
معرفی
Peter Hull is a Professor of Economics at Brown University, specializing in applied econometrics and public policy. He joined Brown in 2021 after roles at the University of Chicago and Microsoft Research. His research focuses on measuring institutional quality in education and healthcare, as well as systemic discrimination in high-stakes decision-making. Hull is affiliated with the National Bureau of Economic Research (NBER), MIT Blueprint Labs, and the CESifo Research Network.
Education: PhD in Economics from MIT (2017); BA in Economics from Wesleyan University (2010). Awards include the MIT Robert M. Solow Prize (2017) and Review of Economic Studies European Tour Membership (2017).
Research Interests: Hull’s work emphasizes causal inference methods, particularly quasi-experimental designs. He has developed frameworks for assessing school, hospital, and insurance plan quality, as well as analyzing discrimination in algorithms and bail decisions. His recent projects include measuring racial disparities in foster care placement and optimizing formula instruments for causal analysis.
Funded Research: Active grants include NSF-funded projects on algorithmic discrimination and health insurance mortality effects, totaling over $900,000. Completed grants include NIH pilot research on healthcare access and Arnold Foundation work on school effectiveness.
Teaching: Courses include Mathematical Econometrics, Applied Econometrics, and workshops in econometrics and economics.
Labs/Teams: Collaborates with researchers at NBER, MIT, and Microsoft on projects blending econometric innovation with policy relevance.



