*Names in bold indicate Presenter
This paper uses individual-level data on teenagers, young adults, and school staff across multiple years from two existing data sets: the Youth Risk Behavioral Surveillance System and the Tobacco Use Supplement to the Current Population Survey. We construct pooled cross-sections from each of the data sets, which are then supplemented with additional data from a variety of sources. To estimate the effect of the tobacco bans on the smoking behavior of these individuals, we estimate a series of difference-in-differences regression models. These models exploit variation in tobacco bans across states and over time in order to estimate the causal effect of the bans. Preliminary results suggest little impact of the bans on the smoking behavior of students and teachers, but a decrease in smoking intensity for non-teaching school staff.