The economic burden of natural disasters is shaped by who is exposed, who experiences losses, how those losses alter individual economic trajectories, and how affected communities evolve in the aftermath. We link property-level damage data from over 100 U.S. wildfires to administrative tax and Census data to understand individual level relationships between disaster damage and economic outcomes. Residents of burned areas are wealthier than the U.S. population on average, but within these wildfire perimeters the likelihood that a home burns is negatively correlated with pre-fire income. Home destruction imposes costs beyond rebuilding the property: occupants of destroyed homes experience lower income for three years post-fire, producing cumulative income losses equal to 26 percent of pre-fire annual income. We do not detect income or employment effects for residents without direct property damage. Community recovery is slow and accompanied by changes in composition. Four years after a fire, half of destroyed addresses remain unoccupied and reoccupied addresses house residents with substantially higher incomes than before.
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Flood Risk, Insurance, and Housing in the United States
June 2026
Working Paper Number:
CES-26-37
Flooding is among the most salient natural hazards facing households in the United States. A large body of evidence has documented a pattern of disproportionate social vulnerability in floodplains. However, little evidence exists on how household-level exposure to flood risk is distributed. We fill this gap by combining parcel-level flood risk with confidential linked survey and administrative data held at the US Census Bureau. Although net migration to Census blocks in floodplains has increased in recent years, there has been essentially no net migration to parcels with flood risk or change in the overall share of households living in floodplains. Income gradients in flood risk are highly non-linear at the household level, with slightly negative income gradients for the bottom 90 percentiles of the income distribution that are dwarfed by disproportionate exposure in the top decile, especially when considering multiple property ownership. This nonlinearity is largely driven by differences in building type and homeownership within narrow income groups. In contrast to the conclusions in the literature using aggregate data, our household-level analysis suggests that households in floodplains are less disadvantaged and increasingly protected from the impacts of flooding, even as a vulnerable subpopulation of low-income, uninsured homeowners remains.
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Parental Death, Inheritance, and Labor Supply in the United States
December 2025
Working Paper Number:
CES-25-71
We are the first to study how inheritances affect labor supply in the U.S. using large-scale administrative data. Leveraging federal tax and Social Security records, we estimate event studies around parental death to investigate impacts on adult children. Our results indicate that the death of a last parent causes sizable gains in investment income'our main proxy for inheritances'and proportionate reductions in labor supply. On average, annual per-adult investment income at the tax unit level increases by about $300 (45 percent) and annual per-adult wage earnings decrease by $600 (2 percent). These earnings responses are large relative to the implied wealth transfer. Income effects are the dominant channel through which parental death reduces earnings, with children of wealthier parents exhibiting larger earnings reductions. Over six years, inheritances slightly equalize the distribution of investment income.
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Income, Wealth, and Environmental Inequality in the United States
October 2024
Working Paper Number:
CES-24-57
This paper explores the relationships between air pollution, income, wealth, and race by combining administrative data from U.S. tax returns between 1979'2016, various measures of air pollution, and sociodemographic information from linked survey and administrative data. In the first year of our data, the relationship between income and ambient pollution levels nationally is approximately zero for both non-Hispanic White and Black individuals. However, at every single percentile of the national income distribution, Black individuals are exposed to, on average, higher levels of pollution than White individuals. By 2016, the relationship between income and air pollution had steepened, primarily for Black individuals, driven by changes in where rich and poor Black individuals live. We utilize quasi-random shocks to income to examine the causal effect of changes in income and wealth on pollution exposure over a five year horizon, finding that these income'pollution elasticities map closely to the values implied by our descriptive patterns. We calculate that Black-White differences in income can explain ~10 percent of the observed gap in air pollution levels in 2016.
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Building the Prototype Census Environmental Impacts Frame
April 2023
Working Paper Number:
CES-23-20
The natural environment is central to all aspects of life, but efforts to quantify its influence have been hindered by data availability and measurement constraints. To mitigate some of these challenges, we introduce a new prototype of a microdata infras tructure: the Census Environmental Impacts Frame (EIF). The EIF provides detailed individual-level information on demographics, economic characteristics, and address level histories ' linked to spatially and temporally resolved estimates of environmental conditions for each individual ' for almost every resident in the United States over the past two decades. This linked microdata infrastructure provides a unique platform for advancing our understanding about the distribution of environmental amenities and hazards, when, how, and why exposures have evolved over time, and the consequences of environmental inequality and changing environmental conditions. We describe the construction of the EIF, explore issues of coverage and data quality, document patterns and trends in individual exposure to two correlated but distinct air pollutants as an application of the EIF, and discuss implications and opportunities for future research.
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Divorce, Family Arrangements, and Children's Adult Outcomes
May 2025
Working Paper Number:
CES-25-28
Nearly a third of American children experience parental divorce before adulthood. To understand its consequences, we use linked tax and Census records for over 5 million children to examine how divorce affects family arrangements and children's long-term outcomes. Following divorce, parents move apart, household income falls, parents work longer hours, families move more frequently, and households relocate to poorer neighborhoods with less economic opportunity. This bundle of changes in family circumstances suggests multiple channels through which divorce may affect children's development and outcomes. In the years following divorce, we observe sharp increases in teen births and child mortality. To examine long-run effects on children, we compare siblings with different lengths of exposure to the same divorce. We find that parental divorce reduces children's adult earnings and college residence while increasing incarceration, mortality, and teen births. Changes in household income, neighborhood quality, and parent proximity account for 25 to 60 percent of these divorce effects.
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The Location of Displaced New Orleans Residents in the Year After Hurricane Katrina
September 2012
Working Paper Number:
CES-12-19
Using individual data from the restricted version of the American Community Survey, we examined the displacement locations of pre-Katrina adult residents of New Orleans in the year after the hurricane. Over half (53%) of adults had returned to'or remained in'the New Orleans metropolitan area, with just under one-third of the total returning to the dwelling in which they resided prior to Katrina. Among the remainder, Texas was the leading location with almost 40% of those living away from the metropolitan area (18% of the total), followed by other locations in Louisiana (12%), the South region of the US other than Louisiana and Texas (12%), and elsewhere in the U.S. (5%). Black adults were considerably more likely than nonblack adults to be living elsewhere in Louisiana, in Texas, and elsewhere in the South. The observed race disparity was not accounted for by any of the demographic or socioeconomic covariates in the multinomial logistic regression models. Consistent with hypothesized effects, we found that young adults (25'39 years of age) were more likely to move further away from New Orleans and that adults born outside Louisiana were substantially more likely to have relocated away from the state.
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Transitional Costs and the Decline of Coal: Worker-Level Evidence
September 2024
Working Paper Number:
CES-24-53
We examine the labor market impacts of the U.S. coal industry's decline using comprehensive administrative data on workers from 2005-2021. Coal workers most exposed to the industry's contraction experienced substantial earnings losses, equivalent to 1.6 years of predecline wages. These losses stem from both reduced employment duration (0.37 fewer years employed) and lower annual earnings (17 percent decline) between 2012-2019, relative to similar workers less exposed to coal's decline. Earnings reductions primarly occur when workers remain in local labor markets but are not employed in mining. While coal workers do not exhibit lower geographic mobility, relocation does not significantly mitigate their earnings losses.
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Storms and Jobs: The Effect of Hurricanes on Individuals' Employment and Earnings over the Long Term*
January 2015
Working Paper Number:
CES-15-21R
Hurricanes Katrina and Rita devastated the U.S. Gulf Coast in 2005, destroying homes and businesses and causing mass evacuations. The economic effects of disasters are often studied at a regional level, but little is known about the responsiveness of individuals' employment and earnings to the damages, disruption, and rebuilding'particularly in the longer run. Our analysis is based on data that tracks workers over nine years, including seven years after the storms. We estimate models that compare the evolution of earnings for workers who resided in a storm-affected area with those who resided in a suitable control counties. We find that, on average, the storms reduced the earnings of affected individuals during the first year after the storm. These losses reflect various aspects of the short-run disruption caused by the hurricanes, including job separations, migration to other areas, and business contractions. Starting in the third year after the storms, however, we find that the earnings of affected individuals outpaced the earnings of individuals in the control sample. We provide evidence that the long-term earnings gains were the result of wage growth in the affected areas relative to the control areas, due to reduced labor supply and increased labor demand, especially in sectors related to rebuilding. Despite the short-term earnings losses, we find a net increase in average quarterly earnings among affected individuals over the entire post-storm period. However, those who worked in sectors closely tied to tourism or the size of the local population experienced net earnings losses.
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The Privacy-Protected Gridded Environmental Impacts Frame
December 2024
Working Paper Number:
CES-24-74
This paper introduces the Gridded Environmental Impacts Frame (Gridded EIF), a novel privacy-protected dataset derived from the U.S. Census Bureau's confidential Environmental Impacts Frame (EIF) microdata infrastructure. The EIF combines comprehensive administrative records and survey data on the U.S. population with high-resolution geospatial information on environmental hazards. While access to the EIF is restricted due to the confidential nature of the underlying data, the Gridded EIF offers a broader research community the opportunity to glean insights from the data while preserving confidentiality. We describe the data and privacy protection process, and offer guidance on appropriate usage, presenting practical applications.
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Household Wealth and Entrepreneurial Career Choices: Evidence from Climate Disasters
July 2024
Working Paper Number:
CES-24-39
This study investigates how household wealth affects the human capital of startups, based on U.S. Census individual-level employment data, deed records, and geographic information system (GIS) data. Using floods as a wealth shock, a regression discontinuity analysis shows inundated residents are 7% less likely to work in startups relative to their neighbors outside the flood boundary, within a 0.1-mile-wide band. The effect is more pronounced for homeowners, consistent with the wealth effect. The career distortion leads to a significant long-run income loss, highlighting the importance of self-insurance for human capital allocation.
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