This study constructs a publicly available atlas of children's outcomes in
adulthood by Census tract using anonymized longitudinal data
covering nearly the entire U.S. population. For each tract, we
estimate children's earnings distributions, incarceration rates,
and other outcomes in adulthood by parental income, race, and
gender. These estimates allow us to trace the roots of outcomes
such as poverty and incarceration back to the neighborhoods in
which children grew up.
The authors find that children's outcomes vary sharply across nearby areas: for
children of parents at the 25th percentile of the income distribution,
the standard deviation of mean household income at age 35 is $5,000
across tracts within counties. They illustrate how these tract-level data
can provide insight into how neighborhoods shape the development of
human capital and support local economic policy using two applications.
First, the estimates permit precise targeting of policies to improve
economic opportunity by uncovering specific neighborhoods where certain
subgroups of children grow up to have poor outcomes. Neighborhoods
matter at a very granular level: conditional on characteristics such as
poverty rates in a child's own Census tract, characteristics of tracts
that are one mile away have little predictive power for a child's
outcomes. The historical estimates are informative predictors of
outcomes even for children growing up today because neighborhood
conditions are relatively stable over time.
Second, they show that the
observational estimates are highly predictive of neighborhoods' causal
effects, based on a comparison to data from the Moving to Opportunity
experiment and a quasi-experimental research design analyzing movers'
outcomes.
They then identify high-opportunity neighborhoods that are
affordable to low- income families, providing an input into the design
of affordable housing policies. The measures of children's long-term
outcomes are only weakly correlated with traditional proxies for local
economic success such as rates of job growth, showing that the
conditions that create greater upward mobility are not necessarily the
same as those that lead to productive labor markets.
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