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Quantifying the Benefits of Social Insurance: Unemployment Insurance and Health

The Review of Economics and Statistics 2020 102(3), 490-505
While the unemployment insurance (UI) program is one of the largest safety net programs in the United States, research on its benefits is limited. This paper exploits plausibly exogenous changes in state UI laws to empirically estimate whether UI generosity mitigates any of the previously documented negative health effects of job loss. The results show that higher UI generosity increases health insurance coverage and utilization, with stronger effects during periods of high unemployment rates. During such periods, higher UI generosity also leads to improved self-reported health. Finally, I find no effects on risky behaviors or health conditions.

Long-Run Effects of Incentivizing Work after Childbirth

American Economic Review 2024 114(6), 1692-1722
This paper identifies the impact of increasing post-childbirth work incentives on mothers’ long-run careers. We exploit variation in work incentives across mothers based on the timing of a first birth and eligibility for the 1993 expansion of the Earned Income Tax Credit. Ten to nineteen years after a first birth, single mothers who were exposed to the expansion immediately after birth (“early”), rather than 3–6 years later (“late”), have 0.62 more years of work experience and 4.2 percent higher earnings conditional on working. We show that higher earnings are primarily explained by improved wages due to greater work experience.

The Long-Run Effects of Disruptive Peers

American Economic Review 2018 108(11), 3377-3415
A large and growing literature has documented the importance of peer effects in education. However, there is relatively little evidence on the long-run educational and labor market consequences of childhood peers. We examine this question by linking administrative data on elementary school students to subsequent test scores, college attendance and completion, and earnings. To distinguish the effect of peers from confounding factors, we exploit the population variation in the proportion of children from families linked to domestic violence, who have been shown to disrupt contemporaneous behavior and learning. Results show that exposure to a disruptive peer in classes of 25 during elementary school reduces earnings at age 24 to 28 by 3 percent. We estimate that differential exposure to children linked to domestic violence explains 5 percent of the rich-poor earnings gap in our data, and that each year of exposure to a disruptive peer reduces the present discounted value of classmates’ future earnings by $80,000.