Inequality

Evidence on inequality in earnings, income, wealth, opportunity, and labor-market outcomes. The archive examines technology, education, institutions, geography, taxes, transfers, firm differences, and changes across the distribution.

AI Summary. Since 1982, real growth in the median U.S. wage has trailed growth at both the top and bottom of the wage distribution, with higher and lower percentiles outperforming the middle.

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Garcia and Glasner document the striking observation that inequality across the wage distribution rose mainly during the long overall wage stagnations of 1982–1996 and 2001–2014. Wage growth was both faster and more broadly shared in 1996–2001 and 2014–2020.

Has median wage growth lagged both the top and bottom?

Core argument: Real growth of the median U.S. wage has trailed growth at both the higher and lower ends of the wage distribution since 1982.

Figure 4 zooms into the First Long Wage Stagnation from December 1982 to 1996: negative growth for the 10th percentile wage and hardly any growth for the three middle wage categories. Meanwhile the 90th percentile wage climbed away from all the others despite itself growing by less than 1% a year. Figure 5 shows the more recent Second Long Wage Stagnation. The median wage averaged just 0.36% growth per year. And because the growth of the 75th and 90th percentile firmly outpaced the growth of the others, wage inequality climbed sharply. From 2015 through the start of 2020, wages climbed all across the distribution, [while] the widening between the 90th percentile wage and the other wages slowed. The escape from wage stagnation once again arrived as the labor market continued tightening. In the late 1990s boom, the median wage climbed an annualized 2.6%. The eras in which the median wage climbed at the steepest angle were those in which all the other wages climbed with it. [Finally], real growth of the median wage has trailed behind the growth of the other wage categories since 1982.

Takeaways by Macro Roundup® AI

  1. Real growth of the median U.S. wage has trailed growth at both the higher and lower ends of the wage distribution since 1982.
  2. Figure 10 presents three wage ratios: the 90th percentile to the median, the 90th percentile to the 10th, and the median to the 10th.

AI Summary. An analysis of federal aid recipients' tax-reported earnings finds the highest-earning bachelor's programs are concentrated at highly selective schools and in computer science, mathematics and electrical engineering. Nursing programs at several California schools produce graduates earning around $150,000 annually, placing them in the top 100 of nearly 25,000 programs analyzed.

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A HEA Group analysis of the earnings of 2018 and 2019 college graduates four years after graduation finds earnings are widely dispersed across schools in higher-earning fields such as computer science and economics and have a narrow dispersion in lower-earning fields such as English and drama.

Which college majors and schools produce the highest-earning graduates?

Core argument: HEA Group’s analysis of nearly 25,000 bachelor’s programs found computer science, mathematics and electrical engineering majors top the earnings list, with graduates of highly rejective schools including the Ivies, M.I.T., Stanford and U.C.L.A. dominating.

HEA Group tracked students who received federal financial aid and graduated during the 2017-18 and 2018-19 periods. The top of the earnings list is dominated by graduates of highly rejective schools — the Ivies and others, like M.I.T., Stanford and U.C.L.A. The majors that top the list are computer science, mathematics and electrical engineering. The income data come from whatever people reported on their federal tax returns. That means certain stock awards and other potential deferred compensation aren’t part of the totals. Nursing programs at a handful of California schools, including California State University, East Bay; San Francisco State University; and Samuel Merritt University, produce graduates earning around $150,000 annually, putting them in the top 100 out of the nearly 25,000 bachelor’s programs the HEA Group analyzed nationwide. They stick out amid quantitative and science majors from institutions like the California Institute of Technology and Cornell.

Takeaways by Macro Roundup® AI

  1. HEA Group’s analysis of nearly 25,000 bachelor’s programs found computer science, mathematics and electrical engineering majors top the earnings list, with graduates of highly rejective schools including the Ivies, M.I.T., Stanford and U.C.L.A. dominating.
  2. Nursing graduates of California State University, East Bay; San Francisco State University; and Samuel Merritt University earn around $150,000 annually, placing those programs in the top 100 amid quantitative and science majors from institutions like the California Institute of Technology and Cornell.
  3. HEA Group tracked federal financial aid recipients who graduated during the 2017-18 and 2018-19 periods, using income reported on federal tax returns, which excludes certain stock awards and other potential deferred compensation.

AI Summary. Corporate profit margins, long regarded as one of the economy's most reliably mean-reverting series, have risen continuously so far this century. Measured through the national income accounts used in calculating GDP, profits now take a larger share of the economy than on the eve of the 1929 crash.

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Since 2000, post-tax corporate profits as a share of GDP have trended upward across cyclical setbacks and are now near an all time high, above their 1929 level.

Have corporate profit margins stopped reverting to the mean?

Core argument: Corporate profits measured in the National Income and Product Accounts take a larger share of the U.S. economy than on the eve of the 1929 Great Crash.

Throughout the 20th century, profit margins were regarded as one of the purest mean-reverting series in the economy. So far this century, however, margins have done nothing but rise. Measured with the National Income and Product Accounts, part of the GDP calculation, profits are currently taking a bigger share of the economy even than on the eve of the Great Crash in 1929. The series comes with a lag, so we can assume the profit share on this basis is comfortably at a record by now.

Takeaways by Macro Roundup® AI

  1. Corporate profits measured in the National Income and Product Accounts take a larger share of the U.S. economy than on the eve of the 1929 Great Crash.
  2. Profit margins were regarded throughout the 20th century as one of the purest mean-reverting series in the economy, yet so far this century they have done nothing but rise.
  3. The National Income and Product Accounts profits series comes with a lag, so the profit share on this basis can be assumed to be comfortably at a record.

AI Summary. Analysis of English genealogical records and marriage registries estimates that the underlying correlation in social status across generations is close to 0.8, with status correlation detectable even among relatives nine generations apart. The authors find this persistence unchanged over four centuries, concluding that policies aimed at raising social mobility have not altered it.

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Clark estimates that the intergenerational correlation of relative socioeconomic status in England remained ~0.8 btw 1600 and 2026. The pattern of correlations across near and distant relatives fits a model of genetic inheritance with strong assortative mating.

How persistent is social status across generations in England?

Core argument: Drawing on a genealogical database of 436,185 English people spanning 1600–2026 and records of about 1.7 million English marriages from 1837–2022, the authors estimate the underlying intergenerational correlation in social status at close to 0.8, higher than conventional measures indicate.

A large genealogical database of [436,185] English people 1600-2026, as well as detailed records of [~1.7mn marriages] in England 1837-2022, [reveals] social status is much more persistent across generations than conventionally measured. The [inferred] underlying correlation in status across generations is close to 0.8, implying that even relatives as distant as nine generations apart still show correlation in social status. [Ratios of correlations among siblings, parents, aunts/uncles and cousins cancel common measurement-error attenuation: raw parent-child correlations average .39, versus .77 for inferred underlying persistence. Independently, surnames selected as elite by 1858-87 wealth yield a per-generation status persistent coefficient of b=.82 for occupational status and .80 for house value]. The strength of status persistence remains unchanged 1600-2026.

Takeaways by Macro Roundup® AI

  1. Drawing on a genealogical database of 436,185 English people spanning 1600–2026 and records of about 1.7 million English marriages from 1837–2022, the authors estimate the underlying intergenerational correlation in social status at close to 0.8, higher than conventional measures indicate.
  2. The estimated correlation in social status implies that relatives as distant as nine generations apart still show correlated status, with the strength of persistence unchanged from 1600 to 2026.
  3. The authors argue that the Industrial Revolution, the Demographic Transition, the emancipation of women, universal voting, and the modern welfare state have not increased English social mobility rates, and that resources poured into raising mobility have achieved nothing.

AI Summary. The authors estimate that more than half of the rise in the top 1% income share since 1985 — 5.8 of 10.5 percentage points — flowed through pass-through businesses, counting roughly 3m wealthy private business owners with average net worth near $25m running law firms, dealerships, and medical practices.

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More than half the increase in the top 1% income share since 1985 flowed through pass-through businesses to ~ 3mm private business owners with a mean net worth of ~$25mm.

Did most of the top 1% income gain come from private businesses?

Core argument: Owen Zidar and Eric Zwick find that 5.8 of the 10.5 percentage-point rise in the U.S. top 1% income share since 1985 flowed through pass-through businesses, more than half of the increase.

The income that lifted America's top 1% did not come mainly from tech or Wall Street, according to Owen Zidar and Eric Zwick. More than half of the rise in the top 1% income share since 1985, 5.8 of 10.5 percentage points, flowed through pass-through businesses. Zidar and Zwick, counted roughly 3 million wealthy private business owners, with average net worth near $25 million, running law firms, car dealerships, medical practices, commercial contractors and regional restaurant chains, the kind of businesses that make their owners wealthy and well known in their own communities without ever making them nationally famous.

Takeaways by Macro Roundup® AI

  1. Owen Zidar and Eric Zwick find that 5.8 of the 10.5 percentage-point rise in the U.S. top 1% income share since 1985 flowed through pass-through businesses, more than half of the increase.
  2. Zidar and Zwick count roughly 3 million wealthy private business owners with average net worth near $25 million, running law firms, car dealerships, medical practices, commercial contractors and regional restaurant chains.
  3. The income that lifted America’s top 1% did not come mainly from tech or Wall Street, according to Zidar and Zwick, but from businesses whose owners are well known locally without becoming nationally famous.

AI Summary. Census data show the number of U.S. families with inflation-adjusted incomes above $150,000 grew from under 3m in 1967 to over 31m in 2025, while families earning under $75,000 fell by almost 3m in absolute terms. The share of families with multiple earners has not increased much over that period.

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In 1967, just 5.5% of American families had an inflation adjusted income of $150,000 or more. In 2025, 35.7% did. During that timeframe, the share of families with a real income less than $75,000 declined from 63.4% to 32.8%.

Are more American families reaching higher inflation-adjusted income levels?

Core argument: The number of U.S. families with incomes above $150,000 in 2025 inflation-adjusted dollars rose from fewer than 3 million in 1967 to over 31 million in 2025, according to Census data.

In 1967 there were fewer than 3 million families with incomes over $150,000 (in 2025 inflation-adjusted dollars). By 2025, that had grown to over 31 million families. If we look at the highest income threshold in this Census data — over $200,000 — the number of families has grown from just 1 million in 1967 to over 20 million in 2025. And there are fewer lower-income families too: the number of families under $75,000 shrunk, not just as a proportion of the total but even in absolute terms by almost 3 million families from 1967 to 2025. Of course, some of these families do have more earners than in 1967, though we shouldn’t overstate that too much. Using other data from Census, we can see that the share of families with multiple earners hasn’t increased much since 1967, and especially hasn’t since the mid-1990s.

Takeaways by Macro Roundup® AI

  1. The number of U.S. families with incomes above $150,000 in 2025 inflation-adjusted dollars rose from fewer than 3 million in 1967 to over 31 million in 2025, according to Census data.
  2. Families earning over $200,000, the highest income threshold in the Census data, grew from about 1 million in 1967 to over 20 million in 2025.
  3. Families with incomes under $75,000 declined by almost 3 million in absolute terms from 1967 to 2025, while Census data show the share of families with multiple earners has not increased much since 1967, and especially not since the mid-1990s.

AI Summary. The authors estimate the heritability of labor market outcomes by comparing the excess similarity of same-sex over opposite-sex twins with the corresponding difference among ordinary siblings. They caution that social interaction between twins, assortative mating, genetic dominance, population stratification, or indirect parental effects can bias such estimates upward or make them reflect non-genetic influences.

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Analysis of 44,500 twin pairs suggests ~one-third of the variation in log earnings is due to genetic differences – likely an upper bound, because same-sex twins may influence one another and share more similar environments than ordinary same-sex siblings.

How reliable are twin-based estimates of heritability in earnings?

Core argument: The authors identify heritability of U.S. labor market outcomes from a difference-in-differences comparing same-sex versus opposite-sex twins against the corresponding difference among ordinary siblings, adjusting for the estimated share of same-sex twins who are identical.

Our model identifies heritability from the difference-in-differences of same-sex vs. opposite-sex twins vs. siblings. [Specifically], the model attributes to genetic differences the excess similarity of same-sex over opposite-sex twins over and above the corresponding difference among ordinary siblings, adjusting for the estimated share of same-sex twins who are identical. The ordinary-sibling comparison is intended to remove family influences that differ between sons and daughters. Social interactions may lead to an over-estimate of the genetic component in earnings. The estimated heritability of outcomes may be biased in the presence of assortative mating, genetic dominance, population stratification, or violations of the assumption that the home environment is shared to the same degree for MZ as for DZ twins. Even when estimated without bias, heritability need not indicate direct genetic effects – it also may reflect indirect or cultural effects (e.g., effects of the parents’ genes on a child’s outcomes, not operating through the child’s own genes. Twins may [also] influence each other directly – for example in their choice of jobs -- inflating the correlation in their outcomes.

Takeaways by Macro Roundup® AI

  1. The authors identify heritability of U.S. labor market outcomes from a difference-in-differences comparing same-sex versus opposite-sex twins against the corresponding difference among ordinary siblings, adjusting for the estimated share of same-sex twins who are identical.
  2. Social interactions between twins, such as influencing each other’s job choices, may inflate the correlation in their outcomes and lead to an over-estimate of the genetic component in earnings.
  3. Estimated heritability may be biased by assortative mating, genetic dominance, population stratification, or unequal sharing of the home environment between identical and fraternal twins, and even unbiased estimates may reflect indirect or cultural effects such as parents’ genes.

AI Summary. Median U.S. household income rose 2.6% to $87,460, the highest level on record in data going back to 1967. Median income increased 3% for White households, 2.9% for non-Hispanic White households, and 4.8% for Black households, while changes for Asian and Hispanic households were not statistically significant.

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Real US median household income increased 2.6% year over year in 2025 to a record high of $87,460.

Has median U.S. household income reached its highest level on record?

Core argument: Median U.S. household income reached $87,460 in 2025, up 2.6% from $85,210 in 2024 and the highest on record in data dating back to 1967.

In 2025, median household income was $87,460, an increase of 2.6% from the 2024 estimate of $85,210. Household income in 2025 was the highest on record dating back to 1967. For all demographic characteristics of the householder the median household income estimates in 2025 were either higher than the 2024 estimates or were not statistically different from 2024. Median household income increased by 3% for White households, 2.9% for non-Hispanic White households, and 4.8% for Black households. Median income did not change significantly for Asian or Hispanic households.

Takeaways by Macro Roundup® AI

  1. Median U.S. household income reached $87,460 in 2025, up 2.6% from $85,210 in 2024 and the highest on record in data dating back to 1967.
  2. Median household income rose 4.8% for Black households, 3% for White households, and 2.9% for non-Hispanic White households in 2025, while Asian and Hispanic households saw no statistically significant change.
  3. Across all demographic characteristics of the householder, 2025 median household income estimates were either higher than or not statistically different from 2024 estimates.