Ed Rubin, Assistant Professor of Economics, focuses on topics at the intersection of the environment, regulation, and inequality. By combining causal insights from statistics and econometrics with tools from remote sensing, spatial-data analysis, natural-language processing, and machine learning, Ed's research supports empirically grounded policy insights for more efficient and socially just public policies.
In the classroom, Ed teaches three courses on applied econometrics. These courses move students from the tools of basic statistical analyses to prediction methods to causally focused data analysis. In addition, Ed organizes TWEEDS (The Workshop in Environmental Economics and Data Science) with his colleagues and friends Patrick Baylis (UBC), Grant McDermott (UO), and Eric Zou (UO).
Ed's website contains additional information on his research and teaching.