Abstract: An extensive literature documents that economic shocks affect health outcomes, but mechanisms and distributional effects remain unclear. I study how a negative oil supply shock affects infant health using 1968-1973 Vital Statistics data. With an event-study framework that accounts for state-specific pre-trends, I find that states with higher fuel dependence experienced increases in birthweight following the 1973 oil embargo. Gains are larger for less-educated, relatively younger, and Black mothers at 2-3.5 grams. These improvements result from shifts in maternal composition, increased prenatal care use, and reduced air pollution.

Abstract: This study examines the economic consequences of oil price declines using difference-in-differences identification strategy. Educational outcomes are measured using data from the Stanford Education Data Archive (SEDA). We estimate that the shock increased Mathematics and English Language Arts (ELA) scores by approximately 0.02 to 0.06 standard deviations. These gains are concentrated among specific subgroups, including Hispanic, female, Asian, and economically disadvantaged (ECD) students.

Abstract: This paper examines the intertemporal elasticity of labor supply for taxicab drivers using a novel instrument. We leverage exogenous variation in earnings opportunities to identify labor supply responses. Our findings suggest positive intertemporal elasticity, indicating that drivers increase their labor supply when wages are more. These results have important implications for understanding labor market dynamics in the gig economy.

Abstract: I investigate the long-term causal effects of a government cycling program in Bihar, India on labor market outcomes using a difference-in-differences-in-differences (DDD) approach. The program provided bicycles to female students to reduce barriers to school. I examine whether this intervention had lasting impacts on employment, wages, and labor force participation. Results suggest significant improvements in labor market outcomes, particularly for women and rural populations.

Abstract: Crime rates in the U.S. have fallen over the past two decades, though periods like the pandemic saw sharp increases. This paper examines how the 2014 Medicaid expansion influenced crime in major cities, using daily crime data from the 21 largest U.S. cities. We provide the first causal analysis linking Medicaid expansion to urban crime trends, exploiting variation in state adoption timing to identify effects on violent and property crime rates.