Picture two young adults with nearly identical salaries. One buys a house in their thirties; the other keeps renting and watching listings. What separates them often has less to do with their own earnings than with whether their parents owned a home, and how valuable that home was. A new study suggests that housing wealth passes down through American families more reliably than income does, and that the gap is widest at the top.
That finding comes from a working paper circulated through the National Bureau of Economic Research. The authors set out to measure something that has long been hard to see in the data: how much a parent’s housing wealth shapes a child’s, and what that says about the way economic advantage moves from one generation to the next.
A gap in what we measure
Most research on economic mobility tracks income, partly because income is what tax records capture well. But housing usually generates no yearly income flow, so it slips through the cracks of income-based studies. That matters because, for most American families, a house is the single largest store of wealth. According to a 2022 Census survey cited in the paper, the median homeowning household held about $398,000 in wealth, while the median renting household held roughly $9,000.
The economic theory the authors draw on, developed decades ago by Gary Becker and Nigel Tomes, suggests that less wealthy families pour most of their resources into a child’s education and skills, while richer families also pass along assets directly. If that holds, then “nonhuman” capital like a house might travel across generations more stubbornly than earning power does, because assets can be handed over directly while skills can only be encouraged.
Ariel Binder and John Voorheis of the U.S. Census Bureau, working with Max Risch of Carnegie Mellon University’s Tepper School of Business, built a dataset to test this. They linked records from the 2000 Census to administrative property and income-tax files, assembling information on more than 3.4 million parent-child pairs. The children were born between 1978 and 1986 and were around 39 years old when their housing wealth was measured around 2021. Property values came from commercial property-tax and deed records standardized across thousands of local jurisdictions.
How they measured persistence
To compare families, the researchers used a tool called a rank-rank relationship. Instead of looking at dollar amounts, they ranked each parent and each child by where they fell in their generation’s housing distribution, from the bottom to the top. The key number, the rank-rank slope, describes how much a child’s rank tends to rise as a parent’s rank rises. A slope of zero would mean a parent’s position tells you nothing about a child’s; a slope of one would mean the child’s position is fully inherited.
For housing capital, the slope came out to 0.43. In plain terms, children whose parents sat 10 ranks higher in the housing distribution landed, on average, about 4.3 ranks higher themselves. For labor earnings, the slope was lower, at 0.29, and for total income it fell in between, at 0.35. That difference offers evidence that housing wealth is passed down more reliably than income. The persistence was strong even though most parents were still alive when the children’s housing was measured, so estate transfers after death are not driving the result.
Three paths from parent to child
Because the dataset linked housing to income, the team could pull apart the reasons a parent’s housing wealth predicts a child’s. They identified three channels. The first is a labor income channel: children of wealthier parents tend to earn more, and higher earnings let them accumulate more housing. This accounted for about 40 percent of the persistence.
The second is a direct channel, which captures everything that lifts a child up the housing ladder even when their earnings are held constant, such as direct transfers of money, gifts toward a down payment, or financial know-how. This accounted for about 54 percent. In other words, among children earning the same amount, those with wealthier parents still held substantially more housing wealth.
The third, a savings and investment channel, would show up if children of wealthy parents chose to funnel more of each added dollar into housing. This explained only about 6 percent. As children earn more, they accumulate housing at roughly the same rate regardless of parental wealth. The authors interpret this pattern as showing that much of the inheritance of housing wealth operates outside the labor market, through direct transfers and access to opportunity rather than through different saving habits.
A widening racial gap
The study also examined differences between Black and White families, and the pattern differed sharply from what income studies tend to show. The Black-White income gap stays relatively steady across the parental distribution, around 13 to 16 ranks. The housing gap, by contrast, started small and grew large. Among children of parents at the bottom of the home-value distribution, the average White child was about 5 ranks above the average Black child. At the top, that gap widened to about 20 ranks.
When the researchers broke this down, earnings differences explained most of the gap at the bottom of the parental distribution but less than half at the top. The direct channel, the part not explained by earnings, dominated among higher-wealth families. They also found that the gaps were driven mainly by differences in whether children owned a home at all, rather than by differences in the value of homes among those who already owned. In simulations where Black children’s homeownership rates were raised to match White children’s, most of the gap closed.
The role of local housing markets
The final part of the study looked at where families lived. Housing mobility varied considerably across U.S. counties, and the geographic pattern did not line up neatly with income mobility. The correlation between the two was 0.41, suggesting that local factors shape each outcome but not in the same way.
To probe the role of housing markets more directly, the researchers used estimates of how easily each county can add new housing, a measure called supply elasticity. Counties where housing supply responds slowly to demand saw sharper price increases during the housing boom after the Great Recession. Comparing younger cohorts, who were more exposed to those price shocks, against older ones, the team found that children in more elastic counties saw higher homeownership and more upward housing mobility, with no matching effect on labor income. The authors interpret this as evidence that tight housing supply does more than raise prices; it reinforces the transmission of advantage by limiting who can buy in.
What it suggests, and what to keep in mind
Taken together, the authors argue that economic resources are concentrated across generations more than income studies alone would imply. As a check, they recreated their measure using a broader estimate of total wealth and found a nearly identical slope of 0.43.
A few caveats are worth holding onto. The findings describe associations, not proven cause and effect, except in the housing-supply analysis where the design supports stronger claims. The property data also misses homes held through business entities, so the study focuses on personal holdings. And the housing measure rests on gross asset values rather than equity, a choice the authors defend at length as a better proxy for long-run wealth. The practical takeaway is harder to act on as an individual than as a matter of policy: the study points toward housing access, and the supply constraints that narrow it, as forces shaping who gets ahead.
