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. 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.

AI Summary. The average American worker earns enough to buy 10,215 Big Macs a year, the most of any country, followed by Switzerland and Australia. On an hourly basis, Switzerland leads at seven Big Macs per hour, ahead of America's six and Australia's five, reflecting longer American working hours.

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The Economist’s venerable Big Mac Index is indicative of significantly higher after-tax, PPP-adjusted wages for American workers than for their French and German counterparts.

Which country's workers can buy the most Big Macs?

Core argument: The average American worker earns enough to buy 10,215 Big Macs a year, topping the McWages rankings, with Switzerland second and Australia third.

On an annual basis, America continues to top our McWages rankings. The average American worker earns enough to buy 10,215 Big Macs a year; Switzerland and Australia are in second and third place, respectively. But American working hours are supersized, too. On an hourly basis, Switzerland comes out on top: the average worker there earns the equivalent of seven Big Macs an hour, compared with America’s six. Australia ranks third, at five burgers for every hour worked.

Takeaways by Macro Roundup® AI

  1. The average American worker earns enough to buy 10,215 Big Macs a year, topping the McWages rankings, with Switzerland second and Australia third.
  2. On an hourly basis Switzerland leads, with the average worker earning the equivalent of seven Big Macs an hour, compared with six in the United States and five in Australia.
  3. American working hours are longer, which shifts the United States from first place on annual McWages to second on an hourly basis.

AI Summary. In a guaranteed income experiment, the gap between participant income and total household income fell by roughly $1,700 per year, which the authors attribute to lower earnings among other household members. Net transfers to extended family rose by about $135 per year, while measures of household stability, decision-making, and division of labor clustered near zero.

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In a randomized guaranteed-income experiment, giving one adult a transfer of $1,000/month for two years cut the other household members’ income by ~$1,700/year. Partners worked less and advanced less at work, while schooling and training among others rose.

How does guaranteed income affect other household members' earnings?

Core argument: In the guaranteed income experiment, the gap between participant income and total household income fell by about $1,700 per year (s.e. $800), a decline that appears to reflect lower earnings among other household members.

Figure 4 summarizes treatment effects on the standardized family-level indices. The transfers’ effects reshaped the income and employment of other household members. The gap between participant income and total household income fell by about $1,700 per year (s.e. $800). The decline appears to reflect lower earnings among other household members. Effects on employment outcomes are consistent with this interpretation. Partner promotions and transitions to better jobs decrease significantly, but these effects are very small in magnitude. Partner hours and employment show more meaningful declines but are not significant in the unconditional analysis. Several other measures provide supporting evidence of negative effects on labor supply. Net transfers—the value given [to extended family] minus the value received—increased by roughly $135 per year. Estimates for household stability, decision-making, and the division of labor cluster near zero.

Takeaways by Macro Roundup® AI

  1. In the guaranteed income experiment, the gap between participant income and total household income fell by about $1,700 per year (s.e. $800), a decline that appears to reflect lower earnings among other household members.
  2. Partner promotions and transitions to better jobs decreased significantly but were very small in magnitude, while partner hours and employment showed more meaningful declines that were not significant in the unconditional analysis.
  3. Net transfers to extended family—value given minus value received—rose by roughly $135 per year, while estimates for household stability, decision-making, and the division of labor cluster near zero.

AI Summary. The authors find cognitive ability test scores predict capital income, with the gradient in log capital income about 3x steeper than for labor income, and only partly explained by labor earnings. Higher-ability individuals are associated with higher saving rates and higher risk-adjusted returns while holding portfolios with lower systematic risk.

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Cognitive ability positively predicts capital as well as labor income, with the capital-income gradient ~3x as large in % terms. This reflects both higher saving rates and higher risk-adjusted returns, neither fully explicable by earnings.

Does cognitive ability predict capital income more strongly than labor income?

Core argument: Cognitive ability, measured on a 1–9 test-score scale, predicts capital income, with a log-income gradient roughly three times steeper than the labor income gradient; in rank terms the labor gradient is steeper, because capital income's heavy right tail compresses rank differences.

We document three results. First, cognitive ability predicts capital income. Figure 2 plots mean log income and mean income rank against the nine cognitive ability scores reporting test performance on a 1–9 scale, with both series normalized to zero at the lowest score. In the log specification (Panel a), the capital income gradient is roughly three times steeper than the labor income gradient. In the rank specification (Panel b), the ordering reverses: the labor income gradient is steeper, because the heavy right tail of capital income compresses rank differences. Figure 3 provides a complementary perspective, plotting average cognitive ability across percentiles of the labor and capital income distributions. [The relationship between ability and rank flattens at the top of the labor distribution but strengthens at the top of the capital distribution.] Second, the capital-income gradient is only partially explained by labor income: a decomposition shows that ability is associated with higher saving rates and investment returns through channels beyond labor income. Third, the investment return channel is consistent with skill rather than risk compensation, as high-ability individuals earn higher risk-adjusted excess returns while holding portfolios with lower systematic risk.

Takeaways by Macro Roundup® AI

  1. Cognitive ability, measured on a 1–9 test-score scale, predicts capital income, with a log-income gradient roughly three times steeper than the labor income gradient; in rank terms the labor gradient is steeper, because capital income's heavy right tail compresses rank differences.
  2. The capital-income gradient is only partially explained by labor income: a decomposition shows cognitive ability is associated with higher saving rates and higher investment returns through channels beyond labor income.
  3. High-ability individuals earn higher risk-adjusted excess returns while holding portfolios with lower systematic risk, a pattern consistent with skill rather than risk compensation.

AI Summary. The measured corporate labor share fell from 63% in 1978 to 58% in 2017, but the authors estimate that tax-driven reclassification of wages as S corporation profit and the shift of high-labor-share firms into partnerships account for about 1.6 percentage points, roughly a third of the decline.

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A third of the 9pp drop in labor’s share of corporate income btw 2000 and 2025 is due to tax policy changes that incentivized business migration to partnerships, relabeling some earnings of the top 1% as pass-through income, lowering reported wages.

Does tax-driven business reclassification explain part of the falling labor share?

Core argument: The corporate-sector labor share fell from 63% in 1978 and about 64% in 2000 to 58% in 2017 and 55% in 2025, a headline decline of 5 percentage points from 1978 to 2017.

The corporate-sector labor share was 63% in 1978, fluctuated modestly through the 1980s and 1990s, and still stood near 64% in 2000. Then it fell to 58% in 2017 and 55% in 2025. Change of label pulls down the measured labor share because the national accounts count S corporation profit as capital income. When we add these recharacterized wages back into the labor income bucket, then the corporate labor share in 2017 is about 0.9 percentage points higher. In addition, many firms have left the corporate sector and reorganized as partnerships. Partnership profit has grown from 13% of all business profit in 1980 to 35% today. These partnerships have labor shares more than 10 percentage points higher than the corporate firms left behind. As these high-labor-share businesses left, the corporate sector that remained looked more capital-heavy than it used to. When we treat the partnership activity that migrated out since 1986 as if it had stayed in corporate form, the 2017 labor share is another 0.7 percentage points higher. These two corrections together are worth about 1.6 percentage points. The headline decline from 1978 to 2017 was 5 points. Our adjusted decline is 3.4. Thus, the tax code accounts for roughly a third of the decline.

Takeaways by Macro Roundup® AI

  1. The corporate-sector labor share fell from 63% in 1978 and about 64% in 2000 to 58% in 2017 and 55% in 2025, a headline decline of 5 percentage points from 1978 to 2017.
  2. Adding back S corporation profit that reflects recharacterized wages raises the 2017 corporate labor share by about 0.9 percentage points, since the national accounts count such profit as capital income.
  3. Partnership profit rose from 13% of all business profit in 1980 to 35% today, and treating partnership activity that migrated out since 1986 as corporate adds another 0.7 percentage points, leaving an adjusted 1978–2017 decline of 3.4 points.

AI Summary. A young K-12 teacher in New York City earns $62,000 versus $37,000 in Jackson, Mississippi, where teacher pay is the nation's lowest. After adjusting for housing, commuting, taxes, and other cost-of-living differences, the New York City teacher is worse off, suggesting salaries are not a source of savings.

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A young teacher in NYC earns $62,000 dollars, compared to the $37,000 earned by a peer teacher in Jackson, Mississippi. Aziz Sunderji finds that “after housing, commute, taxes, and other cost-of-living differences, the NYC teacher is actually worse off.”

Do higher big-city teacher salaries leave teachers better off after costs?

Core argument: A young K-12 teacher in New York City, the country's most expensive school district, earns $62,000, versus $37,000 for a comparable teacher in Jackson, Mississippi, where teacher pay is the nation's lowest.

A young K-12 teacher in New York City—the most expensive school district in the country—earns $62,000. A comparable teacher in Jackson, Mississippi, where teacher pay is the nation’s lowest, earns $37,000. Could salaries be a source of savings, helping to bring school costs here closer to the national average? The chart suggests not: after housing, commute, taxes, and other cost-of-living differences, the NYC teacher is actually worse off.

Takeaways by Macro Roundup® AI

  1. A young K-12 teacher in New York City, the country's most expensive school district, earns $62,000, versus $37,000 for a comparable teacher in Jackson, Mississippi, where teacher pay is the nation's lowest.
  2. After housing, commute, taxes, and other cost-of-living differences, the New York City teacher is worse off than the Jackson, Mississippi teacher despite the $25,000 higher salary.
  3. Teacher salaries appear unlikely to be a source of savings for bringing New York City school costs closer to the national average.