This dissertation uses reduced-form techniques to causally answer questions of direct importance in the fields of public policy broadly, but more specifically in the areas of health economics, labor economics, and education. The first chapter examines the effectiveness of Ohio's "Vax-a-Million" vaccination campaign -- a state-funded program that offered entry to a cash lottery for getting (or having already received) the vaccine for the COVID-19 coronavirus. We used an improvement upon the synthetic control method, which allowed us to generate a ``Synthetic Ohio'' which we could use as an untreated counterfactual. Using public health data, we find that the lottery was effective not only in boosting vaccination rates, but in also reducing CO...