This paper examines the long-run effects of the 1980-1982 recession on education and income.
Using confidential Census data, I estimate generalized difference-in-differences regressions that exploit variation across counties in the severity of the recession and across cohorts in age at the time of the recession. I find that children born in counties with a more severe recession are less likely to obtain a college degree and, as adults, earn less income and experience higher poverty rates. The negative effects on college graduation are most severe and essentially constant for individuals age 0-13 in 1979, suggesting that the underlying mechanisms are a decline in childhood human capital or a long-term decline in parental resources to pay for college. I find little evidence that states with more generous or more progressive transfer systems mitigated these long-run effects. The magnitude of my estimates and the large number of affected individuals suggest that the 1980-1982 recession depresses aggregate economic output today.
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The Impact of Parental Resources on Human Capital Investment and Labor Market Outcomes: Evidence from the Great Recession
June 2024
Working Paper Number:
CES-24-34
I study the impact of parents' financial resources during adolescence on postsecondary human capital investment and labor market outcomes, using house value changes during the Great Recession of 2007-2009 as a natural experiment. I use several restricted-access datasets from the U.S. Census Bureau to create a novel dataset that includes intergenerational linkages between children and their parents. This data allows me to exploit house value variation within labor markets, addressing the identification concern that local house values are related to local economic conditions. I find that the average decrease to parents' home values lead to persistent decreases in bachelor's degree attainment of 1.26%, earnings of 1.96%, and full-time employment of 1.32%. Children of parents suffering larger house value shocks are more likely to substitute into two-year degree programs, drop out of college, or be enrolled in a college program in their late 20s.
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Family Resources and Human Capital in Economic Downturns
March 2024
Working Paper Number:
CES-24-15
I study how recessions impact the human capital of young adults and how these effects vary over the parent income gradient. Using a novel confidential linked survey dataset from U.S. Census, I document that the negative effects of worse local unemployment shocks on educational attainment are strongly concentrated among middle-class children, with losses in parental home equity being potentially important mechanisms. To probe the aggregate implications of these findings and assess policy implications, I develop a model of selection into college and life-cycle earnings that comprises endogenous parental transfers for education, multiple schooling options, and uncertainty in post-graduation employment outcomes. Simulating a recession in the model produces a 'hollowing out the middle' in lifecycle earnings in the aggregate, and educational borrowing constraints play a key role in this result. Counterfactual policies to expand college access in response to the recession can mitigate these effects but struggle to be cost effective.
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Who Scars the Easiest? College Quality and the Effects of Graduating into a Recession
September 2024
Working Paper Number:
CES-24-47
Graduating from college into a recession is associated with earnings losses, but less is known about how these effects vary across colleges. Using restricted-use data from the National Survey of College Graduates, we study how the effects of graduating into worse economic conditions vary over college quality in the context of the Great Recession. We find that earnings losses are concentrated among graduates from relatively high-quality colleges. Key mechanisms include substitution out of the labor force and into graduate school, decreased graduate degree completion, and differences in the economic stability of fields of study between graduates of high- and low-quality colleges.
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Did Timing Matter? Life Cycle Differences in Effects of Exposure
to the Great Recession
September 2019
Working Paper Number:
CES-19-25
Exposure to a recession can have persistent, negative consequences, but does the severity of those consequences depend on when in the life cycle a person is exposed? I estimate the effects of exposure to the Great Recession on employment and earnings outcomes for groups defined by year of birth over the ten years following the beginning of the recession. With the exception of the oldest workers, all groups experience reductions in earnings and employment due to local unemployment rate shocks during the recession. Younger workers experience the largest earnings losses in percent terms (up to 13 percent), in part because recession exposure makes them persistently less likely to work for high-paying employers even as their overall employment recovers more quickly than older workers'. Younger workers also experience reductions in earnings and employment due to changes in local labor market structure associated with the recession. These effects are substantially smaller in magnitude but more persistent than the effects of unemployment rate increases.
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The Matching Multiplier and the Amplification of Recessions
June 2022
Working Paper Number:
CES-22-20
This paper shows that the unequal incidence of recessions in the labor market amplifies aggregate shocks. Using administrative data from the United States, I document a positive covariance between worker marginal propensities to consume (MPCs) and their elasticities of earnings to GDP, which is a key moment for a new class of heterogeneous-agent models. I define the Matching Multiplier as the increase in the multiplier stemming from this matching of high MPC workers to more cyclical jobs. I show that this covariance is large enough to increase the aggregate MPC by 20 percent over an equal exposure benchmark.
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Family Formation and the Great Recession
December 2020
Working Paper Number:
CES-20-42R
This paper studies how exposure to recessions as a young adult impacts long-term family formation in the context of the Great Recession. Using confidential linked survey data from U.S. Census, I document that exposure to a 1 pp larger unemployment shock in the Great Recession in one's early 20s is associated with a 0.8 pp decline in likelihood of marriage by their early 30s. These effects are not explained by substitution toward cohabitation with unmarried partners, are concentrated among whites, and are notably absent for individuals from high-income families. The estimated effects on fertility are also negative but imprecisely estimated. A back-of-the-envelope exercise suggests that these reductions in family formation may have increased the long-run impact of the Recession on consumption relative to its impact on individual earnings by a considerable extent.
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FIFTY YEARS OF FAMILY PLANNING:
NEW EVIDENCE ON THE LONG-RUN EFFECTS OF INCREASING ACCESS TO CONTRACEPTION
February 2014
Working Paper Number:
CES-14-15
This paper assembles new evidence on some of the longer-term consequences of U.S. family planning policies, defined in this paper as those increasing legal or financial access to modern contraceptives. The analysis leverages two large policy changes that occurred during the 1960s and 1970s: first, the interaction of the birth control pill's introduction with Comstock-era restrictions on the sale of contraceptives and the repeal of these laws after Griswold v. Connecticut in 1965; and second, the expansion of federal funding for local family planning programs from 1964 to 1973. Building on previous research that demonstrates both policies' effects on fertility rates, I find suggestive evidence that individuals' access to contraceptives increased their children's college completion, labor force participation, wages, and family incomes decades later.
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Air Quality, Human Capital Formation and the Long-term Effects of Environmental Inequality at Birth
May 2017
Working Paper Number:
carra-2017-05
A growing body of literature suggests that pollution exposure early in life can have substantial long term effects on an individual's economic well-being as an adult, however the mechanisms for these effects remain unclear. I contribute to this literature by examining the effect of pollution exposure on several intermediate determinants of adult wages using a unique linked dataset for a large sample of individuals from two cohorts: an older cohort born around the 1970, and a younger cohort born around 1990. This dataset links responses to the American Community Survey to SSA administrative data, the universe of IRS Form 1040 tax returns, pollution concentration data from EPA air quality monitors and satellite remote sensing observations. In both OLS and IV specifications, I find that pollution exposure at birth has a large and economically significant effect on college attendance among 19-22 year olds. Using conventional estimates of the college wage premium, these effects imply that a 10 'g/m3 decrease in particulate matter exposure at birth is associated with a $190 per year increase in annual wages. This effect is smaller than the wage effects in the previous literature, which suggests that human capital acquisition associated with cognitive skills cannot fully explain the long term wage effects of pollution exposure. Indeed, I find evidence for an additional channel working through non-cognitive skill -pollution exposure at birth increases high school non-completion and incarceration among 16-24 year olds, and that these effects are concentrated within disadvantaged communities, with larger effects for non-whites and children of poor parents. I also find that pollution exposure during adolescence has statistically significant effects on high school non-completion and incarceration, but no effect on college attendance. These results suggest that the long term effects of pollution exposure on economic well-being may run through multiple channels, of which both non-cognitive skills and cognitive skills may play a role.
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Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records
July 2014
Working Paper Number:
carra-2014-05
This paper examines sub-state spatial and temporal variation in misreporting of participation in the Supplemental Nutrition Assistance Program (SNAP) using several years of the American Community Survey linked to SNAP administrative records from New York (2008-2010) and Texas (2006-2009). I calculate county false-negative (FN) and false-positive (FP) rates for each year of observation and find that, within a given state and year, there is substantial heterogeneity in FN rates across counties. In addition, I find evidence that FN rates (but not FP rates) persist over time within counties. This persistence in FN rates is strongest among more populous counties, suggesting that when noise from sampling variation is not an issue, some counties have consistently high FN rates while others have consistently low FN rates. This finding is important for understanding how misreporting might bias estimates of sub-state SNAP participation rates, changes in those participation rates, and effects of program participation. This presentation was given at the CARRA Seminar, June 27, 2013
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Introduction of Head Start and Maternal Labor Supply: Evidence from a Regression
Discontinuity Design
January 2016
Working Paper Number:
CES-16-35
I use the non-public decennial censuses in 1970 to investigate the effect of the Head Start program on maternal labor supply and schooling in its early years. I exploit a discontinuity in county-level Head Start funding beginning in the late 1960s to explore differences in countylevel maternal employment and maternal schooling. The results provide suggestive evidence that the more availability of Head Start led to an increase the nursery school enrollment of children and a decrease in maternal labor supply. In addition, the ITT estimates imply a relatively large, negative effect of enrollment on maternal labor supply. However, the estimates are somewhat sensitive to addition of covariates and the standard errors are also large to draw firm inferences.
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