Peter Hull is young econometrician at Brown University who writes about a variety of applied topics such as education, labor and criminal justice. Most of his work manages to simultaneously reveal something new about a phenomena while also extending our methodological understanding of causal inference. In this episode of Mixtape: the Podcast, Peter and I talk about growing up in Maine as a child spending time near the water and outdoors as well as in mathematics. We talk about the unexpected journey he made into economics as a college student when he saw its potential to meaningfully inform public policy, as well as econometrics' ability to answer causal questions. We talk about his love of instrumental variables in particular, the potential outcomes model, causal inference and a new paper of his with Michal Kolesar and Paul Goldsmith-Pinkham on interpreting regressions with multiple treatment variables. Get full access to Scott's Substack at causalinf.substack.com/subscribe