fall of manufacturing jobs, and many other shifts in technology and trade have been causing the US economy to have a high level of occupational shifts for a long time. Since the start of the 20th century, the level of occupational shifts has actually been relatively low.

This analysis cuts against conventional wisdom. But it does fit in a broad sense with some other evidence: for example, the evidence that Americans are moving less, or that job losses are a share of total US employment (which are always happening in the movement and churn of the US economy) are on a downward trend. Here\’s one more figure from Atkinson and Wu:

There are lots of reports out there about how technology will affect the jobs of the future, ranging from the sensible to the weirdly apocalyptic. A good sensible example is the recent report from McKinsey on \”What the future of work will mean for jobs, skills, and wages\” (December 2017). There\’s lots of useful and thought-provoking analysis on what jobs will change, in what ways, in what countries. But one bottom line of the analysis is an estimate that overall, \”Our scenarios suggest that by 2030, 75 million to 375 million workers (3 to 14 percent of the global workforce) will need to switch occupational categories.\” The numbers are big. But that degree of occupational change over the next dozen or so years is not at all unprecedented.