Edward Conard

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Piketty’s rising share of capital income and the US housing market

AI Summary. The rise in the US housing share of capital income is driven mainly by imputed rent accruing to owner-occupiers, which grew from under 2% in 1950 to nearly 5% in 2014, and is concentrated in states with constrained housing supply. The authors link this to declining real interest rates and inflation, higher housing prices, and wealth concentrated among landowners.

Gianni La Cava VoxEU
Date Posted:
October 14, 2016
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The rise in US housing capital income share is driven by imputed rent, growing from 2% in 1950 to 5% in 2014. Concentrated in states with constrained housing supply, this trend highlights wealth concentration among landowners.

The rise in US housing capital income share is driven by imputed rent, growing from 2% in 1950 to 5% in 2014. Concentrated...

Is the rising capital income share driven by homeowners' imputed rent?

Core argument: Imputed rent accruing to US owner-occupiers rose from under 2% of income in 1950 to nearly 5% in 2014, the primary driver of the rise in the US housing capital income share.

The rise in the US housing capital income share is primarily driven by an increasing share of income accruing to owner-occupiers through imputed rent, which has grown from under 2% in 1950 to nearly 5% in 2014. This trend is concentrated in states with constrained housing supply, where the share of housing capital income has increased from 5% of GDP in the 1960s to 7% recently. The phenomenon is linked to a long-term decline in real interest rates and inflation since the 1980s, contributing to higher housing prices and concentrating wealth among landowners. This shift underscores the role of housing in income distribution and highlights potential implications for intergenerational inequality.

Takeaways by Macro Roundup® AI

  1. Imputed rent accruing to US owner-occupiers rose from under 2% of income in 1950 to nearly 5% in 2014, the primary driver of the rise in the US housing capital income share.
  2. In US states with constrained housing supply, the share of housing capital income climbed from 5% of GDP in the 1960s to 7% recently.
  3. The rise in housing capital income is linked to a long-term decline in real interest rates and inflation since the 1980s, which contributed to higher housing prices and concentrated wealth among landowners.

Gianni La Cava, "Piketty’s rising share of capital income and the US housing market," VoxEU. October 8, 2016, http://voxeu.org/article/piketty-s-housing-capital-results-new-us-facts
Interesting ~ Rognlie insight that that the changes in net capital income share is mainly due to the housing sector. But outside of that it does offer support for your idea that a great deal of compensation is just captured my land owners even though he explicitly says its' largely a story of "landed gentry are predominantly home owners, not private landlords" Also Figure 2 is a good example of how beating up on the banks has driven income inequality. When you limit access to credit you also lock people with poor credit risk out from the upside of a housing rebound. "...My results suggest that the ‘rise of housing’ is intimately linked to the same factors that underpin ‘secular stagnation’ (Summers 2014) - that is, the gradual decline in real (and nominal) interest rates since the 1980s has contributed to a gradual run-up in housing prices, and led to household wealth and income being increasingly concentrated in the hands of landownersThe decomposition of the national accounts by type of housing indicates that the secular rise ismainly due to a rising share of imputed rent going to owner-occupiers.The owner-occupier share of aggregate income has risen from just under 2% in 1950 to close to 5% in 2014 (top panel of Figure 2). The share of income going to landlords (i.e. market rent) has also doubled in the post-war era.But, in aggregate, the effect of imputed rent is larger simplybecause there are nearly twice as many home owners as renters in the US economy. A similar phenomenon is observed in the personal consumption expenditure data (bottom panel of Figure 2). In other words, today’s landed gentry are predominantly home owners, not private landlords....For 50 years, the share of total housing capital income going to the supply-elastic states has been unchanged at about 3% of GDP (Figure 3). In contrast, the share going to the supply-inelastic states has risen from around 5% in the 1960s to 7% of GDP more recently. Notably, these divergent trends in housing capital income are not due to a few ‘outlier’ states where housing supply is particularly constrained, such as New York or California - instead, there is a clear negative correlation between the long-run growth in housing capital income and the extent to which housing supply is constrained across all states (Figure 4)."

Authors’s note: The author completed this project while visiting the Bank for International Settlements under the Central Bank Research Fellowship program. The views expressed in this column and the associated paper are those of the author only and do not necessarily reflect the views of the Reserve Bank of Australia or the Bank for International Settlements. The author is solely responsible for any errors.ReferencesEndnotes

Albouy, D, G Ehrlich, and Y Liu (2014), “Housing Demand and Expenditures: How Rising Rent Levels Affect Behavior and Cost-Of-Living over Space and Time”, Paper presented at CEP/LSE Labour Seminar, London, 28 November.

Bonnet, O, P-H Bono, G Chapelle, and E Wasmer (2014), “Does Housing Capital Contribute to Inequality? A Comment on Thomas Piketty's Capital in the 21st Century”, Sciences Po Economics Discussion Paper No 2014-07.

Economist, (2015), ‘The Paradox of Soil’, 4 April, 18-20.

Ellis, L (2005), “Disinflation and the Dynamics of Mortgage Debt”, Investigating the Relationship between the Financial and Real Economy, BIS Papers No 22, Bank for International Settlements, 5-20.

La Cava, G (2016), `Housing Prices, Mortgage Interest Rates and the Rising Share of Capital Income in the United States’, Reserve Bank of Australia Research Discussion Paper, No 2016-04. Also published as BIS Working Papers No 572, Bank for International Settlements.

Piketty, T (2014), Capital in the Twenty-First Century,trans. A Goldhammer, The Belknap Press of Harvard University Press, Cambridge.

Piketty, T, and G Zucman (2014), “Capital is Back: Wealth-Income Ratios in Rich Countries 1700-2010”, The Quarterly Journal of Economics, 129 (3), 1255-1310.

Rognlie, M (2015), “Deciphering the Fall and Rise in the Net Capital Share: Accumulation or Scarcity?”, Brookings Papers on Economic Activity, Spring, 1-54.

Saiz, A (2010), “The Geographic Determinants of Housing Supply”, The Quarterly Journal of Economics,125 (3), 1253-1296.

Smith, N (2015), “The Threat Coming by Land”, Bloomberg View,9 September.

Sommer, K, P Sullivan, and R Verbrugge (2013), “The Equilibrium Effect of Fundamentals on House Prices and Rents”, Journal of Monetary Economics, 60 (7), 854-870.

Stiglitz, J E (2015), “New Theoretical Perspectives on the Distribution of Income and Wealth among Individuals: Part IV: Land and Credit”, NBER Working Paper No 21192.

Summers, L H (2014), “Reflections on the New ‘Secular Stagnation Hypothesis’”, VoxeEU.org, October 30 2014.

Torrini, R (2016), “Labour, Profit and Housing Rent Shares in Italian GDP: Long-Run Trends and Recent Patterns”, Banca D’Italia Questioni di Economia e Finanza, No 318.

Weil, D N (2015), “Capital and Wealth in the Twenty-First Century”, The American Economic Review,105 (5), 34-37.

The landed gentry was an historical British social class consisting of land owners who lived mainly off rental income.

The long-run rise in the `housing capital share’ of the US economy is not specific to the national accounts, but can also be observed across a range of US household surveys (Albouy, et al. 2014).

Structural factors such as an increase in the home ownership rate and an increase in the average size and quality of housing are important in explaining the increase in the housing capital income share in the period immediately after the Second World War. However, these structural factors appear to have been less important in explaining the ‘rise of housing’ in the period since the early 1980s.

Note: Housing capital income measured as the net operating surplus of the housing sector
Source: Bureau of Economic Analysis

Figure 2. Housing capital income and expenditure

My results also potentially speak to a new literature on the distributional effects of monetary policy. This literature is still in its infancy, but it is surprising how little research there has been on the link between monetary policy and inequality via the housing sector. As is well-known, for most advanced economies housing assets typically comprise the largest share of total wealth for most households. Moreover, imputed rent for owner-occupiers often makes up the largest share of total household spending in the national accounts. The link between monetary policy and inequality via housing prices and imputed rent should therefore be a fruitful area of future research.

My research highlights the important role of housing in not only the distribution of wealth, but also the distribution of income in the US. Indeed, the observed increase in the share of aggregate income going to housing capital might even understate the importance of housing prices for the income distribution. The non-housing capital income share has been stable for several decades (as shown in Figure 1), but within the non-housing sector, there has been an increase in the share of capital income going to financial corporations. Much of the income flowing to the financial sector is likely related to the growth in intermediation services - services that are traditionally dependent on housing collateral and, ultimately, land prices.

The results are robust to different measures of housing capital income, to controls for observable state-level characteristics (e.g. population and income growth), and to unobservable state factors that do not vary with time (e.g. local amenities and distance to the coast).

The results are consistent with the argument that consumer price disinflation and the deregulation of the US mortgage market during the 1980s and 1990s acted as positive credit supply shocks (with high inflation and credit market regulation in the 1970s acting as artificial borrowing constraints). The associated decline in nominal interest rates lowered the cost of owning a home and increased the demand for housing for credit-constrained households (Ellis 2005). The resulting increase in housing demand led to higher relative prices for land in areas that were constrained in terms of new housing supply. This rise in the relative price of land, in turn, led to an increase in the share of nominal spending on housing.3 Sommer et al. (2013) and Stiglitz (2015) outline theories that are consistent with this story.

In a state-level panel regression framework, there is a strong negative correlation between the housing capital income share and nominal interest rates. Moreover, a simple decomposition using the Fisher equation reveals that the rise in housing capital income across states and over time is associated with declines in both real interest rates and consumer price inflation.

Finally, I provide statistical evidence that the rise in the share of housing capital income in recent decades is correlated with declines in both real interest rates and inflation, with these effects being particularly strong in supply-constrained states.

Notes: Share of housing capital income measured as housing gross operating surplus divided by GDP at state level; the estimated correlation coefficient shown is −0.52
Sources: Author's calculations; Bureau of Economic Analysis; Saiz (2010)Result 3: Interest rates (and inflation) matterImplications and directions for future research

Figure 4. Housing capital income growth and the elasticity of housing supply (1980-2014 average)

Notes: Housing capital income measured as the gross operating surplus of the real estate sector; the analysis abstracts from changes in depreciation due to the data being unavailable at the level of US state
Sources: Author's calculations; Bureau of Economic Analysis; Saiz (2010)

Figure 3. Contributions to gross housing capital income (as a share of total GDP)

The geographic decomposition reveals that the long-run rise in the housing capital income share is fully concentrated in states that face housing supply constraints. To see this, I divide the states into ‘elastic’ and ‘inelastic’ groups based on whether the state is above or below the median housing supply elasticity index (as measured by Saiz 2010). This index captures both geographical and regulatory constraints on home building across different US regions. For 50 years, the share of total housing capital income going to the supply-elastic states has been unchanged at about 3% of GDP (Figure 3). In contrast, the share going to the supply-inelastic states has risen from around 5% in the 1960s to 7% of GDP more recently. Notably, these divergent trends in housing capital income are not due to a few ‘outlier’ states where housing supply is particularly constrained, such as New York or California - instead, there is a clear negative correlation between the long-run growth in housing capital income and the extent to which housing supply is constrained across all states (Figure 4).

Note: Housing capital income measured as the net operating surplus of the housing sector
Source: Bureau of Economic AnalysisResult 2: Housing supply constraints matter

Figure 2. Housing capital income and expenditure

The decomposition of the national accounts by type of housing indicates that the secular rise is mainly due to a rising share of imputed rent going to owner-occupiers. The owner-occupier share of aggregate income has risen from just under 2% in 1950 to close to 5% in 2014 (top panel of Figure 2). The share of income going to landlords (i.e. market rent) has also doubled in the post-war era. But, in aggregate, the effect of imputed rent is larger simply because there are nearly twice as many home owners as renters in the US economy. A similar phenomenon is observed in the personal consumption expenditure data (bottom panel of Figure 2). In other words, today’s landed gentry are predominantly home owners, not private landlords.

My results suggest that the ‘rise of housing’ is intimately linked to the same factors that underpin ‘secular stagnation’ (Summers 2014) - that is, the gradual decline in real (and nominal) interest rates since the 1980s has contributed to a gradual run-up in housing prices, and led to household wealth and income being increasingly concentrated in the hands of landowners. This in turn may have implications for intergenerational inequality, given that the home is a key mechanism through which wealth and income are transferred across generations.

This investigation reveals three things about the rise in the US housing capital income share in recent decades. First, it has occurred due to an increasing share of income accruing to owner-occupiers through imputed rent. Second, it is concentrated in states that are constrained in terms of new housing supply. Finally, it is closely associated with the long-run decline in real interest rates and inflation.

In the US national accounts, income accruing to the housing sector is measured as ‘net housing capital income’, or simply, net rental income (i.e. gross rents less housing costs, such as depreciation and property taxes). This measure includes rental income going to both owner-occupiers (imputed rent) and landlords (market rent).2 The very detailed nature of the Bureau of Economic Analysis’ regional economic accounts allows for similar estimates of housing capital income to be constructed for each US state spanning several decades.

In a new paper, I examine the determinants of the rise in the US housing capital income share over recent decades (La Cava 2016). I build upon the foundations set by Piketty and Zucman (2014), but rather than focusing on trends at the national level, I dig deeper and decompose the US national accounts data by different types of housing (e.g. owner-occupied and tenant-occupied) and, even more importantly, by US state. To the best of my knowledge, my paper is the first to explore the determinants of the secular rise in the housing share of the economy by exploiting both cross-sectional and time-series variation in factors such as housing prices, interest rates and housing supply constraints.

So are we seeing the rise of a new `landed gentry’?1 And, if we are, what might explain it? Several research papers (e.g. Bonnet et al. 2014, Rognlie 2015, Weil 2015), print articles (e.g. Economist 2015) and blogs (e.g. Smith 2015) have hypothesised that the long-run increase in the housing income share is due to factors such as lower interest rates, higher mortgage debt, and constraints on home building, due to either geographic constraints or land zoning restrictions. But there is comparatively scarce empirical evidence to confirm these hypotheses.

Recent research has shown that the long-run rise in the net capital income share is mainly due to the housing sector (e.g. Rognlie 2015, Torrini 2016 - see Figure 1). This phenomenon is not specific to the US but has been evident in almost every advanced economy. This suggests that it is not entrepreneurs and venture capitalists that are taking an increasing share of the economy, but land owners.

Notes: Net capital income is equal to net operating surplus, or gross operating surplus less depreciation; net domestic income is equal to gross domestic product less total depreciation
Sources: Author's calculations; Bureau of Economic Analysis; Piketty and Zucman (2014)Result 1: It’s (mainly) an owner-occupier story

Figure 1.Net capital income, US (share of net domestic income)

A key observation in Thomas Piketty’sCapital in the Twenty-First Century(Piketty 2014) is that the share of aggregate income accruing to capital in the US has been rising steadily in recent decades (Figure 1). The growing disparity between the income going to wage earners and capital owners has led to calls for government intervention. But for such interventions to be effective, it is important to ask who the capital owners are.

The rising share of income accruing to housing is a key feature of the changing US income distribution. This column examines the determinants of this phenomenon. The rise occurred due to an increasing share of income accruing to owner-occupiers through imputed rent, it is concentrated in states that are constrained in terms of new housing supply, and it is closely associated with the long-run decline in real interest rates and inflation.

Gianni La Cava 08 October 2016

Piketty’s rising share of capital income and the US housing market

  • Inequality
  • GDP
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  • Workforce
Previous articleSeptember 21, 2016What Happens to Wages When Refugees Arrive? More Than You Might ThinkRefugee supply shocks can have complex & sizable impacts on labor markets, benefiting some while disadvantaging others. @JeffreySparshottNext articleOctober 19, 2016Global Talent FlowsHigh-skilled migrants are moving from diverse countries to a select few, notably the US, UK, Canada, and Australia. In 2010, these 4 countries attracted nearly 70% of high-skilled migrants to the OECD.
Showing 160 database articles primarily about Inequality

A College-by-College Guide to Which Majors Pay Off — or Don’t

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.

Arfa Momin and Ron Lieber New York Times
Date Posted:
October 8, 2026
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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.

Related Articles:

  • Do Adults Have the Skills They Need to Thrive in a Changing World? — An international assessment of adult skills describes numeracy proficiency levels ranging from counting objects and adding small whole numbers at the lowest level, to extracting information from tables and graphs and performing basic arithmetic with money and percentages at Level 1, up to analysing complex mathematical information and critically evaluating whether data support a claim at Level 5.
  • Have Humans Passed Peak Brain Power? — The share of Americans reporting they read a book in the past year has fallen below half, alongside declining performance in numeracy and problem-solving in most countries. The share of adults unable to use mathematical reasoning to evaluate the validity of statements averages 25% in high-income countries and 35% in the US.
  • Standardized Test Scores and Academic Performance at a Public University System — A study of a large public urban university system finds that high school grade point average is a far stronger predictor of student academic success than SAT scores, contrasting with analyses of highly selective colleges that found the SAT superior. Under-represented minority students were less likely to graduate within six years at every grade point average level.
  • Inequality
  • Workforce
    • Education
      • College
      • Test Scores
    • Wages/Income

To Have and Have Not: The Determinants of Social Status in England, 1600-2026

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.

Gregory Clark Southern Denmark University
Date Posted:
October 6, 2026
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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.

Related Articles:

  • The Inheritance Of Social Status: England, 1600 to 2022 — Using a genealogical database of 422,374 English people with rarer surnames, the authors find social status persists strongly even among distant relatives, with status correlations declining by a constant factor of 0.79 per step in the lineage across all status measures and eras studied. The authors argue this constancy suggests social interventions have modest effects.
  • The Myth of Nordic Mobility: Social Mobility Rates in Modern Denmark and Sweden — Correcting for measurement error by using relative rather than absolute correlations among relatives, the authors estimate that educational intergenerational mobility in Denmark and Sweden is much lower than conventionally measured, with parent-child and sibling correlations much higher. They argue Nordic education spending and income compression have at best modestly reduced families' role in children's educational outcomes.
  • For Whom the Bell Curve Tolls: A Lineage of 400,000 English Individuals 1750-2020 Shows Genetics Determines Most Social Outcomes — A study of 402,000 English individuals across 1750–2020 estimates an intergenerational occupational status correlation of 0.88 and a genetic correlation between spouses of 0.76, which the authors interpret as a strong genetic basis for the persistence of social status. The authors argue that highly assortative mating around status genetics limits what policy can do to raise social mobility.
  • Inequality
  • Politics
  • Workforce

Heritability and Social Interaction in Labor Market Outcomes: Evidence from the Population of Twins in the United States

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.

David Card, Jesse Rothstein and Moises Yi National Bureau of Economic Research
Date Posted:
September 16, 2026
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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.

Related Articles:

  • IQ Differences of Identical Twins Reared Apart Are Significantly Influenced by Educational Differences — An analysis of 87 identical-twin pairs raised apart with individual IQ and biographical data finds that pairs with similar schooling had an average IQ gap of 5.8 points and a correlation of 0.87, while educationally dissimilar pairs averaged a 12.8-point gap and a 0.75 correlation.
  • The Inheritance Of Social Status: England, 1600 to 2022 — Using a genealogical database of 422,374 English people with rarer surnames, the authors find social status persists strongly even among distant relatives, with status correlations declining by a constant factor of 0.79 per step in the lineage across all status measures and eras studied. The authors argue this constancy suggests social interventions have modest effects.
  • A Chip Off the Old Block? Genetics and the Intergenerational Transmission of Socioeconomic Status — Linking Dutch genetic data to tax records, the authors estimate that moving a person 10 percentiles higher in a genetic index raises their own income by 0.9 percentiles and their child's by 0.7 percentiles. They attribute about 50% of this to transmitted genes and the rest to environmental pathways.
  • Inequality
  • Workforce
    • Wages/Income

Recent Trends in Personal Income & Wage Inequality

AI Summary. In New York City, income shares at the top of the distribution rose faster than nationally, with nearly two-thirds of real income growth accruing to the top 1% versus under 40% nationally, a divergence driven predominantly by non-wage income. Real median income fell, and real average income for the bottom 90% was essentially flat.

Jonathan Siegel and Jason Bram Office of the New York City Comptroller
Date Posted:
September 8, 2026
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Btw 2019 and 2024, pre-tax, pre-transfer real median income in New York City fell 3.2%. The top .1% tax units, ~ households, (mean income ~$24mm) saw real growth of ~25%, whereas the bottom 90% (mean income ~$45,000) fell 0.8%.

Is rising income concentration in a major city driven by non-wage income?

Core argument: Nearly two-thirds of New York City's real income growth between 2019 and 2024 accrued to the top 1%, compared with under 40% nationally, a result that holds when volatile capital gains are excluded.

Between 2019 and 2024, the New York City’s income shares at the top of the distribution rose faster than the nation's, and nearly two-thirds of the real income growth over the period accrued to the top 1%, compared with under 40% nationally. The result also holds when volatile capital gains are excluded. Real median income fell over the period, and real average income for the bottom 90% of tax units was essentially flat. Adjusted for local prices (but not for transfer programs), the purchasing power of income for the lower 90% of New Yorkers is close to one-fifth below that of the bottom 90% nationally. The divergence at the top is predominantly a story of non-wage income. Wage and salary income shows a much milder widening, and occupational wage data that exclude bonuses show base pay growing faster in lower-wage occupations than in higher-wage ones, and within many occupational groups wages are converging rather than growing more unequal.

Takeaways by Macro Roundup® AI

  1. Nearly two-thirds of New York City's real income growth between 2019 and 2024 accrued to the top 1%, compared with under 40% nationally, a result that holds when volatile capital gains are excluded.
  2. Real median income in New York City fell between 2019 and 2024 and real average income for the bottom 90% of tax units was essentially flat, with local-price-adjusted purchasing power for the lower 90% of New Yorkers close to one-fifth below that of the bottom 90% nationally.
  3. The divergence at the top of New York City's distribution is predominantly a story of non-wage income, with wage and salary income widening much more mildly and occupational wage data excluding bonuses showing base pay growing faster in lower-wage occupations than higher-wage ones.

Related Articles:

  • As New Jobs In Finance Dry Up, New York City’s Fiscal Model Is Wilting — New York state's share of US taxpayers reporting over $1m in income fell from 12.7% in 2010 to 8.7% in 2022, and the Citizens Budget Commission estimates state and city income tax receipts from that group would have been $13bn higher had the share held. Job growth has concentrated in lower-paid health care and social assistance.
  • Where is Standard of Living the Highest? Local Prices and the Geography of Consumption — The authors estimate that geographical differences in cost of living are especially large for low-income US households, and that expensive cities offer college graduates a standard of living similar to affordable cities while offering less-educated households a lower one. A high school dropout household moving from the most affordable to the most expensive commuting zone would see consumption fall 18.5%.
  • The Demographic Trends That Shaped Mamdani’s Win — In New York City's mayoral race, Mamdani's average margin was 30 points in precincts with a median age under 45, and voters under 45 made up 43% of in-person ballots versus 36% in the prior governor's race. He won by over 50 points in neighborhoods where the white population share grew and the Black or Hispanic share declined.
  • Inequality
  • Politics
  • Workforce
    • Wages/Income

US Corporate Profits Surge To Record As Worker Payouts Wilt

AI Summary. US pre-tax corporate profits reached an annualised $4.8tn, or 18% of national income, the highest share since the aftermath of World War II, according to Bureau of Economic Analysis data. Employees' share from wages and benefits fell to 60%, the lowest since the 1950s, with the decline gaining pace in recent years.

Myles McCormick Financial Times
Date Posted:
August 28, 2026
Is Database:
Database

Corporate profits have risen to 18% of national income, their highest share since 1947, while labor’s share has fallen to 60%, a low not seen since the 1950s. The decline in labor’s share has accelerated over the past year.

Are corporate profits taking a record share of national income from workers?

Core argument: US pre-tax corporate profits reached an annualised $4.8tn in the second quarter, or 18% of national income, the highest share since the aftermath of the second world war, according to Bureau of Economic Analysis data.

Pre-tax earnings hit an annualised $4.8tn in the second quarter, or 18% of national income, according to Bureau of Economic Analysis data, the highest share since the aftermath of the second world war. Employees’ share from wages and benefits fell to 60%, the lowest level since the 1950s. “Regardless of what measure you look at, workers, in terms of employee compensation, have been receiving an increasingly small share of national income over time,” said Abiel Reinhart, an economist at JPMorgan. The decline in labour’s share of income has gained pace in the past five years and especially over the past 12 months.

Takeaways by Macro Roundup® AI

  1. US pre-tax corporate profits reached an annualised $4.8tn in the second quarter, or 18% of national income, the highest share since the aftermath of the second world war, according to Bureau of Economic Analysis data.
  2. Employees' share of national income from wages and benefits fell to 60%, the lowest level since the 1950s, with the decline gaining pace over the past five years and especially the past 12 months.
  3. Abiel Reinhart, an economist at JPMorgan, said that regardless of the measure used, workers have been receiving an increasingly small share of national income over time.

Related Articles:

  • The Post‑COVID Decline in the Labor Share — The share of US national income paid to workers fell 1.6 percentage points below its pre-pandemic level, reaching a post-war low. The authors find this decline stems mainly from changes within industries rather than shifts in activity across sectors, following cyclical patterns seen in earlier recessions.
  • Are US Corporate Profit Margins Too High? — US after-tax non-financial corporate profit margins remain elevated by historical standards, estimated at 7.6% versus a post-1949 high of 8.2%, while employee pay as a share of non-financial corporate gross value added has fallen from 66% to 56%. One argument holds that subdued demographic growth leads companies to prioritize maximizing margins over expanding capacity.
  • Why the Labor Share Keeps Falling: Taxes! — 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.
  • Inequality
  • GDP
    • Financial Markets
  • Politics
  • Workforce

The Rise Of The Deserving Rich

AI Summary. An analysis of about 7,000 billionaires over the past 25 years classifies wealth as "uncompetitive" when it derives from inheritance or from sectors such as gambling, construction, defence, and raw materials that often depend on political access. The authors find half of global billionaire wealth now comes from self-made entrepreneurs in competitive sectors, an all-time high.

Economist Staff The Economist
Date Posted:
July 24, 2026
Is Database:
Database
Is Important:
Important

An Economist analysis of the wealth of 7,000 billionaires finds that over the past decade, the share of billionaire wealth “derived from self-made entrepreneurs in competitive sectors has surged to an all-time high.”

Is a growing share of billionaire wealth self-made in competitive industries?

Core argument: For the first time, half the wealth of the world's billionaires is reasonably fairly earned, with the share derived from self-made entrepreneurs in competitive sectors reaching an all-time high over the past decade.

Drawing on data from Forbes, a magazine, Hurun, a research firm, and Gapminder, a Swedish foundation, we have assembled a list of about 7,000 billionaires from the past 25 years. We call a billionaire’s wealth “uncompetitive” when it mainly comes from industries such as gambling, construction, defence, and raw materials. These sectors often depend on political access. We count inheritors in the “uncompetitive” category. From 2001, when our data begin, to 2014, the uncompetitive share of billionaire wealth rose slightly. Yet over the past decade, the share derived from self-made entrepreneurs in competitive sectors has surged to an all-time high. For the first time, half the wealth of the world’s billionaires is reasonably fairly earned. And since 2021, the total wealth derived from uncompetitive sectors has declined.

Takeaways by Macro Roundup® AI

  1. For the first time, half the wealth of the world's billionaires is reasonably fairly earned, with the share derived from self-made entrepreneurs in competitive sectors reaching an all-time high over the past decade.
  2. A list of about 7,000 billionaires from the past 25 years, assembled from Forbes, Hurun and Gapminder data, classifies wealth as "uncompetitive" when it mainly comes from industries such as gambling, construction, defence and raw materials, which often depend on political access.
  3. The uncompetitive share of billionaire wealth, which counts inheritors, rose slightly from 2001 to 2014, and the total wealth derived from uncompetitive sectors has declined since 2021.

Related Articles:

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  • America’s Support for Capitalism Has Declined Over Last Decade — Just under half of Americans say capitalism is working very or somewhat well, down from 60% about a decade ago, according to a Wall Street Journal-NORC survey. Only 12% say democracy is working very or extremely well, and 16% say average citizens have considerable influence on politics.
  • The Economics of Inequality in High-Wage Economies — Information technology created investment opportunities exceeding the supply of properly trained talent, while trade with low-wage economies, low-skilled immigration, trade deficits, and aging demographics eased constraints on low-skilled labor and risk-averse savings. The author argues this framework, rather than rising cronyism, explains high returns to success, slowing productivity growth, and low interest rates.
  • Inequality
  • Politics
  • Workforce
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