— this post authored by Thomas Piketty, Emmanuel Saez, and Gabriel Zucman
Appeared originally at Voxeu.org 29 March 2017
The rise of economic inequality is one of today’s most hotly debated issues. But a disconnect between the different data sets used to measure and understand inequality makes it hard to address important economic and policy questions. In this column, the authors highlight the findings from their attempt to create inequality statistics for the US that overcome the limitations of existing data by creating distributional national accounts.
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The rise of economic inequality is one of the most hotly debated issues today in the US (Furman 2016) and indeed in the world. Yet economists and policymakers alike face important limitations when trying to measure and understand the rise of inequality.
One major problem is the disconnect between macroeconomics and the study of economic inequality. Macroeconomics relies on national accounts data to study the growth of national income, while the study of inequality relies on individual or household income, survey, and tax data. Ideally all three sets of data should be consistent, but they are not. The total flow of income reported by households in survey or tax data adds up to barely 60% of the national income recorded in the national accounts, with this gap increasing over the past several decades.1
This disconnect between the different data sets makes it hard to address important economic and policy questions, such as:
- What fraction of economic growth accrues to those in the bottom 50%, the middle 40%, and the top 10% of the income distribution?
- What part of the rise in inequality is due to changes in the share of national income that goes to workers (labour income) and owners (capital income) versus changes in how these labour and capital incomes are distributed among individuals?
A second major issue is that economists and policymakers do not have a comprehensive view of how government programmes designed to ameliorate the worst effects of economic inequality actually affect inequality. Americans share almost one-third of the fruits of economic output (via taxes that help pay for an array of social services) through their federal, state, and local governments. These taxes collectively add up to about 30% of national income, and are used to fund transfers and public goods that ultimately benefit all US families. Yet we do not have a clear measure of how the distribution of pre-tax income differs from the distribution of income after taxes are levied and after government spending is taken into account. This makes it hard to assess the extent to which governments make income growth more equal.2
In a recent paper, we attempt to create inequality statistics for the US that overcome the limitations of existing data by creating distributional national accounts (Piketty et al. 2016). We combine tax, survey, and national accounts data to build a new series on the distribution of national income. National income is the broadest measure of income published in the national accounts and is conceptually close to gross domestic product, the broadest measure of economic growth.3 Our distributional national accounts enable us to provide decompositions of growth by income groups consistent with macroeconomic growth.
In our paper, we calculate the distribution of both pre-tax and post-tax income. The post-tax series deducts all taxes and then adds back all transfers and public spending so that both pre-tax and post-tax incomes add up to national income. This allows us to provide the first comprehensive view of how government redistribution in the US affects inequality. Our benchmark series use the adult individual as the unit of observation and split income equally among spouses in married couples. But we also produce series where each spouse is assigned their own labour income, allowing us to study gender inequality and its impact on overall income inequality. In this column, we would like to highlight three striking findings.
Our first finding: A surge in income inequality
First, our data show that the bottom half of the income distribution in the US has been completely shut off from economic growth since the 1970s. From 1980 to 2014, average national income per adult grew by 61% in the US, yet the average pre-tax income of the bottom 50% of individual income earners stagnated at about $16,000 per adult after adjusting for inflation.4 In contrast, income skyrocketed at the top of the income distribution, rising 121% for the top 10%, 205% for the top 1%, and 636% for the top 0.001% (see Figures 1 and 2.)
It’s a tale of two countries. For the 117 million US adults in the bottom half of the income distribution, growth has been non-existent for a generation, while at the top of the ladder it has been extraordinarily strong. And this stagnation of national income accruing at the bottom is not due to population ageing. Quite the contrary: for the bottom half of the working-age population (adults below 65), income has actually fallen. In the bottom half of the distribution, only the income of the elderly is rising.5 From 1980 to 2014, for example, none of the growth in per-adult national income went to the bottom 50%, while 32% went to the middle class (defined as adults between the median and the 90th percentile), 68% to the top 10%, and 36% to the top 1%. An economy that fails to deliver growth for half of its people for an entire generation is bound to generate discontent with the status quo and a rejection of establishment politics.
Because the pre-tax incomes of the bottom 50% stagnated while average national income per adult grew, the share of national income earned by the bottom 50% collapsed from 20% in 1980 to 12.5% in 2014. Over the same period, the share of incomes going to the top 1% surged from 10.7% in 1980 to 20.2% in 2014.6 As shown in Figure 2, these two income groups basically switched their income shares, with about 8 points of national income transferred from the bottom 50% to the top 1%. The gains made by the 1% would be large enough to fully compensate for the loss of the bottom 50%, a group 50 times larger.
To understand how unequal the US is today, consider the following fact. In 1980, adults in the top 1% earned on average 27 times more than bottom 50% of adults. Today they earn 81 times more. This ratio of 1 to 81 is similar to the gap between the average income in the US and the average income in the world’s poorest countries, among them the war-torn Democratic Republic of Congo, Central African Republic, and Burundi. Another alarming trend evident in this data is that the increase in income concentration at the top in the US over the past 15 years is due to a boom in capital income. It looks like the working rich who drove the upsurge in income concentration in the 1980s and 1990s are either retiring to live off their capital income or passing their fortunes onto heirs.
Our second finding: Policies to ameliorate income inequality fall woefully short
Our second main finding is that government redistribution has offset only a small fraction of the increase in pre-tax inequality. As shown in Figure 1, the average post-tax income of the bottom 50% of adults increased by only 21% between 1980 and 2014, much less than average national income. This meagre increase comes with two important limits.
First, there was almost no growth in real (inflation-adjusted) incomes after taxes and transfers for the bottom 50% of working-age adults over this period because even as government transfers increased overall, they went largely to the elderly and the middle class. Second, the small rise of the average post-tax income of the bottom 50% of income earners comes entirely from in-kind health transfers and public goods spending. The disposable post-tax income – including only cash transfers – of the bottom 50% stagnated at about $16,000. For the bottom 50%, post-tax disposable income and pre-tax income are similar – this group pays roughly as much in taxes as it receives in cash transfers.
Our third finding: Comparing income inequality among countries is enlightening
Third, an advantage of our new series is that it allows us to directly compare income across countries. Our long-term goal is to create distributional national accounts for as many countries as possible; all the results will be made available online on the World Wealth and Income Database. One example of the value of these efforts is to compare the average bottom 50% pre-tax incomes in the US and France.7 In sharp contrast with the US, in France the bottom 50% of real (inflation-adjusted) pre-tax incomes grew by 32% from 1980 to 2014, at approximately the same rate as national income per adult. While the bottom 50% of incomes were 11% lower in France than in the US in 1980, they are now 16% higher (see Figure 3).
The bottom 50% of income earners makes more in France than in the US even though average income per adult is still 35% lower in France than in the US (partly due to differences in standard working hours in the two countries).8 Since the welfare state is more generous in France, the gap between the bottom 50% of income earners in France and the US would be even greater after taxes and transfers.
The diverging trends in the distribution of pre-tax income across France and the US – two advanced economies subject to the same forces of technological progress and globalisation – show that working-class incomes are not bound to stagnate in Western countries. In the US, the stagnation of bottom 50% of incomes and the upsurge in the top 1% coincided with drastically reduced progressive taxation, widespread deregulation of industries and services (particularly the financial services industry), weakened unions, and an eroding minimum wage.
Given the generation-long stagnation of the pre-tax incomes among the bottom 50% of wage earners in the US, we feel that the policy discussion at the federal, state, and local levels should focus on how to equalise the distribution of human capital, financial capital, and bargaining power rather than merely the redistribution of national income after taxes. Policies that could raise the pre-tax incomes of the bottom 50% of income earners could include:
- Improved education and access to skills, which may require major changes in the system of education finance and admission;
- Reforms of labour market institutions to boost workers’ bargaining power and including a higher minimum wage;
- Corporate governance reforms and worker co-determination of the distribution of profits; and
- Steeply progressive taxation that affects the determination of pay and salaries and the pre-tax distribution of income, particularly at the top end.
The different levels of government in the US today obviously have the power to make income distribution more unequal, but they also have the power to make economic growth in the US more equitable again. Potentially pro-growth economic policies should always be discussed alongside their consequences for the distribution of national income and concrete ways to mitigate their unequalising effects. We hope that the distributional national accounts we present today can prove to be useful for such policy evaluations.
We will post online our complete distributional national accounts micro-data. These micro-files make it possible for researchers, journalists, policymakers, and any interested user to compute a wide array of distributional statistics – income, wealth, taxes paid and transfers received by age, gender, marital status, and other measures – and to simulate the distributional consequences of tax and transfer reforms in the US.
Editors’ note: This column first appeared on the Washington Center for Equitable Growth website. Reproduced with permission.
- Furman, J (2016), “Forms and sources of inequality in the United States”, VoxEU.org, 17 March.
- Garbinti, B, J Goupille and T Piketty (2016), “Inequality Dynamics in France, 1900-2014: Evidence from Distributional National Accounts (DINA),” Paris School of Economics working paper.
- Piketty, T and E Saez (2003), “Income Inequality in the United States, 1913-1998,” Quarterly Journal of Economics, 118(1), 1-39.
- Piketty, T, E Saez, and G Zucman (2016), “Distributional National Accounts: Methods and Estimates for the United States”, NBER Working Paper 22945.
- U.S. Congressional Budget Office (2016), “The Distribution of Household Income and Federal Taxes, 2013”, Washington, DC.
- Many important forms of income, such as fringe benefits of employees, retained profits and taxes paid by corporations, or imputed rent of homeowners, are part of U.S. national income but are not included in individual survey or tax data.
- Official U.S. Census Bureau household income statistics are based on money income. Money income does not subtract individual taxes but adds back cash (but not in-kind) transfers. Hence, it is a mixed concept in between pre-tax and post-tax. It is conceptually sounder to focus separately on pre-tax and post-tax income. The U.S. Congressional Budget Office evaluates the federal tax burden by income groups but does not factor in state and local taxes (U.S. Congressional Budget Office 2016) and does not try to assign the benefits of federal government spending back to individuals.
- income is GDP minus capital depreciation plus net income received from abroad. Capital depreciation is not income and income from abroad is important, particularly among top earners.
- All our data are expressed in constant 2014 dollars, using the national income deflator.
- Our pre-tax income series are based on income after the operation of private and public pensions so that pension and social security income is included in pre-tax income (and the corresponding contributions are deducted). We also estimate series for factor income (before the operation of pension systems). Factor income series also display stagnation of bottom 50% of incomes since 1980. We prefer using pre-tax income series which give the elderly reasonable incomes so that aging has little impact on our inequality series.
- This 9.5 point increase in the top 1% of the pre-tax US national income share is similar in magnitude to the increase estimated in the Piketty-Saez series, where the top 1% income share (when including realised capital gains) increases by 11.4 points from 10% in 1980 to 21.4% in 2014. The Piketty-Saez series are based on a fiscal income concept, which captures only about two-thirds of total national income, and they use the family tax unit instead of the adult unit (see Piketty and Saez 2003).
- The results for France are presented in Garbinti et al. (2016).
- In these calculations, we apply the 2014 purchasing power parity exchange rate of 0.819 euros per US dollar estimated by the OECD.
About The Authors
Thomas Piketty is Professor of Economics at the Paris School of Economics, of which he was the founder and first Director from 2005 and 2007. He is the author of numerous articles published in journals such as the Quarterly Journal of Economics, the Journal of Political Economy, the American Economic Review and the Review of Economic Studies, and of a dozen books. He has done major empirical and theoretical work on the interplay between economic development and the distribution of income and wealth. He is the initiator of the recent literature on the historical evolution of top income shares (now available in the World Top Incomes Database).
Emmanuel Saez is Professor of Economics and Director of the Center for Equitable Growth at the University of California Berkeley. His research focuses on tax policy and inequality both from theoretical and empirical perspectives. Jointly with Thomas Piketty, he has constructed long-run historical series of income inequality in the United States that have been widely discussed in the public debate. He received his PhD in Economics from MIT in 1999. He was awarded the John Bates Clark medal of the American Economic Association in 2009 and a MacArthur Fellowship in 2010.
Gabriel Zucman is an Assistant Professor of Economics at the London School of Economics. His research focuses on the accumulation and distribution of global wealth, from both a public finance and international macro perspective. He is particularly interested in the role of tax havens in the global economy. Recent work includes The Missing Wealth of Nations: Are Europe and the U.S. net Debtors or net Creditors?“(Quarterly Journal of Economics, 2013), and Capital is Back: Wealth-Income Ratios in Rich Countries, 1700-2010 (with Thomas Piketty).