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Are Minimum Wages a Silent Killer? New Evidence on Drunk Driving Fatalities

The Review of Economics and Statistics 2019 101(1), 192-199 open access
Abstract In volume 94 of this REVIEW, Adams, Blackburn, and Cotti (ABC), using Fatal Accident Reporting System data from 1998 to 2006, find that a 10% increase in the minimum wage is associated with a 7% to 11% increase in alcohol-related fatal traffic accidents involving teen drivers. We find this result does not hold when the analysis period is expanded to include 1991 through 2013. In addition, auxiliary analyses provide no support for income-driven increases in alcohol consumption, the primary mechanism posited by ABC. Together, our results suggest that minimum wage increases are not a silent killer.

When War Comes Home: The Effect of Combat Service on Domestic Violence

The Review of Economics and Statistics 2016 98(2), 209-225 open access
Abstract This study is the first to estimate the effect of war service in the Global War on Terrorism on domestic violence. We exploit a natural experiment in overseas deployment assignment among active-duty servicemen by relying on theoretical and empirical evidence that, conditional on military rank and occupation, deployment assignments are orthogonal to the propensity for violence. Our results show that assignment to combat substantially increases the probability of intimate partner violence and child abuse. Descriptive evidence suggests that the effects may be explained in part by the stress- and substance use–related consequences of war.

Sexual Violence against Women and Labor Market Outcomes

American Economic Review 2013 103(3), 274-278
This study is the first in the economics literature to explore the labor market consequences of sexual violence toward women. Using data from the Add Health, we find that sexual violence against women is associated with a 6.6 percent lower probability of labor force participation and 5.1 percent lower average wages. These estimates are robust to controls for unobserved heterogeneity at the school- and family-levels, as well as detailed controls for personality, personal discount rates, and risk preferences. We find that the adverse labor market effects of sexual violence are partially explained by its adverse psychological and physical consequences.

Minimum Wages and Poverty: New Evidence from Dynamic Difference-in-Differences Estimates

The Review of Economics and Statistics 2025
Abstract This study re-examines Dube (2019), which finds large and statistically significant poverty-reducing effects of the minimum wage. We show that his estimated elasticities are fragile and sensitive to (1) time period under study, (2) choice of macroeconomic controls, (3) limiting counterfactuals to geographically proximate states (“close controls”), which poorly match treatment states' pre-treatment poverty trends, and (4) accounting for potential bias caused by heterogeneous and dynamic treatment effects. Using data spanning nearly four decades from the March Current Population Survey and a dynamic difference-in-differences (DiD) approach, we find that a 10 percent increase in the minimum wage is associated with a (statistically insignificant) 0.17 percent increase in the probability of longer-run poverty among all persons. With 95% confidence, we can rule out long-run poverty elasticities with respect to the minimum wage of less than -0.129. Our null results persist across a variety of DiD estimation strategies, including two-way fixed effects, stacked DiD, Callaway and Sant'Anna, and synthetic DiD. We conclude that, to date, the preponderance of evidence suggests that minimum wage increases are an ineffective policy strategy for alleviating poverty.